Community Resources — Baig Academy

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Baig Academy · Community Hub

Practical resources.
Built for people who are
serious about data science.

Sessions, challenges, cheat sheets, and real datasets — curated and shared for the community. And for those ready to go further, Cohort 2 is open at an exclusive community rate until April 25.

Explore resources ↓ View Cohort 2 — €200

Thousands of learners across the globe

16 Years in AI & Data Science

3× Published Author

Zalando · Flipkart · ZS

Community Resources

Real skills. Real data. Real problems.

Everything below has been built with one goal — to give you something genuinely useful, not a watered-down preview.

Watch & Learn

YouTube · Session 1

Session 1 — Foundations

Your first Python program, built the right way. Covers pseudocode, data flow diagrams, pandas, pivot tables, and a complete end-to-end analysis — all in one session.

Pseudocode Pandas Data Analysis

Watch Session 1

YouTube · Session 2

Session 2 — Core Concepts

Going deeper. Variable types, conditionals, strings, lists, and dictionaries — all taught through a real case study, not isolated theory.

Conditionals Data Types Case Study

Watch Session 2

Webinar Recording

ML Model Webinar

Core machine learning concepts applied to real data — not just theory. Watch how sklearn models are introduced, trained, and evaluated step by step.

Machine Learning sklearn Real Data

Watch Webinar

Challenges & Materials

Challenge + Dataset

1-Week Python Challenge

A structured data challenge built on 155,000+ real salary records. Exactly the format used inside the course — a problem, a dataset, and your logic to solve it.

Real Dataset EDA Problem Solving

View Challenge View Dataset

Challenge

API Challenge

Call real-world APIs — including the OpenAI API. A skill the vast majority of Python courses skip entirely, and one of the most in-demand in modern data roles.

APIs OpenAI requests

Access Challenge

Material

Pseudocode → Python Cheat Sheet

The logic-first approach at the core of this course. Plan in plain English before you write a single line of Python. Includes a real salary dataset line to practice immediately.

Pseudocode Python Logic Data Science

View PDF View Dataset

Cohort 2 · In Progress

Session 1 is done.
The results speak.

Students brought their own problem formulations on Day 1 — real-world, not textbook

A complete analysis was built and presented in the very first session

Peers from across the globe — structured solutions, hands-on, accountable

Covered: pseudocode, data flow, pandas, pivot tables, plotting — and a dashboarding technique most never encounter

"This is the future of learning — do things, and learn in the process. Don't wait months before you can get started with analysis."

You can still join. A dedicated recap session is available for everyone who enrols now.

Cohort 2 · Live — Session 1 completed · More sessions ongoing

Going further

These resources are chapter one.
The course is the full journey.

Everything shared above gives you a taste of the approach. The full cohort is 8 structured weeks with mentorship, projects, and accountability.

Community Resources	Cohort 2 — Full Course
2 full sessions (from course)	8 structured live sessions
1 standalone challenge	3 portfolio projects, end-to-end
Self-guided, no feedback	Weekly 1:1 mentorship with Rahim
No certificate	Certificate of completion
Open access	Maven guarantee — full refund through Week 2

Cohort 2 · Community Rate

An honest discount
for the community.

This rate is exclusively for members of our community — and it closes when enrolment closes on April 25. No re-runs, no extensions.

€250 ^€200

Special community price · €200

Live sessions every Sunday with Mirza Rahim Baig — interactive, not pre-recorded
Real salary data, real APIs, real ML models — no toy examples throughout
1:1 mentorship for your capstone project — personal guidance, not generic feedback
Lifetime access to all recordings and course materials
Certificate of completion — shareable on LinkedIn and with employers

Maven guarantee — full refund available through Week 2. No questions asked.

Enrolment closes in

00Days

00Hours

00Mins

00Secs

          Discount code
          earlybirdbaig
        

Enrol at €200 — closes Apr 25

Apply code earlybirdbaig at checkout on Maven · Full refund through Week 2

Alumni Reviews

What Cohort 1 said.

"Refreshing and well designed. Even with prior Python experience, I found the topics around APIs and machine learning particularly clear and well explained. I would highly recommend this course."

"Theory combined with hands-on practice, making it easy to apply concepts immediately to real-world datasets. By the end I felt confident in data cleaning, visualisation, and statistical analysis. This course has definitely opened the door to tackling more complex data projects."

"It does not follow the conventional method to learn Python. It is designed so that you self-learn how to code in the process — relevant modules are taught progressively, and Generative AI is incorporated in a way that makes this course genuinely different."

Your Instructor

Mirza Rahim Baig

AI Leader · GenAI Startup Mentor · 3× Published Author

16 years building and leading data science and AI functions across some of the world's most data-intensive companies. Teaches the way he wished he was taught — logic first, practical always, no shortcuts that don't hold up on the job.

Zalando Flipkart ZS Associates 3× Author GenAI Mentor

contact@baigacademy.ai

Questions

Common questions answered.

Are these resources always available, with no sign-up required?

Yes — everything above is available directly, no registration required. The resources are a genuine contribution to the community and will remain accessible.

What does the full course include that the resources don't?

The full Cohort 2 includes 8 structured live sessions, three end-to-end portfolio projects, weekly 1:1 mentorship with Rahim, a peer cohort holding you accountable, lifetime access to all recordings, and a certificate of completion. It's the structured, mentored journey — not self-guided exploration.

I work full-time — is the time commitment realistic?

Yes — the course is designed for working professionals. Expect 2 hours of live session each Sunday, plus 4–6 hours on assignments and projects. All sessions are recorded, so you won't fall behind if a session clashes with your schedule.

What if the course isn't right for me?

Cohort 2 is backed by the Maven Guarantee — you're eligible for a full refund through the second week of the course, no questions asked. You have time to experience it before fully committing.

Stay in the community.

The next resource, session update, or community discussion happens there first. Join the WhatsApp group — no obligations, just the conversation.

Join the WhatsApp Community

Practical resources.Built for people who areserious about data science.

Real skills. Real data. Real problems.

Session 1 is done.The results speak.

These resources are chapter one.The course is the full journey.

An honest discountfor the community.