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Besant Technologies' Data Science training in Chennai is a good option if you are looking for a Data Science Course in Chennai that keeps students up to date on the latest data science trends while also providing practical expertise.The data science course offered here is for individuals serious about pursuing a career in data science.

Enroll in a structured and approved data science course today. Data science professionals will teach students everything they need to know to succeed in the field – from fundamentals to advanced skills – and will receive a professional certificate upon completion.

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About Data Science Course

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.

What is Data Science?

Data science is an interdisciplinary approach to extracting information from structured and unstructured data. Various techniques, systems, algorithms, and scientific methodologies extract significant insights from random data. This field focuses on changing data for analysis and visualizations while also utilizing artificial intelligence to provide predictions. Data science requires artificial intelligence.

Who is a Data Scientist?

Data scientists are in high demand because we live in a data-driven world. Data scientists are a new breed of professionals who are currently in high demand. This term was formed a few years ago by data leads for the corporations LinkedIn and Facebook. Moreover, today, there is a massive influx of data scientist nerds working in many industries. This demand arose from an unexpected need for brains who could wrangle data and aid in discovering new information, allowing corporations to make data-driven decisions.

Data Science Training in Chennai

Data Science Course Is Soaring Heights

As the world evolves following the latest trends and technology, so do the career opportunities after data science courses.
Here are a few job openings in India for Data Science certification course graduates.
(1). Data Scientist – According to LinkedIn , the average salary for a data scientist is $850,000. With five to eight years of experience, a mid-level data scientist can earn around $100,000 per year. Early-career data scientists with one to two years of experience earn approximately $6,11,000 per year. The data scientist course is the most popular today.
(2). Machine Learning Engineer – According to Glassdoor’s most recent data, the average income of a Machine Learning Engineer in India is $8,06,895. The salary for a Senior Machine Learning Engineer might be up to 13L per year.
(3). Data Mining Engineer – According to Glassdoor , the average compensation for a Data Mining Engineer in India is 61,544 per month.
(4). Data Architect – According to Ambition Box , the average income for a Data Architect in India ranges from 10.0 lakhs to 37.0 lakhs, with an average yearly salary of 21.5 lakhs.
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Benefits of Doing Data Science Course In Chennai

If the terms Machine Learning, AI, or Business Intelligence pique a student’s interest, Data Science is the course for them. This course will pay well and secure their professional future. However, it will also help them better understand many aspects of Data Science.
Let us take a glimpse at the benefits of taking a Data Science course:

  • A highly sought-after degree
  • Extensive knowledge reveals potential future opportunities.
  • Attractive compensation packages

Why Should One Choose Besant Technologies For The Data Science Course In Chennai?

Besant Technologies is well-known for offering the best online training courses in Chennai using cutting-edge technology, procedures, and programs. This Data Science Training Institute in Chennai is an excellent choice for anyone interested in learning data science for the following reasons

  • Provides Hands-on experience – The data science course at this data science institute in Chennai offers hands-on experience and theoretical knowledge in data extraction, processing, and interpretation. As a result, by identifying their strengths and skills, learners can develop skills much faster. They can also identify their weak points and improve with the help of data science trainers.
  • Teaches from a business perspective – Businesses use data in a variety of ways. A certified data science expert can be an invaluable asset to a company. As a result, the institute teaches the general importance and significance of data in business that will assist our students in applying the appropriate knowledge at the proper time and location. 
  • Prepares curriculum to excel during placements – Besant Technologies prepares the entire data science course curriculum to excel during placements by paying close attention to the pattern of questions asked during interviews that will assist students in preparing for internships and full-time positions with well-known MNCs.
  • Develops advanced data skill sets – Because the institute’s Data Science course in Chennai modules can assist in the resolution of a variety of common problems, they are designed to create advanced data skill sets in students.
  • Provides course completion certificate – After successfully completing a data science course, Besant Technologies provides their students with certificates that students can use globally to apply for their dream job, which unlocks the door to various job opportunities in the field of data science.
  • Expert Trainers teaches the course – Our trainers are working professionals with over seven years of experience in training. Students are assisted in completing the live data science project by an industry expert and working professional who also gives interview questions, preparatory sessions, and job placement assistance.
We are the finest data science course training centre in Chennai. We deliver the best data science training in Chennai, covering all course modules throughout the data science training classes. Students can also participate in a program that will provide them with 100% data science placement training.

Objectives Of Data Science Course At Besant Technologies

  • In data science, students are taught all the skills required to work with various data and statistical figures.
  • The designed program provides students with a comprehensive understanding of the various strategies, skills, methodologies, and tools required to deal with company data.
  • These courses cover statistics, programming, algorithms, and big data topics in depth. 
  • This Data Science course in Chennai will also reveal the difference between Big Data and Data Science. Big data analysis , often known as data mining, deals with a significant volume of data.
  • Students gain the skills they need to extract desired answers and aid in making important decisions.
  • The course curriculum will provide students with a thorough understanding of both the principles and practical applications of data science as a field of knowledge.
  • Students will also get acquainted with the capstone project that allows data scientists to synthesize all of their expertise and demonstrate it through a thorough effort.
  • Students will also be able to apply machine learning algorithms and data mining.
  • Students also get acquainted with data science tools like R programming , Python programming , etc. Python is the place to go if they even want to use data analysis. Python is a simple data science tool with an extensive community. Data science libraries and machine learning techniques have a Python version.

Who Can Enroll At Besant Technologies For A Data Science Course In Chennai?

There is no upper age barrier or minimum educational requirement for eligibility. Students are welcome to join Besant Technologies’ Data Science Course if they are motivated to study. However, familiarity with computer science, programming language, and software skills such as SQL, Python , Java , Hadoop , and others and solid knowledge of algorithms, mathematics, and calculations and programming skills will be advantageous.

If they want to develop their career and earn much more money, obtaining a certification from India’s top online classroom training course providers is the best option.

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Upcoming Batch Schedule for Data Science Training in Chennai

All students at Besant Technologies have flexible schedules. The data science class schedule for the data science classroom training course can be seen below. Please let us know if the schedules do not match.

  • 22-07-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
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Syllabus of Data Science Course in Chennai

Data Science with Python

Module 1: Introduction to Data Science

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

Module 2: Introduction to Python

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

Module 3: Python Basics

  • 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

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

Module 5: Importing Data

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to CSV file
  • 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

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques
  • 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

  • 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
  • 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
  • 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
  • we’ve reviewed the main ways to approach the problem of modeling data using simple and definite

Unsupervised Learning

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


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

SVM Kernal

  • Linear
  • Radial
  • polynomial

Other Machine Learning algorithms

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest
  • 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

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

Deep Learning

Module 1: Deep Learning Algorithms

  • CNN – Convolutional Neural Network
  • RNN – Recurrent Neural Network
  • ANN – Artificial Neural Network
  • 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

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

Text to Features (Feature Engineering)

  • 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

  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching
  • 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.


Module 1: Tableau Course Material

  • 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

  • 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


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

Module 3: Learn Tableau Charts

  • 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
  • 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

  • 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
  • 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

  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Create the function based index and types.

Manage Objects with Data Dictionary Views

  • Explain the data dictionary
  • Use the Dictionary 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
  • Compare Date and Time in a Session’s Time Zone
  • Difference between DATE and TIMESTAMP
  • INTERVAL Data Types

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
  • 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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Data Science Training Trainer Profile

  • Besant Technologies’ Data Science trainers provide their students with the flexibility to investigate, examine, and learn data science courses based on real-world situations.
  • They have licensed data science professionals who have excelled in their studies.
  • They are data science professionals in leading MNCs like ZOHO, CTS, TCS, IBM, Birlasoft, Philips Technologies, etc.
  • They can give the course appropriate examples in each data science lesson since they have practical communication abilities.
  • They are well-versed in both the practical and theoretical aspects of data science and machine learning principles.
  • To incorporate them into our data science corporate training, they stay up to date on industry trends and expectations.
  • They are entirely dedicated to assisting our students in advancing in their careers and obtaining internship possibilities through this Data Science course in Chennai.
  • They provide all available assistance to participants to help them reach their data science course goal and prepare them to face their interviews successfully.
  • In a single year, they have trained over 2000 students.
  • Most of our trainers work in companies and have considerable work experience in Data science field.

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Earn Your Data Science 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.

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Key Features of Data Science Training in Chennai

30+ Hours Course Duration

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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.

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

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.


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!



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.



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.



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.



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!



Student's Testimonials

Frequently Asked Questions

Is Besant Technologies going to help me find a job once I have finished my course?

Besant Technologies is a legend in the field of student placement. Please see our website for a list of students who got placed.

  • Last year, almost 2000 students got placed.
  • We offer a dedicated placement platform that caters to students’ needs during their placements.
  • Besant Technologies provides development programs that include mock interviews and preparation methods to help students prepare for challenging interviews.
  • 1000+ interviews organized with a placement rate of 92 percent.

Is Data Science a Good Career After a Data Science Certification?

Indeed. Suppose you are a master in machine learning algorithms and statistics and have a substantial data science-certified course degree from Besant Technologies. In that case, you can get a head start in Data Science. Besant Technologies provides Data Science with Python training , machine learning, Oracle database in the data science course in Chennai.
Name the top-notch companies recruiting in the field of data science?

Below is the list of some of the top-notch recruiters in the field of data science:

  • Infosys
  • Amazon
  • Genpact
  • Deloitte
  • Flipkart
  • Cognizant
  • Accenture
  • Wipro
  • IBM
  • Walmart
  • Microsoft

What if I miss a session at Besant Technologies' data science training institute in Chennai?

There is no need to be concerned. Besant Technologies ensures that you don’t miss lecture topics. We will reschedule the classes at your convenience within the course term. You can even attend that topic with other batches if necessary.
What are the career opportunities after the data science courses?

After successful data science course completion, Data scientist, Machine Learning Engineer, Data Architect, Data Analyst are the data science field as career opportunities.
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.
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


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

Landmark: Reliance Digital Showroom Opposite Street
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1st Floor, No.2A Duraisami Reddy Street,
West Tambaram, Chennai – 600 045
Tamil Nadu,India.

Landmark:Near By Passport Seva
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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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First Floor, 105C,
Mount Poonamallee Rd,
Sakthi Nagar, Porur,
Chennai, Tamil Nadu 600 116

Landmark: Near Saravana Stores
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Anna Nagar

1st Floor, No 54, 1633, 13th Main Rd,
Bharathi Colony, H Block, Tirumaniamman Nagar,
Anna Nagar, Chennai - 600 040
Tamil Nadu, India

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48/4 ,2nd Floor, N Usman Rd,
Parthasarathi Puram, T. Nagar,
Chennai, Tamil Nadu 600017

Landmark:Opposite to Pantloons Showroom
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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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No. 4/76, Ambedkar Street, OMR Road,
Egatoor, Navallur, Siruseri, Chennai 600 130
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Landmark:Near Navallur Toll Gate
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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.

Why Should you go for Data Science Training?

Who should go for Data Science Training?

How will Data Science Training help your Career?

what are prerequisites for Data Science Training?

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.

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:

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

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.

What skills are needed to be a Data Scientist?

Why is Data Science Important?

What is the Difference between Big data & Data science?

What is a Data Scientist VS Data Analyst?

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

Should one be a Data Engineer or 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,

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.


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 :

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?

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?

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?

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?

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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