Data Science & Analytics Course with AI

Learn to Turn Data Into Decisions—and Your Learning Into Real Proof.

You do not need a technical background to start. Learn the fundamentals, work with real data and build projects that show what you can actually do.

6 MonthsDURATION

Online / HybridLEARNING MODE

Beginner → AdvancedLEVEL

Industry CertifiedCERTIFICATE

Turn Curiosity Into the Ability to Solve Real Problems with Data.

Businesses collect data every day. The people who can clean it, understand it and turn it into useful insight help teams make better decisions. This program is designed to help you build those practical foundations—and create projects that show how you think.

Who it's for

Students, graduates, working professionals and career-switchers who want a structured way to enter data and analytics.

Why it matters

Data skills are becoming valuable across industries. Learn to ask better questions, analyse evidence and share insights.

Industries hiring

Fintech, e-commerce and SaaS companies, healthcare, consulting firms, product companies and in-house analytics teams.

Career Outcomes

Data Analyst, Business Analyst, BI Analyst, Product Analyst, Data Scientist and related roles, depending on your skills.

95+ Hours

Online Mode

Beginner Friendly

Certificate

Everything You Need to Start Building Career-Ready Skills.

Watching tutorials can teach you concepts, but confidence comes from applying them. This program is designed to help you learn, practise, receive guidance and build work you can discuss when you apply for opportunities.

Industry-Focused Curriculum

Learn the technical foundations, tools and workflows analysts use, through a path that builds in order.

Flexible Learning

Live sessions with recorded support, so you can keep learning alongside college or work without falling behind.

Hands-on Learning

Build projects that demonstrate analysis, dashboards, models and the problem-solving behind each of them.

Certification

Receive a verifiable record of the program you completed and the work you produced, ready to show an employer.

Experienced Mentors

Get feedback and guidance from qualified mentors as you build, so you learn what to fix while it still matters.

Career Support

Career preparation, mock interviews and support in pursuing the analyst roles you are actually aiming for.

Build a Data Toolkit You Can Actually Use.

Technical

Python with data science
SQL & Advanced Queries
Machine Learning
A/B Testing
Data Wrangling & ETL
Statistics & Probability

Analytics & BI

Power BI Dashboards
Tableau Visualization
Excel & Google Sheets
Data Storytelling
Business Metrics
Reporting Automation

Soft Skills

Stakeholder Communication
Problem Framing
Presenting Insights
Ownership & Autonomy
Documentation
Interview Confidence

A Structured Journey from Foundations to Real Projects.

Every module ends with a graded project. Every project makes your portfolio stronger.

Learning Modules

6 modules32 hours10 Projects

01 Python for Data Science 6h
02 Statistics & Probability 5h
03 Data Wrangling with Pandas 5h
04 Data Visualization Mastery 6h
05 Machine Learning Foundations 6h
06 Deep Learning & NLP 4h

Learn. Build. Show What You Can Do. Real-World projects to boost your portfolio.

Module 01 Weeks 1 to 2 — Python for Data Science

Start with the language that helps you work with data. Build the fundamentals slowly enough to understand them and practically enough to use them.

Python syntax and basics
Loops and functions
File handling and exceptions
Clean and reusable code
Variables and data types
OOP fundamentals
NumPy for data computing
Jupyter Notebook and VS Code

Deliverable: A documented Python data-analysis toolkit that shows how you write, organise and work with data.

Module 02 Weeks 3 to 4 — Statistics & Probability

Learn how to look beyond numbers and ask what they actually mean. Build the statistical thinking needed to make more informed conclusions.

Descriptive statistics
Probability fundamentals
Sampling & CLT
Correlation vs causation
Confidence intervals
Hypothesis testing
Statistical significance
Business statistics

Deliverable: An exploratory analysis with the findings communicated through a clear professional report.

Module 03 Weeks 5 to 6 — Data Wrangling with Pandas

Real-world data is rarely clean. Learn how to identify problems, handle missing information and prepare data before analysis begins.

Pandas DataFrames
CSV, Excel & API imports
Data cleaning
Missing values & duplicates
Filtering & grouping
Merging datasets
Data selection & indexing

Deliverable: A reproducible data-cleaning workflow with documented decisions.

Module 04 Weeks 7 to 8 — Data Visualization Mastery

A chart is easy to create. A useful story is harder. Learn how to choose visuals that help people understand what the data is actually saying.

Data visualization principles
Matplotlib basics
Seaborn visualizations
Plotly dashboards
Chart selection
Visual storytelling
Dashboard design
Business reporting

Deliverable: An interactive dashboard, presented with the business insights behind it.

Module 05 Weeks 9 to 10 — Machine Learning Foundations

Move from understanding what happened to exploring how models identify patterns and make predictions—while learning to evaluate whether a model is actually useful.

Machine Learning workflow
Supervised vs Unsupervised Learning
Regression models
Classification models
Model evaluation
Cross validation
Scikit-learn basics

Deliverable: Trained and compared models, with the results explained in a performance report.

Module 06 Weeks 11 to 12 — Deep Learning & NLP

Explore how modern AI works with images and language, while building a practical understanding of neural networks, NLP and large language models.

Neural network basics
TensorFlow & Keras
Image & text data
NLP workflow
Text pre-processing
Sentiment analysis
Large Language Models (LLMs)
Model deployment

Deliverable: An AI-powered sentiment analysis project with a clear demonstration of how it works.

Where Could Data Skills Take You?

Typical market range ₹5–12 LPA

General industry estimates for these roles — not a guaranteed outcome.

Top hiring industries

Fintech E-Commerce Consulting Healthcare

How much will you earn?

Data Analyst

₹4–8 LPA

Turn raw data into the insight a business can actually act on.

Business Analyst

₹5-10 LPA

Connect business problems, the people involved and the data behind them.

BI Developer

₹5-12 LPA

Create the reporting and dashboards that decisions get made on.

Data Scientist

₹8-18 LPA

Requires deeper technical foundations and further specialisation.

ML Engineer

₹10-20 LPA

An ML-focused path that builds on additional specialisation.

Product Analyst

₹6-14 LPA

Use metrics and experiments to understand product behaviour.

You Do Not Need to Become a Data Expert Overnight.

You only need a place to begin. Start with one concept, solve one problem, build one project. Then another, until it is work you know how to do.

DPIIT Recognized 4.6 Google Rating 350+ Hiring Partners

Learn to Turn Data Into Decisions—and Your Learning Into Real Proof.