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Data Science Course Objectives

  • To provide a learning environment that fosters scientific excellence and promote lifelong learning with understanding of professional responsibilities and obligations to clients and public.
  • Students themselves can formulate simple algorithms to solve problems, and can code them in a high-level language appropriate for data science work (e.g., Python, SQL, R, Java).
  • Communicate predictions and findings to management and IT departments through effective data visualizations and reports.
  • Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
  • Ability to develop software solutions for the requirements, based on critical analysis and research.
  • 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.
  • 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 be able to apply machine learning algorithms and data mining.

Prerequisites to learn Data Science Training & Certification

  • Statistics
  • Maths (Calculus and Linear Algebra)
  • Programming (R/Python/SQL)
  • BI & ETL Tools

Tools Covered in Data Science Course

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Skills Required to Become a Data Scientist in 2022

  • Python
  • SQL
  • Scala
  • Java
  • R Programming

  • MongoDB
  • Oracle
  • Microsoft Azure
  • Cloudera

  • Tableau
  • Power BI
  • SAS
  • D3.js
  • Python
  • Java
  • R libraries

  • Natural Language Processing
  • Classification
  • Clustering
  • Ensemble methods
  • Deep Learning

  • PyTorch
  • TensorFlow
  • Scikit Learn
  • Theano
  • Auto ML

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Data Science with Python and SQL

This course will introduce data manipulation and cleaning techniques using the popular python pandas data science library with Hands-on Training.

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Data Science using R

This Data Science course will help you to Use R to clean, analyze, and visualize data.

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This course provides Practical exposure on machine learning, datamining, and statistical pattern recognition. Master in Supervised learning, Unsupervised learning and AI.

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Hands-On Tableau Training for Data Science

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Data Science Course in Bangalore - Course Overview

Besant Technologies' Data Science Training Course in Bangalore will cover basic to advanced level topics to help course participants become Data Science Professionals. The course includes advanced topics such as Test Mining, Predictive Analytics, Big Data Analytics, TensorFlow, Apache Spark, Hadoop, Forecasting, Machine Learning, Deep Learning, and others. Improve your career prospects by becoming an expert in Data Science Algorithms through Project Implementations. Furthermore, the course aims to provide advanced techniques on SQL, Excel, and Tableau Tools for Data Visualization, assisting participants in becoming Data Analyst Professionals.

Introduction to Data Science
Preview VIdeo

Data Science Training in Bangalore | Introduction Video

Data Science Course in Bangalore
Besant's Data Science Certification Training Course in Bangalore

Why is Besant Technologies Providing The Best Data Science Course in Bangalore?

  • Scope of Data Science - As you are all aware, the field of Data Science has a wide range of applications because many businesses and organizations rely on data to make money. This clearly shows that someone well-versed in understanding and working with large amounts of complex data can become a Data Science Professional.
  • Job Opportunities for Data Science - After completing a Data Science course in Bangalore, one can apply for jobs such as Data Analyst, Data Scientist, Marketing Analyst, Machine Learning Engineer, Data Engineer, AI Engineer, Business Intelligence Analyst, and so on.
  • Skills in Demand - The Data Science course helps to improve technical skills such as programming (Python, Java, SQL, C++), knowledge of analytical tools (SPARK, R, HADOOP), and non-technical skills such as communication, strong business sense, and data intuition.
  • Top Companies Looking for Data Science Professionals - Companies hiring data scientists in Bangalore include Philips, Flipkart, JPMorgan Chase & Co., Siemens Technology, IBM, Walmart Labs, Google, Infosys, and others.

Eligibility for Data Science Course in Bangalore

  • Anyone interested in learning Data Science, whether an experienced practitioner beginner or a beginner, is welcome to enroll.
  • Students from other disciplines, such as business studies, are also welcome to enroll in Data Science courses.
  • Data Science courses in Bangalore are also available for engineers, software developers, marketing professionals, and IT professionals.
  • Basic high school level studies with computer science knowledge are minimal for Data Science courses.
  • Business professionals with a bachelor's or master's degree in business administration, such as a BBA or MBA, are also eligible to pursue courses in Data Science.

We are the finest Data Science Course Training centre in Bangalore. We deliver the Best Data Science Training in Bangalore, 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.

Learning Outcomes of Data Science Training in Bangalore

Besant Technologies covers nearly every fundamental to the core concept in the Data Science certification course. After completing the Data Science Training, participants will receive the following benefits.

  • The ability to create a decision tree.
  • Data Analysis Understanding Descriptive Statistics
  • Learn about Business Analytics and Business Intelligence.
  • Working knowledge of Tableau
  • Learn R and its data exploration concepts such as HBase, Map Reduction, and Hive.
  • Using recommender systems in the workplace
  • Hadoop Integration with R is intended for Statistical Computing.
  • Python Basic Data Types Command
  • Effectively generate data sets and create data visualizations.
  • Learn how to validate and clean data.

Why Choose Besant Technologies for the Best Data Science Courses in Bangalore?

If you are looking for the Best Data Science Training Near Me, Besant Technologies is the highest-ranked institute where you can enroll. Following are some of the benefits of taking the Data Science course at Besant Technologies:

  • Provides a curriculum meticulously designed by industry experts.
  • Expert data science instructors teach the course using live projects and job placement assistance in data science classes.
  • There are no prerequisites to enroll in the classroom training and online course.
  • To assist students in preparing for difficult interviews, the institute holds mock interviews. Students can access Data Science interview questions and answers to help them succeed in their interviews.
  • The Data Science course Fees in Bangalore at this institute are reasonable.
  • Participants in the course have unlimited access to the course materials and interview questions for the rest of their lives.
  • Participants can get answers to their questions about the course 24*7.
  • To help students succeed in their careers, the institute stays current on industry developments and constantly modifies its teaching methods.
  • Besant Technologies is ranked as the Best Data Science Training Institute in Bangalore, promising to help job seekers advance their careers in the field of Data Science through excellent classroom and online training.
  • Real-time and self-paced training is the foremost advantage of enrolling for the Data Science Training in Bangalore.
  • The institute provides a few Data Science Certification Courses

Why Wait? Take a 100% Placement Assurance Data Science Course in Bangalore to kickstart your career!

Data Science Training Key Features

  • 100+ hours of Practical Learning.
  • Six industry projects with Multiple case studies.
  • Lifetime access to self-paced learning and class recordings.
  • Hands-on practice with Python, R, Machine Learning & AI.
  • 100% Placement Oriented Classes.
  • Course Delivered by Certified Data Scientist Professionals.
  • Unlimited Interviews & Internal Job Portal.

Data Science Course Training Options

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One-One Training

Customized and exclusive training based on your requirement.

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Online Training

Online Course will make you become a certified Expert in Just One Month.

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Team/Corporate Training

If you want to give the Trending technology experience to your esteemed employees, we are here to help you!

Data Science Training Videos

What is Data Science | Data Science Tutorial

What is Data Science | Data Science Tutorial For Beginners

Data Visualization in Python using matplotlib | Training Video

Data Visualization in Python using matplotlib Tutorial

Data Science Interview Questions

Data Science Interview Questions

Data Science Course in Bangalore Schedule

  • 22-07-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 18-07-2024 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 20-07-2024Sat (Sat - Sun)Weekend Batch11:00 AM (IST) (Class 3Hrs) / Per SessionGet Fees
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Data Science Training Course Content

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
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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
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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
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Module 4: Python Packages

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library


  • Installing jupyter notebook for windows, Linux and
  • Installing numpy, pandas and matplotlib
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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
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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.
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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
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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
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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
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Unsupervised Learning

  • K-Means
  • K-Means ++
  • Hierarchical Clustering
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  • Support Vectors
  • Hyperplanes
  • 2-D Case
  • Linear Hyperplane
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SVM Kernal

  • Linear
  • Radial
  • polynomial
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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
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Module 1: AI Introduction

  • Perceptron
  • Multi-Layer perceptron
  • Markov Decision Process
  • Logical Agent & First Order Logic
  • AL Applications
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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
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Module 2: Introduction to NLP

  • Text Pre-processing
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization
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Module 3: 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
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Module 4: 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.
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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
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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
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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
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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
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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
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Module 6: Learn Tableau Dashboards

  • Create a Dashboard
  • Format Dashboard Layout
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story
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Module 7: Server

  • 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
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Introduction to SQL

  • 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
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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.
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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
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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.
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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.
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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.
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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
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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
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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.
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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.
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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
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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
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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
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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.
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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
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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
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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
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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
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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 Certification Courses in Bangalore

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Best Data Science Training Course in Bangalore with Besant technologies

Data Science is one of the hottest jobs in the tech industry and a very lucrative career option for those who want to Start Career into the world of Data Analytics.

Advanced Your Data Scientist Career in 2021 with Besant Technologies Data Science Course in Bangalore Offered by Industry Experts you can get a head-start in your Data Science career by Joining in this Data Science Certification Training.

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Projects in Data Science

Data Science Project 1: Board Game Review Prediction
Project 1

Board Game Review Prediction

Increase adoption and usability by making dashboards more dynamic and focused.

Data Science Project 2: Credit Card Fraud Detection
Project 2

Credit Card Fraud Detection

Add business logic to improve the user experience.

Data Science Project 3: Stock Market Clustering
Project 3

Stock Market Clustering

Create records, processes, and flows with Process Builder and Cloud Flow Designer.

Data Science Project 4: Getting Started with Natural Language Processing
Project 4

Getting Started with Natural Language Processing

Create records, processes, and flows with Process Builder and Cloud Flow Designer.

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

Obtaining Near State-of-the-Art Performance on Object Recognition

Create records, processes, and flows with Process Builder and Cloud Flow Designer.

Data Science Project 6: Image Super Resolution with the SRCNN
Project 6

Image Super Resolution with the SRCNN

Create records, processes, and flows with Process Builder and Cloud Flow Designer.

Looking for IT Jobs in Bangalore? (or) Make a Successful Career Change into Data Scientist?

Recruiters are looking for you! All you need is Learn A-Z Of Data Science Including Statistics, Math, Data Analytics, Data Visualization, Machine Learning, AI, NLP, Deep Learning , Python and R Programming with Besant Technologies, Become Data scientist Certified Professional And Get Job in Just 3 Months with our Placement Assurance Program

Data Science Training Course Certification Benefits

Data Science Certificate

Validate your mastery with the certification:-

We have the most in-depth and exhaustive Data Science Course in Bangalore. And the certificate you earn validates your achievement in this domain.

Set yourself apart from the crowd with our certification:-

Your experience with live projects, case studies and simulations after your Data Science Course certification Training in Bangalore with Besant will offer you an edge over other job seekers in the IT job market.

Let the world know about your mastery in Data Science:-

Share your certificate with your friends and professional circle through social media or just get it framed for display— show off your skills!

What's in this Data Science Course for you?

Skills Enhancements

Data science is one of todays top careers. Get the Data Science training in Bangalore with #1 Ranked Institute to Enchance your Skills such as data analysis, mining, SQL, Tableau, visualization, and big data, using tools like Excel, R, Hadoop, and Python. This Data Science Master Program will help you to Become Expert in machine-learning algorithms, data can offer insights, guide efficiency efforts, and inform predictions can be valuable skills in your career.

Career Progression

Transform your resume with Data Science Master's Program. For four years in a row, data scientist has been named the number one job in the India by Glassdoor. What’s more, the U.S. Bureau of Labor Statistics reports that the demand for data science skills will drive a 27.9 percent rise in employment in the field through 2026. Not only is there a huge demand, but there is also a noticeable shortage of qualified data scientists. Explore Data Science Popular Courses in Bangalore that you can complete at your pace from a Best Training Institute to Become Certified Data scientist

Average Salary

Data science is a field that combines domain knowledge, programming abilities, and mathematics and statistics knowledge to extract useful insights from data. According to the Job Sites Data Science Certified Professionals are more paid in India. Also the Salary also Depends on Employeers and Cities in India. We Recently Placed Our Candidates in Top Companies Like HCL, Genpact, Wipro, GAnalytics , IBM around 10Lacs. We List Data scientist Salary details City wise in India.
Mumbai: Rs.788,839 per annum | Chennai: Rs.784,403 per annum | Bangalore: Rs.948,488 per annum | Hyderabad: Rs.756,023 per annum | Pune: Rs.705,146 per annum | Kolkata: Rs. 502,978 per annum | Delhi: Rs. 511,978 per annum

Our Alumni Works At

Besant's Hiring Partner accenture Data Science Training in Bangalore Hiring Partner amazon Hiring Partner ATOS | Syntel for Data Science Certified Course in Bangalore Data Science Certification Training in Bangalore Besant's Hiring Partner capgemini Data Science Course in Bangalore Besant's Hiring Partner HCL Data Scientist Course in Bangalore Data Analytics Training in Bangalore Nasscom data science certification course Besant Technologies Hiring Partner Mphasis Hiring Partner Tech Mahindra for Data Science Certification Professionals Hiring Partner Wipro Data Science Data Science Certification Course in Bangalore with IBM

Data Science Trainer Profile

Data Science Training Instructor



Specialist in: Data Science

Languages:English | Hindi | Tamil | Malayalam

Data Science Trainer

Bala has worked for 7 years with Besant Technologies as a Data Science Trainer, collaborating with many professionals from different backgrounds.

He is Not only the IBM Certified Trainer, but also a Developer and Technical Lead, who has been building life Applications for Small Business Using Machine Learning, Deep Learning, AI and NLP.

Trained and coached teams in data science and embracing a more agile mindset.

Implemented a common approach to discovering data products with a more empirical approach.

Provided ongoing coaching for the Data Science Teams, Agile Coaches and Product Owners.

He has delivered Data Science & AI Courses all around India, helping Organizations to improve their Productivity. Bala has worked for various companies including CTS, HP, Verizon, IBM and TCS.

Data Science Instructor Experience

  • Strong Experience in Decision Trees, Ensemble Models (Bagged Trees, Random Forest, Gradient Boosting a.k.a. GBM, Extra Gradient Boosting a.k.a. XGB, Stacking, Voting)
  • Strong Experience Object based learning and optimization techniques such as SVM, Neural Network and Logistic Regression and Linear Regression
  • Unsupervised learning techniques dimensional reduction (TSNE, PCA), outlier/anomaly detection(One-Class SVM, Isolation Forest), clustering(K-Means) and association.
  • Experience in data science projects implementation using deep learning technologies such as Keras, Tensor flow, Theano and Py-Torch.
  • Experience in data science projects development with Artificial Neural Networks(ANN) for Bank churn predictions.
  • Experience in data science projects development with Convolutional Neural Networks(CNN) for image recognition.
  • Experience in using Autoencoders for language embedding(NLP)Experience in using Boltzman Machine, Self Organizing Maps.
  • Developed model for identifying features in Face images using Open CV with Viola Jones and Haar-Cascading features.
  • Developed Computer Vison model for recognize images using OpenCV Single Shot Detection(SSD) algorithm.

Student Feedback for Data Science Training Course in Bangalore

I enrolled in the Data Science course at Besant Technologies, Bangalore. My trainer was Mr.Sundar. His teaching is very good. He clears doubts and his teaching is easy to understand too. It provides hands-on experience with real-time examples that helps in understanding the concepts much easier. Thanks to Besant Technologies.

Besant's Data Scientist Course in Bangalore Review by Vijay

IT Professional

I have completed the Data Science course from Besant Technologies recently. My trainer, Sundar Mohan, has maintained a very good standard of the course and has taught us very well along with the practical knowledge in different scenarios. He patiently took our problems and doubts and solved them. I am grateful to my trainer and Besant Technologies.

Image of Data Science Student and Feedback

IT Professional

I have completed the Data Science course and the training was good. thanks to my trainer Santhosh and Besant Technologies. Thanks to Besant Technologies for giving these wonderful opportunities.

Data Science Training Course in Bangalore for Working Professionals
Raam Kumar

IT Professional

Watch Our Placed Students who Completed Data Science Course Recently

Besant technologies Stundet Mr.Aravind  Got Placed as data scientist with Good Package

Learn Data Science Classes in Bangalore with Placement Support

Success story of Fresher Student Mr.Nithin who Got Placed in DXC Technology

Master in Data Science Tools with our Hands-on Training

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Enroll for Data Science Training Course to Become Certified Professional

Data Science Training Course in Bangalore FAQ's

It is necessary to have a good grade and working knowledge of computer foundations, statistics, mathematics, and machine learning. Knowledge of programming languages, preferably R or Python. Database knowledge is required. Hadoop, MapReduce, and Spark are additional benefits. You'll need to know how to use data wrangling, mining, cleaning, reporting, and visualization tools.

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

  • Oracle
  • Amazon
  • JP Morgan Chase
  • Teradata
  • Accenture
  • Infosys
  • Genpact
  • Deloitte
  • Flipkart
  • Cognizant
  • Wipro
  • IBM
  • Walmart
  • Microsoft

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.

There are many IT training institutions in Bangalore 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.

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.

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

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.

No. Please do visit our website to know about Refunds Policy.

If you are looking to transition your career to data science, Besant Technologies Provides 100% Job Oriented Data science course in Bangalore for working professionals. Kick Start your career as a Data scientist with our Best Data Science Certification courses in Bangalore.

  • More than 22000+ students Trained
  • 95% percent Placement Record
  • 10000+ Interviews Organized
  • 5000+ Tie-up Companies

This Data Science Course will be available in Both Weekdays and Weekends with Backup Classes and Recorded Videos.

Regular Batch (Morning, Day time & Evening) Seats Available: 8 (maximum)

Weekend Training Batch (Saturday, Sunday & Holidays) Seats Available: 8 (maximum)

Fast Track Batch Seats Available: 5 (maximum)

Online Classroom Batch Seats Available: 10 (maximum)

Corporate Training Batch Seats Available: 20 (maximum)

As per the latest reports from top research firms in salary surveys like PayScale and Glassdoor, Data Scientists are earning an average salary of Rs. 859,837/- per year in Bangalore.

It varies based on city, industry, total years of experience and more.

Our Data Science training in Bangalore helps you to go even beyond the average salary as mentioned above.

It might depend on every individual company. But, widely these are the roles anyone can expect after successful completion of Data Science Training in Bangalore.

  • Data Scientist
  • Senior Data Scientist
  • Data Scientist (with SAS proficiency)
  • Research Analyst

Absolutely, we are having a dedicated HR team to assist you at the end of the course.

  • We / Your Instructor helps you build a proper resume.
  • We / Your Instructor will share top Data Science and Machine Learning interview questions and answers.
  • We / Your Instructor will share some of the insights about the real world projects using Data Science.
  • We are working tirelessly to bring a better career change.

  • You can utilize high speed free internet in our premises.
  • You will get "n" number of contacts who are working in various companies which will increase industry exposure.
  • You will get all relevant documents for further exploration to be a master.
  • We’d installed power backup for all classrooms.
  • We assist in International Certification if any such things are available.
  • If you are alumni of Besant Technologies, you will get more discounts in course fees.

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.

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 Bangalore.

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.

We accept all major kinds of payment options. Cash, Card (Master, Visa and Maestro etc), Net Banking, razorpay, ccavenue, paypal and etc...

Following are the few career opportunities after the successful Data Science Training with Placements in Bangalore:-

  • Data Analyst
  • Data Scientist
  • Data Science Manager
  • Data Architect
  • Database Administrator
  • Data Storyteller
  • Data Engineer
  • Machine Learning Engineer
  • Machine Learning Scientist

Besant Technologies Data Science Course in Bangalore View 9 Locations Nearby

BTM Layout

No 2, Ground floor, 29th Main Road,
Kuvempu Nagar, BTM Layout 2nd Stage,
Bengaluru, Karnataka-560 076

Landmark: Next to OI Play School
View Location


No. 43/2, 2nd Floor, VMR Arcade,
Silver Springs Layout, Munnekollal Varthur
Main Road, Near kundalahalli gate
signal, Marathahalli, Bengaluru, Karnataka-560 037.

Landmark: Near Kundalahalli Gate Signal
View Location

Rajaji Nagar

No. 309/43, JRS Ecstasy, First Floor,
59th Cross Bhashyam Circle, 3rd Block, Rajajinagar,
Bengaluru, Karnataka-560 010, India

Landmark: Near Bashyam Circle
View Location

Jaya Nagar

No. 1575, 2nd Floor, 11th Main Rd,
4th T Block East, Pattabhirama Nagar, Jayanagar,
Bengaluru, Karnataka-560 041

Landmark: Opposite to Shanthi Nursing Home
View Location

Kalyan Nagar

No.513, CMR Main Rd, HRBR Layout 2nd Block,
HRBR Layout, Kalyan Nagar,
Bengaluru, Karnataka-560 043

Landmark: Opposite Building of Kalyan Nagar Axis Bank
View Location

Electronic City

Ganga Enclave, No. 7, 3rd Floor,
Village, Doddathoguru, Neeladri Rd,
Karuna Nagar, Electronics City Phase 1,
Electronic City, Bengaluru, Karnataka-560 100

Landmark: Adjacent to HDFC Bank and State Bank Of India
View Location

Indira Nagar

First Floor, No.54, 5th Main Road, HAL Old Airport Rd, Behind Hotel Leela Palace,
HAL 2nd Stage, Kodihalli,
Bengaluru, Karnataka-560 008

Landmark: Behind Leela Palace Hotel
View Location

HSR Layout

Plot No. 2799 & 2800, 1st Floor, 27th Main Rd,
1st Sector, HSR Layout,
Bengaluru, Karnataka-560 102

View Location


No.29, 2nd Floor, SN Complex, 14th Main Rd,
E Block, Sahakar Nagar, Extention,
Bengaluru, Karnataka-560 092

Landmark: Near Navallur Toll Gate
View Location

Related Courses

Interview Questions

Besant Technologies Offers Latest Data Science Interview Questions and Answers for freshers and experienced professionals which will help you to clear Interviews in the first attempt. These Data Science Related interview Questions are Prepared by working Professionals based on the industry requirements. Stay tuned we will update the Recent interview questions with Answers Frequently.

Related Blogs

Data Science Course in Other Cities

Additional Info of Data Science Course

Why Should one Choose Besant Technologies for the Data Science Course in Bangalore?

Besant Technologies is well-known for offering the best online training courses in Bangalore using cutting-edge technology, procedures, and programs. This data science training institute in Bangalore 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 Bangalore 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 Bangalore 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.

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.

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.

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.

Data Mining Engineer: According to Glassdoor, the average compensation for a Data Mining Engineer in India is 61,544 per month.

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.

Besant Technologies Data Science training will make you an expert in Data Science & AI Skills Including:-

  • Programming
  • Machine Learning Techniques
  • Data Visualization and Reporting
  • Risk Analysis
  • Statistical analysis and Math
  • Data Mining
  • Cleaning and Munging
  • Big Data Platforms
  • Cloud Tools to Become Data scientist

You will also get assignments in Real life Projects in this Data Science Course Training in Bangalore.

Enroll in this Data Science training course in Bangalore to jump start your career in Fortune 500 company, Such as Amazon, Microsoft, IBM, Google. This Data Science Certification course will Focued on your Carrer Growth delivered by Industry Experts from the Basic to Advanced Level.You will Start learning Data Scinece & AI Concepts with Demo Projects experience for better understanding.

The Data Science course is designed for anyone who wishes to understand the concepts of Data Science from a Data Scientist’s perspective. Professionals who can benefit from this course include:

  • A career as a data analyst will suit you if you are highly analytical, have strong mathematical skills and are curious and inquisitive.
  • Managers from any field, as Analytics is the best tool for managers these days who love solving challenging programs.
  • Business Analysts and Data Analysts who wish to upscale their Data Analytics skills who love working with data and writing programs to analyze the data.
  • Database professionals who aspire to venture into the field of Big Data by acquiring analytics skills.
  • Fresh graduates who wish to make a career in the field of Big Data or Data Science.

Besant Technologies Provides tailor-made Data Science training for working Professionals and Freshers.

  • Besant Technologies offers 1-on-1 live student-teacher sessions.
  • The technology used by Besant is called Whiteboard Audio Video Education or WAVE in short.
  • The platform enables a primary teacher, multiple teacher assistants, and many students to be live at the same time. We also hosts quizzes, but it is entirely on a live model.

Practical work is an essential component of science teaching and learning, both for the aim of developing student's scientific knowledge and that of developing student's knowledge about science.

Besant Technologies Offering Data Science Course in Bangalore with 10+ Branches Located at:-

  • Marathahalli
  • Koramangala
  • BTM Layout
  • Kalyan Nagar
  • Jayanagar
  • Sarjapur
  • Vijaynagar
  • Whitefield
  • HSR Layout
  • Indira Nagar
  • Electronic City
  • Hebbal
  • Bellandur
  • Rajajinagar

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
  • All over the world, there are numerous and prestigious job opportunities.
  • Stability in an enriching career

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.

Why Wait? Take a 100% Placement Assurance Data Science Course in Bangalore to jumpstart your career!