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With a Data Science Course in Chennai, you will be able to gain valuable insights from both structured and unstructured data. This, in turn, will help you build a successful career as a Data Science expert. Besant’s Data Science Training in Chennai is the best all-inclusive course to invest in which will help you land a lucrative IT job as Data Scientist, Data Analyst, Data Engineer, Data Architect and so on.

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About Data Science Course

Key highlights of our course:

  • Modules made more useful with practical assignments.
  • Besant’s instructors are top IT experts having 10+ years of experience.
  • We offer 24×7 support.
  • We offer live online training.
  • You can also learn from easily accessible recorded training sessions.
  • You get full lab support. Need a software for learning? Come to us.
  • Enrolment costs are reasonable.
  • Class timings are flexible.
  • Placement guidance guaranteed.
  • Live demos as per the demand of the course.
  • Most importantly, we offer a course completion certificate that’s globally valid!

What is Data Science? What learning outcomes can you expect from your training at Besant Technologies?

Data Science is an interdisciplinary approach to deriving insights from structured and unstructured data. Various processes, systems, algorithms and scientific methods are used for the extraction of meaningful insights out of random data.

There are numerous reasons for you to take our Data Science Course in Chennai, but we recommend this course for the diverse career avenues it can open up for anyone. What learning outcomes can you expect from this course? Read on to find out.

The learning outcomes of Data Science Training in Chennai at Besant:

  • Besant’s Data Science Course offers hands-on experience in extracting, processing and interpreting data.
  • You will understand the general importance of data and its significance from a business standpoint.
  • We have a systemically designed and extremely focused curriculum that prepares you for internships and full-time placements with reputed MNCs.
  • Our modules are targeted at developing advanced data skillsets in students that are extremely necessary for solving various prevalent problems.
  • You will be able to use appropriate tools and techniques for tackling real world data challenges.
  • You will be thorough with both principles and practical applicability of Data Science as a field of knowledge.
  • You will also be able to apply algorithms for machine learning.

Data Science Training in Chennai

Advantages of Data Science Certification Course in Chennai at Besant:

  • With our certification course, you will be eligible for diverse job opportunities in the field of Data Science.
  • Companies utilize data in various ways. By being a certified Data Science expert, you can be a valuable asset for businesses.
  • Data Science salaries are one of the highest in the IT world. By choosing to take Besant’s globally recognized Data Science Training in Chennai, you make yourself apt for such high paying jobs.
  • Our certification course keeps up your competitive advantage by helping you get noticed by big hiring companies.
  • Your learnings from the course are validated by the course completion certificate which earns you global appeal as a job candidate.

Who can enroll for Besant’s Data Science Certification Course in Chennai?

If you have the desire to join our course, you can join it regardless of your educational background.

You don’t need to have any specialized IT knowledge to join our Data Science Course in Chennai. However, there are many global certification exams that require you to have specific educational qualifications.

The most popular certifications for Data Science:

Data Science Council of America (DASCA), Principle Data Scientist (PDS).

There are four tracks and each track requires professional experience in the capacity of Data Scientist for at least 10 years. The tracks involve high-level topics in technology and analysis. Three tracks out of four require a degree in some master’s program. The certification is valid for a lifetime, but each track will cost more than a lot of other exams.

Certified Analytics Professional (CAP).

With this certification, you get valuable big data insights. To earn a CAP certification, it’s required that you clear the Associate test. INFORMS members receive a discount on the certification fee. The validity of this certification is 3 years.

Open Certified Data Scientist (Open CDS)

You can get this one via board review and application, rather than traditional coursework or exams. As you move through its different certification levels which are three in total, you gain experience which gets reflected in your certification. The certification’s validity is for a lifetime.

Data Science Council of America (DASCA), Senior Data Scientist (SDS).

There are five tracks to this certification. Each track demands different experience. The 1st track requires a minimum of 5 years of Data Science professional experience and a bachelor’s degree. Remaining tracks need you to have a master’s in addition to other certifications. Make sure you check the requirements of each program. This program is multifaceted in nature. The validity of DASCA’s certification is 5 years.

SAS Certified Big Data Professional

This program requires participants to have some programming experience in SAS or some other language. This certification covers nine courses that will cover basic statistics, data analysis, communication and programming and data tools. It is valid for a lifetime.

SAS Certified Advanced Analytics Professional

With this certification, you will know a lot about predictive modeling, data optimization etc. To earn the certification, you must have done nine courses besides clearing three exams. A minimum of 6 months of experience is required in SAS or some other language. If you have a minimum of 6 months worth experience in Data Science for businesses, then it’s highly recommended that you do this course. This certification has a lifetime validity.

SAS Certified Data Scientist

The SAS certifications you have read about above combine with this course to earn you an extra distinction. To be eligible for this program, you must have cleared the earlier courses. It teaches improvement and management of data as well as its manipulation and access. Additionally, you will master using tools for data visualization. The validity of the certificate is for a lifetime.

Google Data Machine Learning

Mastery in three tracks are required to obtain this certification. They all focus heavily on using Google Cloud for analyzing data. There are also modules that focus on machine learning and data engineering. The certification’s validity lasts for lifetime.

Google Certified Professional Data Engineer

This exam is for candidates that are familiar with GCP or Google’s cloud platform. It tests a candidate’s knowledge in this area. Your understanding of the models of machine learning starting from design through security and operation will be assessed. This certification does not expire.

Cloudera Certified Associate Data Analyst

The test assesses your knowledge of the enterprise software by Cloudera. This exam also tests your knowledge in programming, analyzing and administering on Cloudera. All these skills are essential for Data Scientists, making this certification useful for beginners. The certification has a validity of two years.

IBM Data Science Professional Certificate

It is for nine courses and covers areas like a capstone in applied Data Science, machine learning, SQL, Python and databases, data analysis and visualization etc.

Register for a subscription online to complete the program according to your convenience. Once you have completed the training, you can include the project portfolio in your resume. It’s however recommended that you complete the program in three months. The certification is valid for life.

Cloudera Certified Professional: CCP Data Engineer

This exam is only available for those who have cleared the Associate test. This is a high- level, performance-oriented certification which needs you to have deep knowledge of data engineering. Data Scientists that develop and design for production ecosystems benefit immensely from this course. The test lasts for 4 hours and requires you to resolve a variety of customer problems with the help of Cloudera Enterprise cluster. The certification expires in 3 years.

Dell EMC Data Science Track

The training to earn this certification takes place in 2 levels. You first receive the associate certification in Data Science basics and big data analysis. The second program covers platforms such as Hive, natural language processing, Hadoop and HBase, visualization methods and more.

Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics

Microsoft offers a wide range of specialties and IT skills, including this certification. The tracks on Data Science include data analysis, management, and its applications in businesses. The certification involves rigorous assessment. And it has a validity of 3 years.

Microsoft Certified Azure Data Scientist Associate

For this certification, you must have expertise in applying Data Science to run and implement machine learning with the help of Azure. You need to have experience with Data Science, Azure Data bricks and Azure Machine Learning. This certification is valid for a lifetime.

Oracle Business Intelligence

Many popular computer languages and database software known to the world such as Java and MySQL are owned by Oracle. Oracle’s BI tools are in use in many big companies, so becoming certified in this course can add value to your skills. Oracle offers several in-person and online tests to offer relevant certifications.

Institute for Operations Research and the Management Sciences Certified Analytics Professional (CAP).

This certification involves training in the development of analytical methods, model building, lifecycle management, and analytic problems. It also provides data acquisition and implementation. The exam doesn’t focus on one platform, it covers all aspects of Data Science. A degree in some bachelor’s program is required, along with a minimum of 3 years of analytics experience. INFORMS requires that candidates verify their skills by their employer.

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Syllabus of Data Science Course in Chennai

Data Science with Python

Module 1: Introduction to Data Science (Duration-1hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & its types

Module 2: Introduction to Python (Duration-1hr)

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview
Hands-on-Exercise:
  • Installing Python idle for windows,Linux and
  • Creating “Hello World” code

Module 3: Python Basics (Duration-5hrs)

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels
Hands-on-Exercise-Constructing Operators
  • Practice and Quickly learn Python necessary skills by solving simple questions and problems.
  • how Python uses indentation to structure a program, and how to avoid some common indentation errors.
  • You executed to make simple numerical lists, as well as a few operations you can perform on numerical lists, tuple, dictionary and set

Module 4: Python Packages (Duration-2hrs)

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library
Hands-on-Exercise:
  • Installing jupyter notebook for windows, Linux and
  • Installing numpy, pandas and matplotlib

Module 5: Importing Data (Duration-1hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to CSV file
Hands-on-Exercise:
  • To generate data sets and create visualizations of that data. You learned to create simple plots with matplotlib, and you saw how to use a scatter plot to explore random
  • You learned to create a histogram with Pygal and how to use a histogram to explore the results of rolling dice of different
  • Generating your own data sets with code is an interesting and powerful way to model and explore a wide variety of real-world
  • As you continue to work through the data visualization projects that follow, keep an eye out for situations you might be able to model with

Module 6: Manipulating Data (Duration-1hr)

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques
Hands-on-Exercise:
  • As you gain experience with CSV and JSON files, you’ll be able to process almost any data you want to analyze.
  • Most online data sets can be downloaded in either or both of these From working with these formats, you’ll be able to learn other data formats as well.

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  • Probability Basics
    • What does it mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  • Bias variance Tradeoff
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • Scatter plot
    • Cook’s Distance
  • Missing Value treatment
    • What is NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • positive & Negative correlation
Hands-on-Exercise:
  • Compute probability in a situation where there are equally-likely outcomes
  • Apply concepts to cards and dice
  • Compute the probability of two independent events both occurring
  • Compute the probability of either of two independent events occurring
  • Do problems that involve conditional probabilities
  • Calculate the probability of two independent events occurring
  • List all permutations and combinations
  • Apply formulas for permutations and combinations

Module 8: Error Metrics

  • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE
Hands-on-Exercise:
  • State why the z’ transformation is necessary
  • Compute the standard error of z
  • Compute a confidence interval on ρ The computation of a confidence interval
  • Estimate the population proportion from sample proportions
  • Apply the correction for continuity

Machine Learning

Supervised Learning

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure Bias Variance Tradeoff
    • ROC curve
    • Bias Variance Tradeoff
Hands-on-Exercise:
  • we’ve reviewed the main ways to approach the problem of modeling data using simple and definite

Unsupervised Learning (Duration-4hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

SVM (Duration-2hrs)

  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane

SVM Kernal (Duration-2hrs)

  • Linear
  • Radial
  • polynomial

Other Machine Learning algorithms (Duration-10hrs)

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
Hands-on-Exercise:
  • We have covered the simplest but still very practical machine learning models in an eminently practical way to get us started on the complexity
  • where we will cover several regression techniques, it will be time to go and solve a new type of problem that we have not worked on, even if it’s possible to solve the problem with clustering methods (regression), using new mathematical tools for approximating unknown values.
  • In it, we will model past data using mathematical functions, and try to model new output based on those modeling

Artificial Intelligence

Module 1: AI Introduction (Duration-9hrs)

  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications

Deep Learning

Module 1: Deep Learning Algorithms (Duration-10hrs)

  • CNN – Convolutional Neural Network
  • RNN – Recurrent Neural Network
  • ANN – Artificial Neural Network
Hands-on-Exercise:
  • We took a very important step towards solving complex problems together by means of implementing our first neural
  • Now, the following architectures will have familiar elements, and we will be able to extrapolate the knowledge acquired on this chapter, to novel

Introduction to NLP (Duration-5hrs)

  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization

Text to Features (Feature Engineering) (Duration-5hrs)

  • Syntactical Parsing
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Named Entity Recognition
  • Topic Modelling
  • N-Grams
  • TF – IDF
  • Frequency / Density Features
  • Word Embedding’s

Tasks of NLP (Duration-2hrs)

  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
Hands-on-Exercise:
  • provided, you will even be able to create new customized
  • As our models won’t be enough to solve very complex problems, in the following chapter, our scope will expand even more, adding the important dimension of time to the set of elements included in our generalization.

Project Works

Project 1: Board Game Review Prediction

  • To perform a Linear regression
  • Analysis by predicting the average reviews in a board game

Project 2 :Credit Card Fraud Detection

  • TO focus on Anomaly Detection by using probability densities to detect credit card fraud

Project 3: Stock Market Clustering

  • Learn how to use the K-means clustering
  • To find related companies by finding correlations among stock market movements over a given time span

Project 4: Getting Started with Natural Language Processing

  • will focus on Natural Language Processing (NLP) methodology, such as tokenizing words
  • and sentences, part of speech identification and tagging, and phrase

Project 5: Obtaining Near State-of-the-Art Performance on Object Recognition

  • Using Deep Learning – In this project, will use the CIFAR-10 object recognition dataset as a
  • benchmark to implement a recently published deep neural

Project 6: Image Super Resolution with the SRCNN – Learn how to implement & use

  • Tensorflow version of the Super Resolution Convolutional Neural Network (SRCNN) for
  • improving image

Project 7: Natural Language Processing: Text Classification

  • an advanced approach to Natural Language Processing by solving a text classification task
  • using multiple classification

Project 8: K-Means Clustering For Image Analysis

  • use K-Means clustering in an unsupervised learning method to analyze and classify 28 x 28 pixel images from the MNIST

Project 9:Data Compression & Visualization Using Principal Component Analysis

  • This project will show you how to compress our Iris dataset into a 2D feature set and how to visualize it through a normal x-y plot using k-means clustering

Tableau

Module 1: Tableau Course Material (Duration – 5 Hours)

  • Start Page
  • Show Me
  • Connecting to Excel Files
  • Connecting to Text Files
  • Connect to Microsoft SQL Server
  • Connecting to Microsoft Analysis Services
  • Creating and Removing Hierarchies
  • Bins
  • Joining Tables
  • Data Blending

Module 2: Learn Tableau Basic Reports (Duration – 5 Hours)

  • arameters
  • Grouping Example 1
  • Grouping Example 2
  • Edit Groups
  • Set
  • Combined Sets
  • Creating a First Report
  • Data Labels
  • Create Folders
  • Sorting Data
  • Add Totals, Subtotals and Grand Totals to Report

Hands-on-Exercise:

  • Install Tableau Desktop
  • Connect Tableau to various Datasets: Excel and CSV files

Module 3: Learn Tableau Charts (Duration – 4 Hours)

  • Area Chart
  • Bar Chart
  • Box Plot
  • Bubble Chart
  • Bump Chart
  • Bullet Graph
  • Circle Views
  • Dual Combination Chart
  • Dual Lines Chart
  • Funnel Chart
  • Traditional Funnel Charts
  • Gantt Chart
  • Grouped Bar or Side by Side Bars Chart
  • Heatmap
  • Highlight Table
  • Histogram
  • Cumulative Histogram
  • Line Chart
  • Lollipop Chart
  • Pareto Chart
  • Pie Chart
  • Scatter Plot
  • Stacked Bar Chart
  • Text Label
  • Tree Map
  • Word Cloud
  • Waterfall Chart
Hands-on-Exercise:
  • Create and use Static Sets
  • Create and use Dynamic Sets
  • Combine Sets into more Sets
  • Use Sets as filters
  • Create Sets via Formulas
  • Control Sets with Parameters
  • Control Reference Lines with Parameters

Module 4: Learn Tableau Advanced Reports (Duration – 6 Hours)

  • Dual Axis Reports
  • Blended Axis
  • Individual Axis
  • Add Reference Lines
  • Reference Bands
  • Reference Distributions
  • Basic Maps
  • Symbol Map
  • Use Google Maps
  • Mapbox Maps as a Background Map
  • WMS Server Map as a Background Map
Hands-on-Exercise:
  • Create Barcharts
  • Create Area Charts
  • Create Maps
  • Create Interactive Dashboards
  • Create Storylines
  • Understand Types of Joins and how they work
  • Work with Data Blending in Tableau
  • Create Table Calculations
  • Work with Parameters
  • Create Dual Axis Charts
  • Create Calculated Fields

Module 5: Learn Tableau Calculations & Filters (Duration – 6 Hours)

  • Calculated Fields
  • Basic Approach to Calculate Rank
  • Advanced Approach to Calculate Ra
  • Calculating Running Total
  • Filters Introduction
  • Quick Filters
  • Filters on Dimensions
  • Conditional Filters
  • Top and Bottom Filters
  • Filters on Measures
  • Context Filters
  • Slicing Fliters
  • Data Source Filters
  • Extract Filters
Hands-on-Exercise:
  • Creating Data Extracts in Tableau
  • Understand Aggregation, Granularity, and Level of Detail
  • Adding Filters and Quick Filters

Module 6: Learn Tableau Dashboards (Duration – 4 Hours)

  • Create a Dashboard
  • Format Dashboard Layout
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story

Module 7: Server (Duration – 5 Hours)

  • Tableau online.
  • Overview of Tableau
  • Publishing Tableau objects and scheduling/subscription.
Hands-on-Exercise:
  • Create Data Hierarchies
  • Adding Actions to Dashboards (filters & highlighting)
  • Assigning Geographical Roles to Data Elements
  • Advanced Data Preparation

Oracle Database

Introduction to Oracle Database

  • List the features of Oracle Database 11g
  • Discuss the basic design, theoretical, and physical aspects of a relational database
  • Categorize the different types of SQL statements
  • Describe the data set used by the course
  • Log on to the database using SQL Developer environment
  • Save queries to files and use script files in SQL Developer
Hands-on-Exercise:
  • Prepare your environment
  • Work with Oracle database tools
  • Understand and work with language features

Retrieve Data using the SQL SELECT Statement

  • List the capabilities of SQL SELECT statements
  • Generate a report of data from the output of a basic SELECT statement
  • Select All Columns
  • Select Specific Columns
  • Use Column Heading Defaults
  • Use Arithmetic Operators
  • Understand Operator Precedence
  • Learn the DESCRIBE command to display the table structure
Hands-on-Exercise
  • Individual statements in SQL scripts are commonly terminated by a line break (or carriage return) and a forward slash on the next line, instead of a semicolon.
  • You can create a SELECT statement, terminate it with a line break, include a forward slash to execute the statement, and save it in a script file.

Learn to Restrict and Sort Data

  • Write queries that contain a WHERE clause to limit the output retrieved
  • List the comparison operators and logical operators that are used in a WHERE clause
  • Describe the rules of precedence for comparison and logical operators
  • Use character string literals in the WHERE clause
  • Write queries that contain an ORDER BY clause to sort the output of a SELECT statement
  • Sort output in descending and ascending order
Hands-on-Exercise:
  • Creating the queries in a compound query must return the same number of columns.
  • Create corresponding columns in each query must be of compatible data types.
  • ORDER BY; it is, however, permissible to place a single ORDER BY clause at the end of the compound query

Usage of Single-Row Functions to Customize Output

  • Describe the differences between single row and multiple row functions
  • Manipulate strings with character function in the SELECT and WHERE clauses
  • Manipulate numbers with the ROUND, TRUNC, and MOD functions
  • Perform arithmetic with date data
  • Manipulate dates with the DATE functions
Hands-on-Exercise:
  • Create the distinction is made between single- row functions, which execute once for each
  • row in a dataset, and multiple-row functions, which execute once for all the rows in a data- set.

Invoke Conversion Functions and Conditional Expressions

  • Describe implicit and explicit data type conversion
  • Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
  • Nest multiple functions
  • Apply the NVL, NULLIF, and COALESCE functions to data
  • Use conditional IF THEN ELSE logic in a SELECT
Hands-on-Exercise:
  • we create and discuss the NVL function, which provides a mechanism to convert null values into more arithmetic-friendly data values.

Aggregate Data Using the Group Functions

  • Use the aggregation functions in SELECT statements to produce meaningful reports
  • Divide the data into groups by using the GROUP BY clause
  • Exclude groups of date by using the HAVING clause
Hands-on-Exercise:
  • Group functions operate on aggregated data and return a single result per group.
  • These groups usually consist of zero or more rows of data.

Display Data from Multiple Tables Using Joins

  • Write SELECT statements to access data from more than one table
  • View data that generally does not meet a join condition by using outer joins
  • Join a table by using a self-join

Use Subqueries to Solve Queries

  • Describe the types of problem that subqueries can solve
  • Define sub-queries
  • List the types of sub-queries
Hands-on-Exercise:
  • Write a query that uses subqueries in the column projection list.
  • Write single-row and multiple-row subqueries

The SET Operators

  • Describe the SET operators
  • Use a SET operator to combine multiple queries into a single query
  • Control the order of rows returned
Hands-on-exercise:
  • Create The queries in the compound query must return the same number of columns.
  • creating The corresponding columns must be of compatible data type.
  • creating The set operators have equal precedence and will be applied in the order they are specified.

Data Manipulation Statements

  • Describe each DML statement
  • Insert rows into a table
  • Change rows in a table by the UPDATE statement
  • Delete rows from a table with the DELETE statement
  • Save and discard changes with the COMMIT and ROLLBACK statements
  • Explain read consistency
Hands-on-exercise:
  • Expressions and create expose a vista of data manipulation possibilities through the interaction of arithmetic and character operators with column or literal data, or a combination of the two.

Use of DDL Statements to Create and Manage Tables

  • Categorize the main database objects
  • Review the table structure
  • List the data types available for columns
  • Create a simple table
  • Decipher how constraints can be created at table creation
  • Describe how schema objects work

Other Schema Objects

  • Create a simple and complex view
  • Retrieve data from views
  • Create, maintain, and use sequences
  • Create and maintain indexes
  • Create private and public synonyms

Control User Access

  • Differentiate system privileges from object privileges
  • Create Users
  • Grant System Privileges
  • Create and Grant Privileges to a Role
  • Change Your Password
  • Grant Object Privileges
  • How to pass on privileges?
  • Revoke Object Privileges
Hands-on-exercise:
  • create users and execute the

Management of Schema Objects

  • Add, Modify and Drop a Column
  • Add, Drop and Defer a Constraint
  • How to enable and Disable a Constraint?
  • Create and Remove Indexes
  • Create a Function-Based Index
  • Perform Flashback Operations
  • Create an External Table by Using ORACLE_LOADER and by Using ORACLE_DATAPUMP
  • Query External Tables
Hands-on-exercise:
  • Create the function based index and types.

Manage Objects with Data Dictionary Views

  • Explain the data dictionary
  • Use the Dictionary Views
  • USER_OBJECTS and ALL_OBJECTS Views
  • Table and Column Information
  • Query the dictionary views for constraint information
  • Query the dictionary views for view, sequence, index, and synonym information
  • Add a comment to a table
  • Query the dictionary views for comment information

Manipulate Large Data Sets

  • Use Subqueries to Manipulate Data
  • Retrieve Data Using a Subquery as Source
  • Insert Using a Subquery as a Target
  • Usage of the WITH CHECK OPTION Keyword on DML Statements
  • List the types of Multitable INSERT Statements
  • Use Multitable INSERT Statements
  • Merge rows in a table
  • Track Changes in Data over a period of time

Data Management in Different Time Zones

  • Time Zones
  • CURRENT_DATE, CURRENT_TIMESTAMP, and LOCALTIMESTAMP
  • Compare Date and Time in a Session’s Time Zone
  • DBTIMEZONE and SESSIONTIMEZONE
  • Difference between DATE and TIMESTAMP
  • INTERVAL Data Types
  • Use EXTRACT, TZ_OFFSET, and FROM_TZ
  • Invoke TO_TIMESTAMP, TO_YMINTERVAL and TO_DSINTERVAL

Retrieve Data Using Sub-queries

  • Multiple-Column Subqueries
  • Pairwise and Non Pairwise Comparison
  • Scalar Subquery Expressions
  • Solve problems with Correlated Subqueries
  • Update and Delete Rows Using Correlated Subqueries
  • The EXISTS and NOT EXISTS operators
  • Invoke the WITH clause
  • The Recursive WITH clause

Regular Expression Support

  • Use the Regular Expressions Functions and Conditions in SQL
  • Use Meta Characters with Regular Expressions
  • Perform a Basic Search using the REGEXP_LIKE function
  • Find patterns using the REGEXP_INSTR function
  • Extract Substrings using the REGEXP_SUBSTR function
  • Replace Patterns Using the REGEXP_REPLACE function
  • Usage of Sub-Expressions with Regular Expression Support
  • Implement the REGEXP_COUNT function
Hands-on-exercise:
  • Expressions and create the regular columns may be aliased using the AS keyword or by leaving a space between the column or expression and the alias. In this way, both wildcard symbols can be used as either specialized or regular characters in different segments of the same character string.

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Upcoming Batch Schedule for Data Science Training in Chennai

Besant Technologies provides flexible timings to all our students. Here are the Data Science Training Classes in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

  • 29-11-2021 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 02-12-2021 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 04-12-2021Sat (Sat - Sun)Weekend Batch11:00 AM (IST) (Class 3Hrs) / Per SessionGet Fees
Data Science Training in Chennai

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Trainer Profile of Data Science Training in Chennai

Trainer Profile of Data Science Course in Chennai

We choose the best trainers for you. The best thing about taking Data Science Training in Chennai at Besant Technologies is certainly the trainers here. They are the best you can avail of and will take care of all your academic needs. The best thing about the approach with which they impart training to the candidates is that its student-centric. That means the training imparted to you is based on your needs, demands and comfort level. The teachers do their best to make sure their knowledge and wisdom in the field of data science get effortlessly passed on to you. They don’t just have immense theoretical knowledge but also a lot of practical experience to enrich you with.

  • Our trainers are industry data experts who work in Data Science.
  • Most of our trainers work in companies and have considerable work experience in Data science field.
  • Our trainers are flexible and are available based on your timings
  • Our trainers have good experience in training and are good at demonstrating the solution for real-world data science problems.

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Data Science Training in Chennai

Data Science Exams & Certification

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

Data Science Training in Chennai

Data Science Certification

Having a certificate for Data science will increase your placement chances in top companies. Candidates possessing data science certificates stand out from the crowd and have a greater probability of achieving their dream careers. There are many standard industry recognizable data scientist certification programs.

Who provides Data Science Certification?

Besant technologies provide the certificate for Data Science. It helps the candidates to prove their skills with industry standards.

Which Certification is Best for Data Science?

Besant Technologies is a reputed institute that has trained over 10000 plus students. Besant technologies’ certificate for Data science will help you to kickstart your career as a data scientist and will help you to land in data science job. Besant Technologies certification will help you to gain real-time hands-on experience from industry guru’s.

How long does it take to complete Data Science course?

The duration differs for weekday and weekend batches. For weekday batches, the estimate duration is between one to two months. For weekend batches, the estimate duration is about two months. For fee details, Kindly contact us.

How many attempts do I have to pass the Data Science course exam?

You can take the Exam until you pass it. there are no limited attempts.

If I fail Data Science exam, how, soon can I retake it?

We conduct exams and provide certificates And if one fails, the exam can be retaken immediately.

Advantages of Data Science Certification Courses in Chennai

There is no industry these days, that doesn’t deal with data. To be honest, data is everywhere. And to extract meanings out of so much of the data available at hand, you need data science knowledge. But where to get this knowledge from? Well, there is no dearth of Data Science Certification Courses these days. All you need is to select one as per your need and convenience and you are good to go. With a certification course in data science, you can make yourself eligible for any data science job available in the job market. This certification acts as a testimony to your knowledge of data science.

Group Discount

If you have Three or more people in your training we will be delighted to offer you a group discount.

Key Features of Data Science Training in Chennai

30+ Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 800+ Batches

Certification Guidance

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Projects of Data Science Training in Chennai

Our Live data science projects are designed based on the industry-related problems and simulate the working experience of data science fields.

What are the System Requirements to attend Data Science Training?

We will help you set up the software requirements in your personal laptops. Our trainers will guide you in setting up all the software requirements. It is highly recommended to carry your personal laptops in case of classroom training.

How will I execute practical exercises during Data Science training?

After setting up the software requirements, you can execute all classroom and hands-on labs in your personal laptop. We will give you practical assignments to do during class and at home. All exercises and course notes will be shared in softcopy only.

We will provide complete support for you to finish all your assignments. These assignments are designed based on industry problems and simulate the working experience in the relevant field.

What projects will I complete as part of the course?

Projects are live and are more closely related to real-time problems which help you to grasp the syllabus easily. Our projects will help you to have a deeper understanding of the subject. [/accordion_toggle][/accordion]

Training Courses Reviews

I was a junior data scientist. It was my sheer interest in data science that compelled me to take up the data science training in Chennai at Besant Technologies. Since I already had a little knowledge of the subject, it was not really extremely difficult for me to have a grip on the course. But the training was imparted by the experienced teachers of Besant so effectively that even those fellow candidates who had no background in data science showed progress pretty fast. I benefitted a lot from this data science course in Chennai, and I can confidently say that I have developed a lot of understanding of the subject of data science through this training.

R

Ram Kumar

I always wanted to do something in the field of data science/Analytics. But I was not being able to find out a good training center. Then an ex Besant Technologies student told me about this institute. Besant Technologies has trained me so well in data science training in Chennai that I was reined in by the first company that interviewed me. I feel confident and blessed today. All thanks to Besant Technologies!

K

Karunakaran

I never thought I could be a part of the IT world, given that I was not from a science background. Thankfully, Besant Technologies doesn’t need you to have any special educational background. The faculty members here taught us data science training in Chennai concepts so well, that never for a moment I felt I was no way related to technology. Now, I have joined an IT MNC. And working in a good position.

R

Raja

I am an ex Besant Technologies student. Although I liked everything about the coaching center, I especially loved the way the data science training in Chennai trainers imparts the course lessons. They not just emphasize theories but also practical. With regular practical training, I have learned a lot about the subject and its applicability. This has immensely helped in my job.

G

Ganga

Being able to find a good data science institute from the crowd is indeed challenging. It took me a lot of time to zero in on one particular organization for data science training in Chennai. But then I am glad I chose Besant Technologies. It has a big contribution to whatever I have achieved in life.

J

Jeyanthi

I am inclined towards IT. And that is why I wanted to take data science training in Chennai from a good coaching center. When my friend told me about Besant, I did give it a second thought. But after some calculation, I went ahead and joined it. I feel thankful for myself that I did that. There is perhaps an institute that focuses so much on individual trainers’ learning and progress. Besant Technologies does, and that’s why it is different!

M

Meena

Student's Testimonials

Frequently Asked Questions

FAQs for Data Science Certification and Training

Why should I enroll with Besant Technologies for a Data Science Certification Training in Chennai?

Besant Technologies has more than 120K students and 20+ branches. It is one of India’s largest and most well-known IT training centers. In the last year, more than 2500 Besant students were placed. Besant Technologies is a place where you can learn from the best. We are always striving to be the best source of learning for those who seek knowledge.

Which Data Science certifications can I appear for?

There are certain certifications that require you to appear for their respective exams in person. All others can be taken online. Hence, if you want to take a certification test remotely, there are numerous options that you can choose from.

Do I need prior data knowledge for Data Science Certification Training in Chennai?

You don’t need to have any Data Science knowledge in order to register for our Data Science training course. All the topics related to Data Science are thoroughly covered by us. Hence, this course is suitable for both beginners and professionals. Our course has been designed to be easy for both techies and newcomers.

What job roles can I take up after I complete the course?

Certain important job roles that Data Science certified professionals can take up include:-

  • Data Scientist.
  • Data Analyst.
  • Data Engineer.
  • Data Architect.
  • Database Administrator.
  • Business Intelligence Developer.
  • Machine Learning Engineer.
  • Machine Learning Scientist.

Is there any separate Data Science certification cost?

No, Besant charges no separate Data Science certification cost. The course fee that you pay has this cost included in it.

How often is Besant Technologies’ Data Science course updated?

Our Data Science certification course content is routinely updated to incorporate all latest changes in the field of Data Science.

How should I prepare for a career in Data Science?

It is important to attend classes regularly and pay attention during the lectures. Practice what you have learned. At Besant, you learn from real-world examples. So here, you learn the best from the best. However, you need to understand that the real experience and learning come from the jobs you do. So, allow Besant Technologies to help you land your first job. Register with us to take a Data Science course and get ready for your first job.

I have no knowledge in programming. Will it hamper my career in any way?

You need no coding knowledge to enroll for our course. However, Data Science is a popular IT career choice and working in this industry requires strong coding skills. Data Scientists employ artificial intelligence (or machine learning) algorithms to identify patterns in large data sets. So, coding knowledge is a must. Thankfully, we can help you master this skill.

Who can benefit the most from this course?

Although anyone can enroll for Besant’s Data Science course in Chennai, the following should definitely take this course and reap its benefits:-
Beginners with genuine interest in the field
You can start your journey immediately if you are a true Data Science enthusiast. Although knowledge in mathematics, programming and statistics will be a big bonus, there is no such prerequisite to enroll for our course.
An Engineer in Computer Science
You can easily shift from computer science engineering to Data Science. When you decide that you don’t want to manage the software development projects, network systems or software cycles anymore, Data Science would be your most logical job shift.
Junior data executive/business executive/Data Analyst
Perhaps you are already working in the field of Data Science but haven’t managed to scale great heights. In that case you need to improve your skills with our Data Science training to get better roles or projects.
Those who want to clear Data Science certification exams
Our course is comprehensive in nature and can prepare you in such a way that you will feel confident enough to clear any Data Science certification exam in the first attempt itself.
Those who want validation for their existing Data Science skills
Maybe you already know a lot in the field of Data Science, but without proper certification to validate your Data Science skills, you won’t appeal to employers. Besant helps you get noticed by employers and head hunters by certifying your skills.

How to choose an institute for the Best Data Science Training in Chennai?

There are many IT training institutions in Chennai that offer training in Data Science courses. So, it can be difficult to choose the right one. If you aren’t willing to take chances and want to have a positive experience in training, look for an institution with a strong track record. Learn about how many students they have taught and what their experiences were like at the institute. A good institute should be able to provide hands-on training for its students. It should also be a registered coaching center that issues course completion certificates to students upon successful completion of the courses pursued by them.

What are the prerequisites for taking a Data Science certification exam?

There are numerous different Data Science certification exams that you can apply for. While some don’t have any specific prerequisite, others have. Exams like CAP need you to have work experience in the field of Data Science along with a bachelor’s degree as the minimum educational qualification.

Are there Data Science job opportunities available for freshers?

Thankfully, it is possible for you to get a job as a Data Scientist or a Data Analyst even if you are a fresher. It would, however, be easier to become a Data Analyst than a Data Scientist at the beginning phase of your career, as the former requires more experience and sophistication. So, you can always choose to be a Data Analyst as a step towards becoming a Data Scientist.

But then you need to be familiar with a few things in order to secure either of the jobs. First, you must have a solid skill set. You will need to know SQL, Excel, Python and at least one data visualization tool. Some employers prefer Python over R, and some prefer R to Python. Nevertheless, most demand expertise in both. It is better to be able to use both R and Python if you are unsure of the type of domain you wish to work in in the future.

The projects you have worked on, and the internships you have had can also increase your chances of getting hired as a fresher. These two aspects show the skills and drive of the individual.

Additional FAQs for Data Science Certification and Training

Why is Data Science so popular?

Businesses have hugely benefited from the mathematical and statistical foundations that underpin Data Science. Although Data Science is now being used in an industrial setting, this has only happened recently. Nonetheless, these trends have led to an increase in interest in Data Science and the many possibilities it offers.
Here is what makes Data Science such an in-demand specialization:-

  • Big data and IOT—Digital transformations in business processes have led to the creation of huge amounts of customer data. This data is gathered from many sources and presented in an unstructured manner. Businesses can be faced with multiple problems due to this. This can make it very difficult for IT departments to manage the large amount of data. This is where Data Science proves helpful.
  • AI is now everywhere—AI and ML have become commonplace concepts. The exponential increase in data volume, variety, and speed means that it is difficult to recognize data patterns. This is a problem that humans cannot handle with statistical knowledge alone. Artificial Intelligence (AI) and Machine Learning are now the best tools to classify, analyze and forecast data.
  • There are tools available that can handle data tasks that otherwise look impossible—Data Science requires high computer performance. Thankfully, we have high-performance, extremely efficient computers that are well-suited for Data Science tasks. These computers can process very complex algorithms and deliver fast results even for extremely difficult challenges.
  • Cloud storage availability—Cloud is a comparatively new method of data storage. Hence, cloud may be considered another enabler of Data Science. It allows you to store all types of data at an affordable price. Companies can store petabytes worth of data today, thanks to both cloud and local storage.

What benefits can a company reap from Data Science ?

Data Science can help a company gain many business and financial benefits based on its short- and long-term goals.

An example would be an energy supplier optimizing their smart grid based upon real-time energy usage to reduce its energy consumption. Retailers too can use Data Science to predict sales and tailor product ranges accordingly. Even car manufacturers use Data Science to gather driving data and create systems using ML/AI. Also, it used by industrial producers to reduce their costs and increase the uptime of their plants.

Data Science also impacts the following company processes:

  • Forecasts of key business figures.
  • Optimization of supply and purchase.
  • The understanding and fulfillment of customer requirements.
  • Satisfaction of employees.

Does the future of Data Science look promising?

Earlier, statisticians had to manually create their predictive models and then adjust them repeatedly. This became difficult due to the increasing amount of data and more complex business problems. Data Science helped immensely in this regard.

Data Science is rapidly growing and involving automation. There is simply no sign of its slowing down. So, Data Science will be around for a long time considering the current data trends.

How should I prepare for Data Science interviews?

Besant’s course curriculum covers all aspects, from the basics to the more advanced. If you take your classes seriously, it won’t be difficult for you to pass any interview test. However, if you want to broaden your learning horizons, you can read blogs and watch videos online that relate to your area of specialization. That will only add to your knowledge base.

Which are the top companies to work for as a Data Science professional?

The top companies to work for as a Data Science expert are

  • Oracle
  • Amazon
  • JP Morgan Chase
  • Teradata
  • Accenture

Other good companies to work for are Wipro, Siemens Healthiness India, HDFC Ltd, Aditya Birla GDNA Cell, Larsen & Toubro Infotech etc.

All of these companies offer the right platforms and initiatives to help their employees grow.

Why should I do a Data Science Course in Chennai or why a career in Data Science could be important for me?

There is a huge demand for Data Scientists all over the world. Viewing Data Science from a growth perspective, you can become an integral part of any company and make your career a success. Just take the leap into the field of Data Science and see your career grow.

Here are a few reasons to become a Data Scientist:

  • Starting from communication, coding and predictive modeling to data visualization and analytics— you learn a lot of skills.
  • The working opportunities in the field of Data Science are diverse.
  • This domain is witnessing a rapid growth.
  • No matter what role you shoulder, it is going to be challenging and interesting.
  • There is a huge crunch of Data Scientists all over the world. Meaning, your chances of being reined in by reputed companies is higher.
  • Attractive financial packages.

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Besant Technologies Data Science Training in Chennai View 9 Locations Nearby

Velachery

No.8, 11th Main road, Vijaya nagar,
Velachery, Chennai – 600 042
Tamil Nadu, India.

Landmark: Reliance Digital Showroom Opposite Street
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Tambaram

1st Floor, No.2A Duraisami Reddy Street,
West Tambaram, Chennai – 600 045
Tamil Nadu,India.

Landmark:Near By Passport Seva
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OMR

No. 5/318, 2nd Floor, Sri Sowdeswari Nagar,
OMR, Okkiyam Thoraipakkam, Chennai – 600 097
Tamil Nadu, India.

Landmark:Behind Okkiyampet Bus Stop
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Porur

No. 180/84, 1st Floor, Karnataka Bank Building,
Trunk Road, Porur, Chennai – 600 116
Tamil Nadu, India

Landmark: Oppsite to Gopalakrishna Theatre
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Anna Nagar

No:1371, 28th street kambar colony,
I Block, Anna Nagar, Chennai – 600 040
Tamil Nadu, India

Landmark: Behind Reliance Fresh
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T.Nagar

Old No:146/2- New No: 48, Habibullah Road,
T.Nagar, Chennai – 600 017
Tamil Nadu, India

Landmark:Opposite to SGS Shaba
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Thiruvanmiyur

22/67, 1st Floor, North Mada street,
Near Valmiki Street, Thiruvanmiyur,
Chennai 600 041 Tamil Nadu, India

Landmark: Above Thiruvanmiyur ICICI Bank
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Maraimalai Nagar

No.37, 1st Floor, Thiruvalluvar Salai,
Maraimalai Nagar, Chennai 603 209,
Tamil Nadu, India

Landmark: Near to Maraimalai Nagar Arch
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Siruseri

No. 4/76, Ambedkar Street, OMR Road,
Egatoor, Navallur, Siruseri, Chennai 600 130
Tamil Nadu, India

Landmark:Near Navallur Toll Gate
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Related Courses

Additional Info of Data Science Training in Chennai

Besant Technologies Provides Best Data Science Training in Chennai– Velachery, Tambaram, OMR, Porur, Anna Nagar, T-Nagar, Adyar, Thiruvanmiyur, Siruseri and Maraimalai Nagar. We train the students from the basic level to advanced concepts with a real-time environment. We offer Best Data Science Courses in Chennai with 100% Placement Assistance. We rated as the No 1 Training Institute for Data Science/Analytics Courses with Python, R, SAS, and Excel.

From this Data Science Training, you will get real-time exposure in statistics, Machine Learning, Deep Learning, Tensorflow, Artificial intelligence, and machine learning algorithm Concepts. This course includes concepts from statistics, computer science, & software engineering. We learn the necessary skills to manage & analyze data. We learn concepts such as exploratory data analysis, statistical inference, machine learning, & high dimensional data analysis.

What are objective of our Data science training?

We, at Besant Technologies, provide the best training for the Data Science course. We have designed the course in such a way that helps to kickstart your career into the data science field and to take up different roles such as Data Scientist, Data Engineer, Data analyst and so on.

We design the syllabus as per the latest industry standards.

  • Our trainers provide real-time training with live projects which will help you to have a deeper understanding of the subject.
  • We provide the training in various modes such as online, classroom on both weekday and weekend batches.
  • Our training schedule is very flexible to suit your available timings.
  • Our Data science course will help you to crack-related interviews in top MNCs since our trainers will guide you throughout the process by sharing their real-time experience in relevant fields.

Why Should you go for Data Science Training?

  • Data Science has become the “buzzword” of the decade. Harward business review has called it the “hottest job of the 21st century”. Data Scientist and Data architects are one of the highest-paid roles nowadays. According to LinkedIn, Data Scientist is one of the most promising jobs in 2018.
  • According to UNECE statistics, Global data growth has increased from 5 ZB(ZettaBytes) in 2014 to 40 ZB in 2020. It is evident that Global data has been increasing at an enormous rate. Hence, Data science is the future.
  • Those who are passionate about working with cutting edge technologies should really consider a career in Data Science.

Who should go for Data Science Training?

  • Candidates having some database experience can move to Data Science.
  • Top MNCs look for professionals with Data Science experience for various Data Science roles such as Data Engineer, Data Scientist, Data analyst, etc.
  • This training is suitable for software professionals preferably from programming and database background.
  • A lot of professionals have migrated from their current developer role to the Data Science field.
  • Anyone who wants to explore data patterns and has a passion for data analytics can come out with flying colors.

How will Data Science Training help your Career?

  • Since top companies don’t usually prefer freshers for these roles, experience in real-time Data science projects will be an added advantage.
  • Our training is focused on covering all basic syllabus related to Data Science along with real-time Lab exercises. Our live projects will help you to understand the subject in an extensive way and prepare you to face interviews with top companies for Data science roles.
  • Our trainers will share with you their experience and guide you to solve real-time problems. Either Online or classroom training is mandatory to start a career in Data Science.

what are prerequisites for Data Science Training?

  • Good Programming skills in at least one programming language. Knowing Python or R language will be helpful
  • Database skills. Eg: SQL.
  • Good analytical and mathematical skills.
  • Good Programming skills in at least one programming language. Knowing Python or R language will be helpful
  • Database skills. Eg: SQL.
  • Good analytical and mathematical skills.

What Skills will you learn in Data Science Training?

Companies prefer people with relevant experience to fill their Data science-related positions. The two common languages used are Python and R along with SQL.

The following are the skills that are associated with data science.

  • Programming knowledge in languages such as Python, R, Java, etc.
  • Data skills: Database background will really be helpful. Having worked extensively with databases such as Mysql, MSSQL, Postgre, MongoDB, Oracle, NoSQL, etc will be an added advantage.
  • Descriptive Statistics: To gather data and to analyze sample data and summarize it.
  • Data visualization: To help view the data using visual representations like graphs, plots and help understand the correlation, time series, ranking, deviation, and geographical differences.
  • Statistical modeling: The idea of generating sample data based on given large data.
  • Big data: Dealing with complex and very large data sets. Spark, Hive, MongoDB, Amazon Redshift, Apache Kafka have become the common choice for big data platforms.
  • Machine learning algorithms: The statistical modeling and algorithms that make predictions based on data.

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Prerequisites to Learn Data Science course in Chennai

Over the years, data science has become an essential part of every business. It solves many problems within a given field through data analysis and interpretation of various data. There are few online resources stating that the candidate needs to be skilled in database query languages, software development, mathematics, programming visualization station, statics the etc as a basic requirement to become a data scientist.

This might discourage the beginners, who enter dreaming of becoming a Data Scientist. There are few institutes like Besant technologies that offer specialized programs, tailored to the educational requirements to pursue a career in data science. However, the skills aren’t mandatory for a beginner, as there are many MOOCs that will help one to learn those required skills. Also, many senior data scientists have mentioned that Data Scientist is a blanket job with varied types of data and skills. These skills need to be developed over time in order to match the available data science job.Though there is too much confusion, still the questions might vary from every person based on their individual needs and qualification. To get clarity on this, here is the answer to a set of few questions with the both technical and non-technical disciplines that arise with the candidate.

Technical skills

  • Ph.D. or Masters a necessary
  • Math or Statistics compulsory
  • Hard-core programmer
  • SQL and Hadoop skills
  • Data science degree
  • Machine learning concepts

Is Master’s or Ph.D. is necessary?

A Masters degree or a Ph.D. in data science is required for professionals who need to place themselves in the top positions with some good years of experience. But it is not required for a beginner and also there is a number of possible ways available today to learn data science for working professionals even which are flexible yet valuable. The real Data science experience is gained by the real time experience gained in addition to the course. But still, expertise with a Ph.D. can always prove with their knowledge and be in the top positions. This scenario is very true with Google, as they recruit only the Ph.D. or Masters degree holders for Data scientist positions.

Is a degree in Math or Statistics is needed?

People from diverse backgrounds like economics, operations research, statistics, computer science, mathematics etc are practicing as the data scientist. This is because, being familiar with the basic concepts of statistics and maths with linear algebra, probability, calculus etc is essential to understand data science.

Programming skills are needed or not?

Programming and well versed with its terms is the basic requirement of a data scientist. Having a basic knowledge and programming skills of C, C++ or Java is required, as this will help in understanding the programming tools like R ad Python. Writing efficient code and analyze big data with those codes is all about data science. Though expertise programming skill is not required the basic knowledge is mandatory.

Are SQL and Hadoop necessary?

SQL language fundamentals in creating indexes, group by, joins etc is necessary to understand data science. Also, the basic SQL knowledge will help in understanding the hadoop cluster. The emerging technologies like MapReduce, Hive, and Pig etc will be easy for SQL and HADOOP programmers to learn.

What is the Educational Qualification for Data Science?

Though a data science degree is not required, it will help in better understanding the concepts. Today, technology is helping us to learn all these courses through MOOC from wherever we are. But still learning these courses will not be helpful in learning the soft skills and managing skills required for data scientist job.

Is Necessary to know Machine Learning?

Machine learning, is an integral part of data science, can be learned during the intermediate or advanced levels. But if you are skilled with machine learning, then you are half the way in your expert skills.

Data Science Course in Chennai

Although there are many IT training institutes in Chennai, you cannot take a data science course from any random institute. For desired results, you need to enroll yourself with Besant Technologies, the best institute offering Data Science training in Chennai. Besant Technologies offers Best Data Science Training Courses in Velachery, Tambaram, OMR, Porur, Anna Nagar, T-Nagar, Adyar and Thiruvanmiyur in Chennai. We teach students everything that is important- starting from basic to advanced concepts, that too in a real-time environment.

Data Science with Python Training in Chennai

We teach you how to make use of python to look at the world of data visualization. With this knowledge, you will be able to craft your own amazing visualizations on the basis of real data. Python, being a powerful tool for statistical analysis, helps you with easy handling of data. With great readability and productivity, python does change the way you deal with data. For repeated tasks and data manipulation, there is nothing that can beat the efficiency of python in the matter of data science. Hence, if you are looking for Data Science with Python Training in Chennai, we are who you should contact without doubts and apprehensions.

Data Science With R Training in Chennai

R is an open source framework that traditionally used to be a major help in the fields of research and academics. Its applicability has, however, grown over time. And today, we can find its use in many fields other than the two mentioned above. There are good options in R for parallel computations. And it actually has amazing data handling capabilities. Although there are many applications of R, its best for exploring data sets and ad hoc analysis. An important benefit of handling data with R is that the latter’s library of statistical packages is huge. Starting from finance and genetics to psychometrics, R packages almost cover everything.

Data Science training with Advanced SAS: Macros & SQL

Advanced SAS that covers both Macros and SQL has huge varieties of statistical functions. Although there are many tools that help with data science, SAS has special significance not just in the field of data science but also advanced analytics. Throughout its rule in the market, it has been superbly adaptable and plastic. Reading data from all kinds of databases is possible with SAS. Tasks like processing of data on the RAM get easily pulled off by SAS. The probability of distribution of data and complex simulations have always been easy with SAS. You will be glad to know that we, at Besant, teach all the nitty-gritty involved in using SAS Advanced: Macros and SQL in the field of data science.

Data Science course in Chennai with Excel Macro

Data strategies have become all-pervasive. Starting from institutional sectors to business, almost everywhere you will find the requirement of data handling. You can consider excel to be a bridge software that helps non-data scientists to do data-related work. To acquire data-centric skills and projects, learning Excel macros is a must. Excel offers a lot of statistical functions. The modeling and data analytics capabilities of Excel are also worth taking note of. Handling real-time data with Excel is a breeze. Data validation is also something you can do with ease with excel. Hence, Excel can be a great armor in your arsenal for data science.

Introduction to Data Science

This first stops in the Data Science curriculum. It will help you get started with the program, plan your learning schedule, & connect with fellow students & teaching assistants. Along the way, you’ll get an introduction to working with & exploring data using a variety of visualization, analytical, & statistical techniques.

What is Data Science?

The field of data science is interdisciplinary, which encompasses a lot of areas including scientific methods, processes, systems, and algorithms. This field is deeply connected with big data and analytics. With proper training in data science, you make yourself eligible for recruitment in a lot of companies that have data handling jobs available with them. The world has been taken over by big data. And with the foothold of big data growth in the world, the need for its storage began to grow. Enterprise industries saw it as a challenge till somewhere around 2010. At that time, more emphasis was being laid on building solutions and frameworks for the storage of data. Then came frameworks like Hadoop that indeed solved the problem of data storage.

But then a new problem arose- processing of this stored data. Here comes the role of data science. In Hollywood sci-fi movies, you see a lot of seemingly unrealistic ideas. Believe it or not, all such ideas can be turned into reality with the help of data science. In another way, you can say that the future of artificial intelligence lies in data science. And that is probably the reason why data science and its courses are so much in demand. People want to learn it for lucrative IT career options. So, data science, which is a concoction of machine learning principles, algorithms, and various tools, is used to figure out concealed patterns in raw data. It is because of data science that data can be used to add value to any business. Predictive causal analytics, prescriptive analytics, and machine learning are the elements that together render data science helpful in making decisions and predictions. Here, it would be valuable to add that the future lies in the hands of data scientists. The need for data scientists that have expertise over the subject is growing with each passing day. What more? Well, data science is changing the way people look at the world flooded with data.

What is Data science in simple words?

Combination of machine learning, Deep learning & AI.

  • Data Science is the branch of science that uses the knowledge of Mathematics, Statistics, Computer Science and Business to analyze data insights and to take action based on these data. These scientific methods will help in making better decisions to solve critical business problems.
  • Any company that makes data-driven decisions is dependent on its data scientists for its future.
  • Data Scientist is someone who works with data and who has more expertise than that of a scientist, statistician, and a software engineer. Data scientists should develop statistical algorithms and deal with big data.
  • Data Engineer is someone who has a deeper understanding of data and its infrastructure and finds, transforms and cleans data.
  • Data Analyst is someone who presents solutions to a business problem by analyzing data and using visualization techniques. Data analysts use Microsoft Excel, Tableau, SAS and work with queries. They don’t deal with Big data technologies.

What skills are needed to be a Data Scientist?

  • A data scientist should be an expert in multiple skills such as Mathematics, statistics, Big Data.
  • Data scientists should have a deeper understanding of Mathematics, Statistics and should have good analytical skills to understand patterns in these data.
  • We should be able to develop machine learning algorithms that are capable of doing predictive analysis and generate sample data based on given datasets.

What is the use of Data Science?

Business Development & Analysis using Data.

Why is Data Science Important?

  • The fast increasing Global data, the advancement of technologies, the growth of AI and machine learning – All these make big companies make data-driven decisions. Hence, Big companies depend on data to make important financial decisions. Data science is applied in Finance, Insurance, Gaming to make use of their structured and unstructured data and to make rational decisions.
  • Data science has become inevitable in numerous fields and is undoubtedly the most-sought-after role nowadays.

What is the Difference between Big data & Data science?

  • It could be a bit confusing to differentiate between Big data and Data Science.
  • Data Science is the branch of science that deals with everything about data from the cleansing, preparation, analysis of data. This is applied primarily in internet searches, Fraud detection, Digital advertisements.
  • Big data refers to complex and very large data sets that are unstructured and cannot be easily handled using traditional data processing tools. It involves data storage, analysis, visualization of these data and finds the insights from them to take strategic business decisions. This is applied in Financial Services, Telecommunications, Commerce, Health and Sports.

What is a Data Scientist VS Data Analyst?

  • Data Scientist works at much a deeper level compared with the data analyst.
  • Data analyst just works with analyzing and querying data using simple tools like SQL, Excel and provides solutions to the business problems presented to them. Data Scientist deals with Big data (Unstructured data).
  • But, Data scientist creates business questions, analyses data patterns and creates a statistical model to find answers to those questions and use visualization techniques to help others understand their findings. They solve critical business problems and make companies take strategic decisions.

What is the difference between a Data Engineer & a Data Scientist?

  • Data Engineer deals with data warehouses. A data engineer is exposed to data architecture that designs, builds, works with data. A data engineer is responsible to maintain the accuracy and availability of data.
  • Data scientists, on the other hand, will develop deeper insights from the data maintained by the data engineer.

Should one be a Data Engineer or a Data Scientist?

  • Data engineers usually have a programming background whereas the data scientist comes from the mathematical background. According to Glassdoor, the number of jobs for Data engineers is 5 times more than the data scientist jobs.
  • Data engineer develops, constructs, maintains data. Data engineer works with tools such as MongoDB, Redis, Hive, SAP, other database tools.
  • Data Scientist develops insights and solves business needs. Data Scientist uses Tableau, SAS, SPSS, Rapidminer. Both of these roles use tools such as Spark, scale, etc.
  • If you have good database background and strong technical skills, go for Data Engineer role.
  • If you have good analytical skills, mathematical, statistical skills along with technical expertise, You can build your career as a Data Scientist.

Click Here to Check Latest Updated – Data Science Interview Questions and Answers

Key Features of Data Science Course in Chennai

Besant Technologies offers Data Science Training in Chennai in more than 7+ branches with 10+ years of Experienced Expert level Trainers. Here are the key features,

Why Should I Learn Data Science from Besant Technologies?
  • 35 Hours to 45 Hours Course Duration
  • Industry Expert Faculties
  • Completed 500+ Batches
  • 100% Job Oriented Training
  • Certification Guidance
  • Learning from industry experts
  • Live projects
  • Real-time problems and solutions
  • Flexibility
  • Availability
  • Connectivity with more branches
  • Exam and Certification
  • Placement assistance
  • Mock interviews
  • Frequently Asked Questions

Different Modes of Data Science Training in Chennai

Get enrolled for the most demanding skill in the world. Data Science Training in Chennai will make your career a new height. We at Besant technologies provide you with an excellent platform to learn and explore the subject from industry experts. We help students to dream high and achieve it. We have Data experts as our trainers. Our trainers have been working in top MNCs in good Data science roles and have good experience in training students. We provide training in both classroom and online modes. We do Corporate training.

If you are a business, you sure have trust in your employees. They are efficient, no doubt. But by offering them proper data science training, we will make them capable of having better insights into your company’s data. Our curriculum is comprehensive and is suitable for all kinds of employees-both from IT and non-IT backgrounds. Interestingly, our training is customizable. And we facilitate customization because we acknowledge that your company is unique and its needs are also special. With customized training to your employees, we help them improve their data science capabilities. And guess what! The training is imparted by excellent instructors, having industry experience. Don’t worry about time and place compatibility, we also offer online data science training.

Individuals

Individual training is a training that is individualized to take into consideration the differences between learners. It is most suitably used in a one-to-one situation. Not like facilitated learning where the instructor takes a more passive role, with individual learning the trainer needs to consider and cater to the needs of individual participants. It doesn’t mean that students are at home they can be in a classroom and still work through things at their own pace.

Data Science Classroom Training

Group Training

We have many branches in Chennai and Bangalore. In Bangalore, We have branches in Marathahalli, Jaya Nagar, Indira Nagar, BTM layout, Rajaji Nagar and Kalyan Nagar. Our branches are situated in places which have very good connectivity. We run our classes in small batch sizes which facilitates good interaction between trainer and students. Our trainers are attentive to students in case of doubts or questions in-classroom training.

One to One Training

We also provide one to one classroom training where students will be given full attention as the trainer’s time is fully dedicated to one student. Fast track classroom training: This is for students with time constraints. We give the best training at a fast pace while also covering the full syllabus as in normal classroom training.

Fast Track Training

Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more hours each week to learn. what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.

Data Science Online Training

Online Classroom Training

We provide online training in both one to one and batch size. This is suitable for working professionals who can grasp the subject easily but cannot travel to our branches due to time constraints.

One to One Training

One dedicated trainer for one learner, this is an excellent way of learning to understand the content in a simple way. All the Trainers are highly qualified professionals. Besant technologies are leading in 1-to-1 training, most of the learner prefers this for various benefits. Quicker learning as you get the undivided attention of the trainer. You don’t need to wait for your turn to clear your doubts. Quality of learning has an inverse relation with the number of students in a class.

Fast Track Training

Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more hours each week to learn what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.

Corporate Training

This type of training is for companies who want to train, retrain, and jointly educate employees and managers in order to grow. We love to give corporate training as we have experienced professionals who can train you at your place with excellent teaching methodologies and help to grow your company at the highest peak. We provide world-class training for corporate professionals. This is specialized and customized training based on your business requirements.

Placement Assistance after Data Science Training :

  • Our trainers help you with each and every step in your job progress.
  • Our trainers help improve your resume and help you add the necessary skills so that your resume clears the screening process.
  • The live project experience gained from the class will help you in facing interview questions. Our trainers are available for you to reach out for any doubts or queries after course completion.
  • We conduct mock interviews for you which boosts up your confidence level and prepares you for real-time interviews.

Click Here to Know About  Data Science Career Opportunities

Data Science Job Opportunities

Data Science team comprises data analyst, data scientist and data engineer, data architect, and so on. There is an increasing demand for data science roles and a big gap exists between the need and the availability. Hence, markets need more engineers in data science jobs. The industry provides the best salary for the right candidate.

The growing demand for people who are capable of mining and interpreting data is proof enough to say that there are huge career opportunities in the field of data science. And there is hardly any company that doesn’t have anything to do with data. Almost every company, irrespective of the industry in which it operates, deals with data handling. And that is why they are on a constant search for people having knowledge of data science. Starting from start-ups to big players, almost every company has a requirement for experienced people. By taking a data science course at Besant Technologies, you will be able to fill up job positions such as analytics manager, business analyst, business intelligence (BI) analyst, data analyst, data scientist, director of analytics, research analyst, research scientist, senior data analyst, statistician and the like. And to make sure you get the most lucrative jobs in the market, we offer placement assistance too.

What jobs can you get after completion of data science course?

  • You can start as a Data analyst.
  • You can also get into Data scientist or
  • Data engineer positions.
  • There are still more roles to explore in Data science field.

What exactly does a data scientist do?

Data scientist deals with big data and helps organizations take strategic business decisions in solving their critical business problems.

What is a data scientist salary?

  • Start-ups pay an average salary of about 10.8 lakhs to data scientists.
  • Salary can go as high up to 25 lakhs per annum.
  • Tier 1 companies pay the best in the industry for data scientists.

How much do entry-level data analyst make?

Data analysts start at an average of 3.5 lakhs per annum.

What are the Top Companies hiring data science Professionals?

  • Wipro,
  • Infosys,
  • Flipkart,
  • Urban Ladder,
  • Snapdeal,
  • Amazon hires for various data science roles.

Is data science a good career option?

Data science is a very good career option to step up the ladder, as it is being one of the highest-paid and niche skills of the decade. Data Science is the domain which has an evergreen future. A lot of companies invest good money in doing research and innovate in this field.

Click Here to Know About Data Science is the Backbone of the IT Industry?

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