Data Science Course in Bangalore

Takeaway Top-rated Data Science Course in Bangalore with Gyansetu and learn the best skills such as data analytics and data science. Working on live projects, top companies in Bangalore are looking for job-ready skills. Enroll Now and begin your journey to a high paying career in data science!

4.8 (7321 Reviews)

4.8

4.7

5.0

Job Guarantee Program 100% Support Until You’re Hired

Course Duration 6 Months + Life Time Access

Expert Mentorship Learn from Industry Experts

Flexible Learning Available in Classroom/Online formats

Next Batch: 22 Nov, 2025

Next Batch: 22 Nov, 2025

Overview
Features
Placements
Certification
Curriculum
Projects
Reviews
FAQs

Data Science Course in Bangalore Overview

The course of Data Science training in Bangalore will cover the basics and learn Python programming, data visualisation, predictive analytics etc. This course ensures you learn real-world skills and create a portfolio of real-world solutions that recruiters will love. It accomplishes this by integrating classroom learning with on-the-job, work-related assignments.

Some of the most important points are:

There are extensive modules on Python, data visualisation and machine learning.
Real world projects that you can take what you learn in the classroom to work.
Learning the latest tools and techniques that employers want to see today.

The future of the analytics world will be worked on Data Science, Machine Learning and Python. The U.S. faces an enormous surge in demand for experienced data scientists worldwide. According to the Bureau of Labour Statistics, by 2022 there will be 35% more jobs than in other industries. India is the world’s largest supplier of generic drugs, and companies that staff their data team with Python experts are hiring. Bangalore is India’s biggest tech hub, and there are many high-paying jobs for those who can convert data into actionable information.

Data Science Training in Bangalore

Key Highlights of Data Science Course

100% Placement Support

Unlimited Course Repeats

Mock Interviews

1:1 Doubt Sessions

Flexible Timing

Real Industry Projects

Placement Stats in Bangalore

Maximum salary hike

135%

Average salary hike

75%

Our Data Science Alumni in Top Companies

Data Science Course Placement Highlights

Shefali Agarwal

80 % Hike

Lead Analyst

Evalueserve

Analytics Specialist

Accenture

Ankit

100 % Hike

MCA

Fresher

Associate Consultant

Ernst & Young

Batches Timing for Data Science Course in Bangalore

Track	Weekdays (Tue-Fri)	Weekends (Sat-Sun)	Fast Track
Course Duration	5 Months	6 Months	45 Days
Hours Per Day	2-3 Hours	3-4 Hours	6 Hours
Training Mode	Classroom/Online	Classroom/Online	Classroom/Online

Data Science Certification in Bangalore

By the end of this course you will get the Data Science Certification that is industry recognised in Bangalore. That will create a new set of employment opportunities in analytics, business intelligence and AI-driven decision-making.

Increased Earning Power — Certified professionals in the field make 20% more than their non-certified counterparts (IBM Skills Network & LinkedIn Learning research).
Accelerated career growth – Leading IT and analytics companies in Bangalore look for certified professionals to take up managerial / leadership roles.
Instant Credibility – Your certified status proves that you possess high-profiling technical skills in various analytics domains.

Show off your certificate on LinkedIn, Meta and other professional networking sites to get noticed by recruiters from some of Bangalore’s most prominent IT and analytics companies.

Enquire Now

Data Science Course Curriculum

Gyansetu in Bangalore is a comprehensive learning experience that prepares you to get ahead and succeed in tackling real-world data analytics challenges and become a certified Data Science professional.

SQL

The SQL Developer Certification will enable you to get hands-on experience in enterprise level database management. Master SQL Operators, SQL Functions, Subqueries, Stored Procedures, User-Defined Functions (UDF), SQL Optimization & Performance Tuning and Database Concurrency to manage large sets of data very effectively.

13 Modules

SQL Certification Course

Introduction 5 Topics

File Management System and Its Drawbacks
Overview of Database Management System (DBMS) and Data Models
Physical Data Models
Logical Data Models
Entity-Relationship (E-R) Model

Introduction to Sql Server 10 Topics

Advantages and Drawbacks of SQL Server Compared to Oracle and DB2
Connecting to Server
Authentication Modes
SQL Server Authentication Mode
Windows Authentication Mode
Login and Password
SQL Server Management Studio and Tools in Management Studio
Object Explorer
Object Explorer Details
Query Editor

Introduction to tsql 19 Topics

Types Of TSQL Commands
Data Definition Language (DDL)
Data Manipulation Language (DML)
Data Query Language (DQL)
Data Control Language (DCL)
Transaction Control Language (TCL)
Database
Creating Database
Altering Database
Deleting Database
Constrains
Procedural Integrity Constraints
Declarative Integrity Constraints
Not Null, Unique, Default and Check constraints
Primary Key and Referential Integrity or foreign key constraints
Data Types In TSQL
Table
Creating Table
Altering/ Deleting Table

Data Manipulation Language 9 Topics

Insert
Identity
Creating A Table From Another Table
Inserting Rows From One Table To Another
Update
Computed Columns
Delete
Truncate
Difference Between Delete and Truncate

Data Query Language (DQL) 12 Topics

Select Clause
Where clause
Top clause
Order By Clause
Distinct Clause
Isnull() function
Column aliases
Predicates
Between … And
In
Like
Is Null

Built In Functions 13 Topics

Scalar Functions
Numeric Functions
Character Functions
Conversion Functions
Date Functions
Aggregate Functions
Convenient Aggregate Functions
Statistical Aggregate Functions
Group By and Having Clauses
Super Aggregates
Over (partition by …) Clause
Ranking Functions
Common Table Expressions (CTE)

Set Operators 3 Topics

Union
Intersect
Except

Joins 9 Topics

Inner Join
Equi Join
Non-Equi Join
Self-Join
Outer Join
Left Outer Join
Right Outer Join
Full Outer Join
Cross Join

Sub Queries 7 Topics

Single Row Sub Queries
Multi Row Sub Queries
Any or Some
ALL
Nested Sub Queries
Co-Related Sub Queries
Exists and Not Exists

Indexes 4 Topics

Clustered Index
Non-Clustered Index
Create, Alter and Drop Indexes
Using Indexes

Security 4 Topics

Login Creation
User Creation
Granting Permissions
Revoking Permissions

Views 3 Topics

Purpose Of Views
Creating, Altering and Dropping Indexes
Simple and Complex Views

Transaction Management 4 Topics

Introduction
Begin Transaction
Commit Transaction
Rollback Transaction

Power BI

With the Power BI Certification in Bangalore from Gyansetu, you are going to create interactive dashboards and business reports by engaging in real-life case studies. Master advanced DAX, data modeling and visualization with real-time dashboards to become a Certified Power BI Professional – one of the skills Bangalore’s top organizations can’t get enough.

12 Modules

Power BI Certification Course Curriculum

Introduction 7 Topics

Power BI Installation
Power BI Desktop
Data Imports into Power BI
Views in Power BI
Building a Dashboard
Publishing Reports
Creating Dashboard in Power BI

Components 8 Topics

Power Query
Power Pivot
Power View
Power Map
Power BI Service
Power BI & QA
Data Management Gateway
Data Catalog

Integration with Data Sources 8 Topics

Connect to DataSources
Power BI SQL Server Integration
Power BI MySQL Integration
Power BI Excel Integration
Python Integration with Power BI Desktop
Power BI Web Integration using APIs
Power BI Salesforce Integration
Power BI Microsoft Integration

Power Query Editor 14 Topics

Change Data type of column
Clean and Transform using Query Editor
Advanced Data sources and transformations
Cleaning irregularly formatted data
Combine Multiple tables
Clusters
Format dates
Groups
Hierarchies
Joins
Pivot table
Query Groups
Split Columns
Unpivot table

Data Models/ Relationship 14 Topics

How Data Model Looks Like
Database Normalization
Data Tables vs Lookup Tables
Primary Key vs Foreign Key
Relationships vs Merged Table
Creating Table Relationships
Creating Snowflake Schemas
Managing & Editing Relationships
Active vs Inactive Relationships
Relationship Cardinality
Many to Many
One to One
Connecting Multiple Data Tables
Filter Flow

Data Analysis Expressions (Dax) Functions 7 Topics

Introduction to DAX
DAX calculation types
Aggregate Functions
Date Functions
Logical Functions
String Functions
Trigonometric Functions

Charts 21 Topics

Area Chart
Bar chart
Card
Clustered Bar chart
Clustered Column chart
Donut chart
Funnel chart
Heat Map
Line Chart
Clustered Column and Line chart
Line and Stacked Column chart
Matrix
Multi-Row Card
Pie chart
Ribbon chart
Stacked Area char
Scatter Chart
Stacked Bar chart
Waterfall chart
Map
Filled Map

Filters 8 Topics

Slicer Basic
Filters
Advanced Filters
Top N Filters
Filters on Measures
Page Level Filters
Report Level Filters
Drill through Filters

Visualizations 12 Topics

Visuals in Power BI
Create and Customize simple visualizations
Combination charts
Slicers
Map visualizations
Matrixes and tables
Scatter charts
Waterfall and funnel charts
Gauges and single-number cards
Modify colors in charts and visuals
Z-Order
Duplicate a report page

Exploring Data 5 Topics

Power BI Service
QuickSights in Power BI
Create and configure a dashboard
Share dashboards with organizations
Install and configure personal gateway

Power BI and Excel 4 Topics

Using Excel Data in Power BI
Upload Excel Data to Power BI
Import Power View and Power Pivot to Power BI
Connect OneDrive for Business to Power BI

Power BI Publishing and Sharing 11 Topics

Introduction to content packs, security and groups
Publish Power BI Desktop reports
Print and export dashboards and reports
Manually republish and refresh your data
Introduction Power BI Mobile
Creating groups in Power BI
Build content packs
Use content packs
Update content packs
Integrate OneDrive for Business with Power BI
Publish to web

Python for Data Science

The Python Certification Course in Bangalore gets you from the basic to advanced level of Python such as Web Scraping, Numpy, Pandas, Data Exploration, Automation & Integrating with Rest APIs. By the end, you’ll be prepared to tackle real-world business problems with Python.

12 Modules

Python for Data Science Certification Curriculum

Introduction 6 Topics

Interpreted vs Compiled language
Introduction to Python
Advantages & Disadvantages of Python
Python Installation (Anaconda)
Applications of Python
“Hello World!” in Python

The Basics (DataTypes) 17 Topics

Variables
Keywords
Multiple Assignment
What are Datatypes?
Numbers
Strings
Indexing and Slicing
String Functions
Lists
List Functions
Dictionary
Dictionary Functions
Tuples
Sets
Type Conversion (Str, Int, Float, etc.)
Date & Time (Date, Time and DateTime classes in Python)
Operators (Arithmetic, Comparison, Logical, Assignment, Binary, Identity, Membership Operators)

Conditional Statements & Loops 9 Topics

If-Else statements
Relational Operators
Nested If/Else
Elif Statements
Logical Operators
For Loops
While Loops
Nested Loops
Pass, Break and Continue

Functions 7 Topics

User-defined functions
Unlimited parameters
Global and Local variables
Lambda functions
Map function
Sort function
Error and Exception Handling

Python Comprehensions 4 Topics

List Comprehensions
Dictionary Comprehensions
Set Comprehensions
Tuple Comprehensions (doesn’t exist)

Oops 6 Topics

Classes and Objects
Methods in Classes
Class Attributes
Instance Attributes
Inheritance
Overriding Methods

File Handling 5 Topics

Creating a file
Reading a file
Writing a file
Appending to file
Copying file

Web Scraping 7 Topics

Intro to requests
Intro to BeautifulSoup
Parsing HTML structure into soup
Data extraction from soup/HTML
Wikipedia scraping
News website scraping
Maps scraping

Database Integration 6 Topics

What is a database?
What is SQL (Structure Query Language)?
Introduction to MySQL
Installing MySQL
Connection MySQL with Python
CRUD operations

Multi-Threading 7 Topics

What is multi-threading?
Introduction to parallel processing
Intro to threads
Threading module
Creating threads using threading module
Synchronizing threads
Threads priority queue

Exploratory Data Analysis 4 Topics

Working with NumPy
Working with Pandas
DataFrames
Analyzing a dataset using NumPy and pandas

Natural Language Processing (NLP) 12 Topics

Intro to Natural Language Processing
Installing NLTK toolkit
Working with NLTK Toolkit
Sentence Segmentation
Word Tokenization
Parts-of-Speech Tagging
Lemmatization
Stop-word removal
Named Entity Recognition (NER)
Bag of words model
TF-IDF (Term Frequency – Inverse Document Frequency)
ML modelling

Statistics for Data Science

Establish a strong ground with Statistics for Data Science Certification in Bangalore. Master probability, descriptive and inferential statistics, correlation analysis, hypothesis testing, the distribution of variables, and sampling which includes confidence intervals —all these are indispensable for machine learning and predictive analytics.

4 Modules

Statistics for Data Science Course Curriculum

Descriptive Statistics 5 Topics

Intro to Descriptive Statistics
Measures of Center: Average, Mean, Median, Mode
Measures of Dispersion: Range, Quartiles and Percentiles, Inter Quartile Range (IQR), Variance, Standard Deviation
Covariance and Correlation
Simpson’s Paradox

Inferential Statistics 8 Topics

Normal Distribution
Standard Normal Distribution
T- Distribution
Point Estimation
Confidence Intervals
P-Value
Hypothesis testing
Levels of Hypothesis Testing

Probability 7 Topics

Uses of Probability
Need of Probability
Basics of Probability
Binomial Distribution
Conditional Probability
Bayesian Inference
Bayes Rule

Regression Modelling 7 Topics

Linear Regression Analysis
Logistic Regression Analysis
Problem of Collinearity
WOE and IV
Residual Analysis
Heteroscedasticity
Homoscedasticity

Machine Learning in Python

You'll master Supervised, Unsupervised, Reinforcement, and Deep Learning fundamentals.You will learn to use Python libraries such as Numpy, Pandas, Seaborn, Matplotlib implementations for data reading and cleaning.* Will know how to use the Python libraries Scikit-Learn (machine learning), Keras/TensorFlow (Deep Learning).And you will also work on various projects during the course of your Machine Learning Training in Bangalore with appropriate datasets.

12 Modules

Machine Learning in Python Course Curriculum

Introduction to Machine Learning with Python 6 Topics

Python Revision (NumPy, Pandas, scikit learn, matplotlib)

What is Machine Learning?
Statistical Learning vs Machine Learning
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories

Model Evaluation Metrics 11 Topics

Accuracy
Precision
Recall
True Positive Rate / False Positive Rate
F1-Score
Confusion Matrix
ROC Curve
Area Under the ROC curve
Mean Absolute Error (MAE)
Mean Squared Error (MSE)
R2 Score

Supervised Learning – Regression 5 Topics

What is Regression and its use cases?
Linear Regression
Polynomial Regression
Support Vector Regression (SVR)
Decision Tree Regression – ID3 and CART

Supervised Learning – Classification 11 Topics

What is Classification and its use cases?
Logistic Regression
Support Vector Machine (SVM)
Kernel SVM
Naïve Bayes
k-Nearest Neighbours (k-NN)
Decision Tree Classification – ID3 and CART Algorithms
Ensemble Learning
Bagging vs Boosting
AdaBoost, Gradient Boost, XGBoost
Random Forest

Hyperparameter Tuning 6 Topics

What is model tuning?
Overfitting vs Underfitting
Cross Validation
Bias and Variance
Hyperparameter Optimization
Grid Search vs Random Search

Dimensionality Reduction 6 Topics

What is Dimensionality Reduction?
Feature Selection
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Random Projection
ICA

Unsupervised Learning 9 Topics

What is Clustering & its Use Cases?
K-Means Clustering
K-Means++
How to do optimal clustering – Elbow Curve?
C-means Clustering
Hierarchical Clustering
DBSCAN Clustering
Gaussian Mixture Model
Clustering Model Evaluation Metrics – Silhouette Coefficient, Dunn’s Index, etc.

Association Rules Mining and Recommendation Systems 7 Topics

What are Association Rules?
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How Recommendation Engines work?
Collaborative Filtering
Content Based Filtering

Reinforcement Learning 9 Topics

What is Reinforcement Learning?
Why Reinforcement Learning?
Elements of Reinforcement Learning
Exploration vs. Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q – Learning
Values

Time Series Analysis 8 Topics

What is Time Series Analysis?
Importance and Components of TSA
White Noise
AR model
MA model
ARMA model
ARIMA model
Stationarity

Natural Language Processing (NLP) 18 Topics

Intro to NLP
Setting up NLTK environment
What is NLTK Toolkit?
Text Processing
- Cleaning
- Normalization
- Tokenization
- Stop Word Removal
- Part of Speech Tagging
- Named Entity Recognition
- Stemming
- Lemmatization
Feature Extraction
- Bag of Words Model
- Count Vectorizer
- Term Frequency (TF)
Inverse Document Frequency (IDF)
- Word Embeddings

Introduction to Deep Learning 11 Topics

What is Deep Learning?
Curse of Dimensionality
Machine Learning vs. Deep Learning
Use cases of Deep Learning
Human Brain vs. Neural Network
What is Perceptron?
Learning Rate
Epoch
Batch Size
Activation Function
Single Layer Perceptron

Industry Ready Data Science Projects

Get Real-World Experience

Health Monitoring and Disease Prediction

You will be working on decision trees, neural networks, support vector machines to predict diseases and monitor health. The input data like vital signs, medical history, and diagnostic results will be gathered in a pre-processed manner to predict disease probability, personalized health insights, and early warnings.

Credit Risk Assessment

You will be working on Machine learning algorithms like Random Forest, Gradient Boosting, and Logistic Regression to predict the default applications. You will be developing a prediction model to check credit risks for loan applications by examining credit scores, personal data and repayment patterns of the customer.

480+

Hours of content

120+

Live sessions

Tools and software

Data Science Skills you can add in your CV

Data Science Tools Covered

What Sets This Program Apart?

GyanSetu ✅

Other Courses ❌

All-in-One Toolkit

Complete roadmap: Gen AI, Python, Power BI, SQL, Excel

Limited topics, outdated tools, no Generative AI coverage.

Beginner-to-Pro

Starts from scratch, no prior knowledge required, progressive skill-building.

Assumes prior knowledge, leaving beginners lost.

Gen AI Empowered

Integrated Generative AI tools like ChatGPT, Midjourney, and LLMs in every module.

No exposure to modern AI tools or trends.

Career-Focused Tracks

Choose your specialization– Data Analyst, Research Analyst, or Business Analyst.

One-size-fits-all approach with no career customisation.

Real Industry Exposure

25+ hands-on projects + 2 live capstone projects with real company datasets.

Only 1–2 academic-style projects, often theoretical.

Legacy & Expertise

Founded by IIIT-H alumni with 15+ years of tech & training experience.

Trainers with limited real-world industry background.

Practice Over Theory

70% hands-on coding, real datasets, and problem-solving.

Mostly theory-based learning with minimal practice.

Expert Mentorship

Learn directly from working professionals at Amazon, Deloitte, Accenture.

Generic faculty with no active industry engagement.

Who is this course for?

Aspiring Data Scientists/ AI Professionals
Software Engineers
Data Analysts
Career Changers
Statisticians
Academic Researchers and Educators

Career Assistance for Data Science Course in Bangalore

Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring for Data Science Role

Honours & Awards Recognition

GD Goenka University

Livpure

Denso International

ReverseLogix

BML Munjal University

Manav Rachna University

GLA University

DPGITM

GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Have Questions? Speak to Our Lucknow Experts!

+91 9999 201 478 +919999201478

4.8

4.7

5.0

Our Learners Testimonials

Pawan Kumar

I joined Gyansetu institute for Data Science, faculty is brilliant here. Training got completed in around 6 months.

Shruti Aggarwal

Gyansetu's practical learning methodologies have been invaluable. Institute focuses on hands-on projects and industry-relevant curriculum equipped me with the skills needed to analyze complex datasets and derive actionable insights for my organization.

Divya Singh

I was passionate about data analysis it was an amazing experience learning Data Analytics from Gyansetu. Here the faculties helped me learn from the basics to advanced concepts and with the practice on real projects I was able to crack the job.

Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

Why should you do Data Science Certification in Bangalore from Gyansetu?

Gyansetu’s Data Science Certification in Bangalore comes as a top choice because we provide industry-based learning developed by experienced data professionals who have worked for years in the corporate field.

What is the duration of the data science course?

Our full-time Data Science curriculum is designed to be completed in 4-6 months, focusing on a schedule of 30 hours/week.

I am into IT, can you support me in my job?

Absolutely. IT professionals in Bangalore looking to transition into a career in data science. Our placement team is actively working with the tech companies in Bangalore to find job opportunities that fit your profile.

Yes, we specialize in enabling non IT folks from a variety of backgrounds make successful transitions to careers in data science. Our Bangalore curriculum begins with the foundations of data science, and provides additional bridging modules to ensure all are on a similar footing.

We specialize in helping job assistance to everyone. And if you are a student or someone who’s been out of work – we provide opportunities for internships with Bangalore startups; handle projects that can go in your portfolio; prep on how to deal with gap periods during interviews.

Yes, you can get our demo class for free. In our demo class you will get to interact with our teachers and get answers to your queries.

We provide recorded videos which you can easily access at the best of your convenience. You can access these recordings whenever you want.

Yes, we provide learning materials for our students. You will get recorded lectures and get access to our curriculum as well.

We are very flexible; you can take the entire course again or repeat some of the modules within a year from signing up at no additional cost.

We take between 10-15 students in each batch so that we can focus on everyone. This will also help us to take feedback from the students.

Yes, our weekend course has been specifically designed for working professionals based in Bangalore on Saturdays and Sundays. This allows busy computer workers to acquire new skills without needing time off during the work week.

We offer weekday batches which last for 2 hours per day. This batch lasts for 3 months and the classes are held between Tuesday-Friday.

Our tech team provides step-by-step installation guides for all core softwares (Python, Anaconda, SQL or Power BI etc.), on both Windows and Mac. For students from Bangalore, we also have on campus installation assistance desks when the course starts. If you have trouble, our support can help with screen sharing remotely until everything is perfect.

All Bangalore alumni have life-time access to our query resolution system wherein you can post all the queries (technical and non-technical) related to AWS that you have in your professional work and we will get back with the best possible solution within 24 hours.

frequently asked questions by students for courses

Find Data Science Course in other cities

Data Science Course in Bangalore

Data Science Course in Bangalore Overview

Key Highlights of Data Science Course

Placement Stats in Bangalore

Our Data Science Alumni in Top Companies

Data Science Course Placement Highlights

Batches Timing for Data Science Course in Bangalore

Data Science Certification in Bangalore

Data Science Course Curriculum

SQL

Power BI

Python for Data Science

Statistics for Data Science

Machine Learning in Python

Industry Ready Data Science Projects

Data Science Skills you can add in your CV

Data Science Tools Covered

What Sets This Program Apart?

Career Assistance for Data Science Course in Bangalore

Top Companies Hiring for Data Science Role

Honours & Awards Recognition

Our Learners Testimonials

Frequently Asked Questions

Why should you do Data Science Certification in Bangalore from Gyansetu?

What is the duration of the data science course?

I am into IT, can you support me in my job?

I am currently working in a non-IT industry; will you offer me with Job Assistance?

I am not in my working stage or I have a profile gap or currently doing my studies, will you give me Job Assistance?

Do I get a trial class before joining?

What if I skip a class?

Do you give learning content?

What if I still want to learn or re-take the course?

What percent of your batches are average in size?

Do you study classes on weekends?

Isn't it that you have classes from Monday to Friday?

How do I even install the software?

What if I have differences of opinion after I do the course?

Data Science Course in Bangalore

Data Science Course in Bangalore Overview

Key Highlights of Data Science Course

Placement Stats in Bangalore

Our Data Science Alumni in Top Companies

Data Science Course Placement Highlights

Batches Timing for Data Science Course in Bangalore

Data Science Certification in Bangalore

Data Science Course Curriculum

SQL

Power BI

Python for Data Science

Statistics for Data Science

Machine Learning in Python

Industry Ready Data Science Projects

Data Science Skills you can add in your CV

Data Science Tools Covered

What Sets This Program Apart?

Career Assistance for Data Science Course in Bangalore

Top Companies Hiring for Data Science Role

Honours & Awards Recognition

Our Learners Testimonials

Frequently Asked Questions

Why should you do Data Science Certification in Bangalore from Gyansetu?

What is the duration of the data science course?

I am into IT, can you support me in my job?

I am currently working in a non-IT industry; will you offer me with Job Assistance?

I am not in my working stage or I have a profile gap or currently doing my studies, will you give me Job Assistance?

Do I get a trial class before joining?

What if I skip a class?

Do you give learning content?

What if I still want to learn or re-take the course?

What percent of your batches are average in size?

Do you study classes on weekends?

Isn't it that you have classes from Monday to Friday?

How do I even install the software?

What if I have differences of opinion after I do the course?

Similar Courses we offer