Data Science Course in Indore

Learn from industry experienced professionals; get job ready, practical skills through live projects designed in real business scenarios.India's Top IT, Retail, and Healthcare Companies in Indore are looking for Skilled Data Scientists ,this could be your opportunity for high paying & future ready roles. Reserve Your Seat Now And Fast Track Your Journey In To The Booming Career Of Data Science!!!

4.8 (9867 Reviews)

4.8

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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: 27 Dec, 2025

Next Batch: 27 Dec, 2025

Overview
Features
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Certification
Curriculum
Projects
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FAQs

Data Science Course in Indore Overview

Our Data Science Training Course in Indore is a well-planned course that will help you get ready for a job in the field. You will first learn how to use Python to write code, make predictions, visualize data, and do machine learning. You’ll learn by doing through live, project-based learning and sessions led by experts.

Use the latest business intelligence (BI) and analytics tools to help you solve problems in retail, healthcare, and e-commerce. If you’re new to analytics, an IT professional who wants to move into data science, or someone who wants to learn new skills to get ahead in their job, this class is perfect for you.

The number of data science jobs will grow by 36% around the world between 2023 and 2033. This means that there are a lot of jobs that need skilled workers. Indore, the financial capital of Madhya Pradesh, is quickly becoming a major center for AI and analytics. This is all thanks to IT parks, healthcare analytics companies, e-commerce startups, and businesses that are digital-first. This course will help you meet this growing need and get a high-paying job in Indore, where the job market is booming.

Data Science Training in Indore

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 Indore

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 Indore

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 Indore

Fundamentals of this course offer a Global Data Science Certification in Indore through which every aspirant can put the edge in analytics, business intelligence, and AI-driven decision-making roles.

Better Job Opportunities: Many e-commerce and information technology companies in Indore are hiring skilled professionals for lucrative job profiles.
Quick Career Growth: Many top IT companies situated in Indore are hiring certified professionals for a perfect position.

Enquire Now

Data Science Course Curriculum

The goal of this program is to get you ready for real-world analytics problems through hands-on, experiential learning.

SQL

Learn SQL Operators, Functions, Subqueries, Stored Procedures, and User-Defined Functions to become an expert at managing databases at the enterprise level. You will also work on real-world projects to improve your skills in optimization and performance tuning, as well as database concurrency. This will prepare you for jobs in analytics and database administration.

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

Use real-life examples from the retail and healthcare industries to learn how to make interactive dashboards and business reports. You will learn how to turn raw data into useful insights using data modeling, DAX formulas, and visualization techniques. This is a very useful skill for IT and consulting firms in Indore.

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

Learn more about Python and how to use it for data analysis, such as Numpy, Pandas, web scraping, API integrations, exploratory data analysis (EDA), and hypothesis testing. You will feel more confident solving problems in your field, like predicting demand and dividing customers into groups, by working on real projects.

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

Learn the basics of probability, descriptive and inferential statistics, hypothesis testing, sampling, and finding outliers. Use these methods on real business and finance data sets to make good decisions based on data.

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

In machine learning you will get information about popular topics like automated machines and XAI to stay ahead in the competition in Indore’s rapidly growing AI and analytics ecosystem.

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-oneAll-in-One Toolkit

Complete roadmap: Gen AI, Python, Machine Learning, Deep Learning, Statistics, Power BI, SQL

Limited topics, outdated tools, no Generative AI or ML coverage.

progress-iconBeginner-to-Pro

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

Assume prior knowledge, leaving beginners confused and lost.

empoweredAI-Integrated Learning

Modern Data Science powered with Gen AI tools like ChatGPT, Gemini, Copilot, Midjourney & LLMs in every module.

No exposure to modern AI tools, LLMs, or data-driven automation.

focusedCareer-Focused Tracks

Choose your specialization – ✔ Data Scientist ✔ Machine Learning Engineer ✔ AI Engineer ✔ Data Analyst (bridge track included)

One-size-fits-all curriculum with zero career customization.

Real Industry Exposure

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

Only 1–2 academic or theoretical projects with no real-world application.

expertiseLegacy & Expertise

Founded by IIIT-H alumni with 15+ years of tech, AI & training expertise.

Trainers with limited real-world data science or AI background.

practicePractice Over Theory

70% hands-on coding with ML models, datasets, AI pipelines & real problem-solving.

Primarily theory-based learning with limited practical implementation.

mentorshipExpert Mentorship

Learn directly from working Data Scientists & ML Engineers from Amazon, Deloitte, Accenture & top AI teams.

Generic trainers with no active industry involvement.

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 Indore

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

What are the fees for a Data Science course in Indore?

To know more about the fees structure you may contact our support team on +919999201478. We offer EMI options and discounts as well.

Do you provide an offline Data Science course in Indore?

No, we don’t provide offline classes in Indore but our online classes are interactive which makes these classes a better choice for students.

Does Gyansetu offer a Data Analyst course in Indore?

In Indore, Gyansetu also offers a special course for data analysts. This program is mostly about teaching people how to use tools and technologies like SQL, Power BI for data visualization, and Python for scripting and automation. It is for people who want to focus on data analysis and reporting and work in jobs that need strong analytical and presentation skills.

A lot of people can take the Data Science course in Indore. You can sign up if you are a recent graduate, an experienced IT worker, or someone with basic programming or analytical skills from a different field. The course is designed to build on what you already know and help you learn more advanced skills that will help you in a data-driven career.

People who work as freshers easily get Rs. 5-6 Lakh per year. This salary increases with time as you gain more experience and skills.

You can join a Data Science course in Indore if you have completed your 12th who have basic understanding of analytical concepts or interested in coding. This opens the door for young people who want to join their career in data science early.

Gyansetu provides 100 % placement help with the help of our Data Science course in Indore. This includes resume writing, mock interviews and help you to get a job.

It usually takes about four to six months to finish the Data Science course in Indore. The length will depend on how you want to study. You can choose between an intensive full-time classroom experience or a flexible blended format that works with your schedule.

After completing the course you will get certification from Gyansetu that is recognized by top companies and makes your profile better for job opportunities.

You will be working with real-world projects from various fields throughout the course. These projects will help you gain experience with modern data problems. This will help you to apply this theory you’ve learned to real-world situations and improve your practical skills.

frequently asked questions by students for courses

Find Data Science Course in other cities

Data Science Course in Indore

Data Science Course in Indore Overview

Key Highlights of Data Science Course

Placement Stats in Indore

Our Data Science Alumni in Top Companies

Data Science Course Placement Highlights

Batches Timing for Data Science Course in Indore

Data Science Certification in Indore

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 Indore

Top Companies Hiring for Data Science Role

Honours & Awards Recognition

Our Learners Testimonials

Frequently Asked Questions

What are the fees for a Data Science course in Indore?

Do you provide an offline Data Science course in Indore?

Does Gyansetu offer a Data Analyst course in Indore?

What is the eligibility for a Data Science course in Indore?

What is the salary of a Data Scientist in Indore after completing this course?

Can I do a Data Science course in Indore after 12th?

Do you provide 100% placement assistance for the Data Science course in Indore?

How long does it take to complete the Data Science course in Indore?

Do you provide a certification after completing the Data Science course in Indore?

What kind of live projects will I work on in this Data Science course?

Data Science Course in Indore

Data Science Course in Indore Overview

Key Highlights of Data Science Course

Placement Stats in Indore

Our Data Science Alumni in Top Companies

Data Science Course Placement Highlights

Batches Timing for Data Science Course in Indore

Data Science Certification in Indore

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 Indore

Top Companies Hiring for Data Science Role

Honours & Awards Recognition

Our Learners Testimonials

Frequently Asked Questions

What are the fees for a Data Science course in Indore?

Do you provide an offline Data Science course in Indore?

Does Gyansetu offer a Data Analyst course in Indore?

What is the eligibility for a Data Science course in Indore?

What is the salary of a Data Scientist in Indore after completing this course?

Can I do a Data Science course in Indore after 12th?

Do you provide 100% placement assistance for the Data Science course in Indore?

How long does it take to complete the Data Science course in Indore?

Do you provide a certification after completing the Data Science course in Indore?

What kind of live projects will I work on in this Data Science course?

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