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Python for Data Analysts

Learn Python the way REAL data analysts use it at work

Stop watching random tutorials.
Stop memorising Pandas functions.
Start thinking and working like a data analyst using Python.

This is not a “learn Python from scratch” course.
This is a career-focused Python course built specifically for data analysts.

📅 Starts on 1st March, 2026
⏰ Live Classes: Saturday & Sunday | 7:00 – 10:00 AM IST
🎥 Format: Live + Hands-on + Recordings available for lifetime
⏳ Duration: 5 Weeks (24+ hours of live training)
💵 Price: ₹2,000 (India), $75 (ROW)

Schedule:

Introductory Session - 1st March, 2026 | Sunday | 7:00 – 8:30 AM IST
Excel - 7th - 8th March, 2026 | Saturday & Sunday | 7:00 – 10:00 AM IST
Python - 14th March, 2026 onwards | Saturday & Sunday | 7:00 – 10:00 AM IST

Who Is This Course For?

This course is perfect for you if:

✅ You want to become a data analyst
✅ You are new to this field
✅ You already use Excel / SQL and want to move to Python
✅ You’ve “learned Python” but can’t confidently use it on real data
✅ You struggle when datasets are messy or numbers don’t match
✅ You want clarity, confidence, and job-readiness

This course is NOT for:

- Software engineering aspirants
- Competitive coding / DSA learners
- People looking for advanced CS concepts

Why Most Python Courses Don’t Work for Analysts

Let’s be honest.

Most Python courses:

Teach too much irrelevant content
Focus on syntax, not thinking
Use clean, unrealistic datasets
Ignore debugging and real-world mistakes

That’s why many learners say: “I know Python… but I still feel stuck.”

This course fixes that.

What Makes This Course Different?

👉 We teach only what a data analyst actually needs
👉 Every topic is tied to real analysis problems
👉 You learn when to use Python — and when not to
👉 We focus on decision-making, not just code

Python is just a tool.
Thinking like an analyst is the real skill.

What You’ll Learn in This Program

1. Python Foundations for Analysts

Python basics, data types, variables & control flow
Strings, lists, tuples, dictionaries & sets
Functions, lambdas, scopes & error handling
File handling & real-world debugging
Writing clean, readable analytics code

2. Data Handling & Core Analytics Skills

Working with real CSV & Excel data
Data cleaning & preparation techniques
Handling missing values & data quality issues
Transformations, filtering & conditional logic
End-to-end data analysis workflows

3. NumPy for Fast Data Operations

Arrays & vectorized computations
Indexing, slicing & broadcasting
Performance-oriented data processing

4. Pandas (Core of the Course)

Reading & writing data (CSV, Excel, SQL)
Data cleaning, transformation & feature creation
GroupBy, aggregations & KPI calculations
Merging, joining & reshaping datasets
Date-time analysis & real business use cases

5. Data Visualization with Python

Matplotlib fundamentals
Seaborn for analytical & statistical visuals
Choosing the right chart for the problem
Writing insights from charts (not just plotting)

6. Analytics Thinking

How analysts approach messy datasets
Common mistakes & how to avoid them
Performance awareness & best practices
When to use Python vs SQL vs BI tools

7. Real-World Case Studies & Projects

End-to-end analytics case studies
Business-style problem solving
Interview-ready project workflows

CLICK HERE FOR DETAILED SYLLABUS

Projects (Where Real Learning Happens)

Project 1: Python Skills Validation Project

You will:

Clean messy datasets
Fix broken code
Apply logic correctly
Prove you actually understand Python

This separates learners from doers.

Project 2: End-to-End Analytics Project (Portfolio Ready)

You will:

Understand a real business problem
Work with imperfect data
Perform analysis using Python
Write clear insights
Present analysis like a professional analyst

This is resume-worthy.

Bonus: Excel for Data Analysts (FREE)

Yes, Excel is included, and it will be taught LIVE — intentionally.

Why?

Most analysts start in Excel
Python becomes easier when mapped to Excel logic

You’ll learn:

Analytical thinking in Excel
Pivot → GroupBy mindset
IF logic → Python conditions
Structuring analysis correctly

This bonus alone saves you weeks of confusion.

👨‍🏫 Meet Your Instructor

Mr. Kalpesh Ghadigaonkar

Senior Analyst @ Comscore
7+ Years Experience | Educator to 1,000+ learners
Co-Founder of Data Analyst Duo
Known for making analytics easy to understand through practical, hands-on teaching that builds real confidence and job-ready skills.
Questions? Ask at dataanalystduo@gmail.com
LinkedIn Click Here

How to Register

Click the Register button
Complete payment
Get the instructions directly to your email
Receive Zoom links + study materials
Use code ‘DATA10’ for 10% discount

100% Money-Back Guarantee

Don’t like the session after Week 1? We’ll refund — no questions asked.

Check out the refund policy here 👇🏻

Refund Policy

Frequently Asked Questions

What is the duration of the course?

The boot camp is a four-week program with live classes conducted every Saturday and Sunday. Each session is three hours long and is structured to guide you from Python fundamentals to practical data analytics applications, step by step.

What are the class timings?

All live sessions are held on Saturdays and Sundays from 7:00 AM IST to 10:00 AM IST. The schedule is designed to be suitable for students as well as working professionals.

Will session recordings be available?

Yes, every live session is recorded and shared with participants within two hours after the class. You will receive lifetime access to all the boot camp recordings.

Do I need prior experience in data analytics or programming?

No prior experience is required to join this boot camp. The course is beginner-friendly and starts with foundational Python concepts before gradually moving to advanced data analytics topics.

What software or tools will I need for the boot camp?

Throughout the boot camp, you will primarily work with Python and Excel. You will need access to a computer or laptop, and all required software installation and setup will be guided during the program.

Are there any exams or assessments during the boot camp?

There are no formal exams in this boot camp. Instead, the learning approach focuses on hands-on exercises, regular assignments, and practical projects to help you apply concepts and build confidence.

Will I receive a certificate upon completion of the boot camp?

Yes, you will receive a Certificate of Completion after successfully completing all the assignments and projects included in the boot camp.

Will I receive any support or assistance during the boot camp?

Yes, continuous support will be provided throughout the program. You can ask questions during live sessions and also receive guidance and clarification through a dedicated WhatsApp support group.

What kind of projects will I work on during the boot camp?

You will work on real-world data analytics projects that simulate practical business scenarios. These projects are designed to help you apply the concepts taught in each section and showcase your ability to analyze and interpret data.

What career opportunities can this boot camp help with?

Data analytics skills are in high demand across industries. By completing this boot camp, you will build a strong foundation that can help you pursue roles such as Data Analyst, Business Intelligence Analyst, Statistical Analyst, Research Analyst, and other analytics-focused positions.