Free: Demo Lectures by AJ
Aditya Jain (AJ)
7 modules
English
Access for 2 days
Learn the most in demand Programming language for Free (only 5% of the original course)
Overview
Python Essentials – Your First Step into the World of Data Science & Analytics
- Are you ready to step into the future with Python?
- Whether you’re a complete beginner or a non-tech professional, mastering Python can transform your career.
Take Action Now!!
The demand for Python is exploding, and opportunities won’t wait.
Join the Python revolution today – the future is yours to code!
Key Highlights
🚀 Start from Scratch
🤖 Live Doubt Sessions (only with Paid course)
🌍 Downloadable Codes (only with the Paid course)
🌟 Future-Proof Skills
📊 Data Mastery
💡 Beginner-Friendly
⏳ Quick Learning
📈 Career Boost
What you will learn
📚 Basics & Data Types:
Learn Python’s core elements
➗ Operations:
Perform math and logical tasks effortlessly.
🔄 Control Flow:
Use if-else and loops (while, for, nested) for decision-making
🎨 Creative Patterns:
Code fun and unique visual patterns.
🔧 Functions:
Write reusable code for efficiency
📊 Data Structures:
Work with lists, matrices, and slicing to manage data.
Modules
Motivation , Roadmap & Platform Overview
3 attachments • 1 hrs
The ONLY Roadmap you need to get High Paying Jobs - Aditya Jain - Amazon -AIR 60 IIT Bombay| Dream11
Best Roadmap for Engineering Students | High Paying Jobs - Aditya Jain Ex- Amazon| IIT Bombay AIR60
Course Content
Interview Guidance (Sample)
5 attachments • 1 hrs
Highest Paying Jobs in 2025 by Ex-Amazonian and IIT Bombay - Aditya Jain - Founder NBT & Mentor
Life at IIT Bombay, VMware, Angelone, Upskilling, Data Analytics, Stock Market | Aditya & Kaushik
Inspiring Journey of AIR 9, IISc, IIT Bombay, NLP, Upskilling in Data Analytics - Aditya & Nihar
Part2- AIR 9, IIT Bombay, Future of AI, Interview tips, Upskilling, Data Analytics - Aditya & Nihar
Avoid getting Laid Off by following these 5 tips by an Amazonian & IIT Bombay person - Aditya Jain
Python Essentials - Demo Lectures
22 attachments • 2 hrs
Demo Lec 1.1 - Print
Demo Lec 1.2. Print Part-2
Demo 2.1. Datatypes
Demo 2.2. Type()
Demo 2.3. Variables
Demo 2.4. Variable naming rules
Demo 2.5. Input()
Demo 3.1. Arithmatic Operators
Demo 3.2 Floored Division Operator
Demo 3.6 Comparison Operators
Demo 4.2. if-else flow
5.5 - Interview Questions - 02
5.6 - Interview Questions - 03
6.2 - Interview Questions - 01
6.3 - Interview Questions - 02
6.4 - Interview Questions - 03
Lecture 13.11 - Strings Interview Questions Part-1 | Python Course by Data Scientist (IIT Bombay)
Lecture 13.12 - Strings Interview Questions Part-2 | Python Course by Data Scientist (IIT Bombay)
Lecture 8.1 - Loops - Pattern Printing 01
Lecture 8.2 - Loops - Pattern Printing 02
Lecture 8.3 - Loops - Pattern Printing 03
Lecture 8.4 - Loops - Pattern Printing 04
Advanced Python - Demo Lectures
12 attachments • 1 hrs
Lecture 4.1 - Lambda Functions Simplified
Lecture 4.2 - Maps Simplified
Lecture 4.3 - Interview Questions
Lecture 4.4 - Filter Simplified
Demo Lecture 4.5 - Reduce Simplified
Demo Lecture 4.6 - Higher Order Functions Part-1
Demo Lecture 4.7 - Higher Order Functions Part-2
Demo Lecture 6.4 - init in Object Oriented Programming
Lecture 6.6 - Inheritance in Object Oriented Programming
Lecture 6.7 - Method Overriding
Lecture 6.8 - Multi-level Inheritance in OOPs
Lecture 6.11 - Abstraction & Encapsulation in OOPs
SQL - Demo Lectures
14 attachments • 1 hrs
Interview FAQs - SELECT keyword | | Ex- Amazon Aditya Jain
Interview Series: SELECT keyword | Demo Lect 3.2
Interview Series: WHERE keyword | Demo Lect 5.1
Interview Series: WHERE keyword | Demo Lect 5.2
Interview Series: WHERE keyword | Demo Lec 5.3
Interview Series: COUNT keyword | Demo Lec 6.4
Interview Series: ORDERBY keyword | Demo Lec 7.1
Interview Series: ORDERBY keyword | Demo Lec 7.2
Interview Questions: ORDERBY keyword | Demo Lec 7.4
Interview Series: CASE WHEN keyword | Demo Lec 5.3
Interview Series: CASE WHEN keyword | Demo Lec 8.3
Interview Series: GROUP BY keyword | Demo Lec 9.1
Interview Series: GROUP BY keyword | Demo Lec 9.2
Simplest Explanation to HAVING keyword | Ex- Amazon | Demo Lec 10.1
Numpy - Demo Lectures
16 attachments • 1 hrs
Numpy Interview Questions 1.1 - Getting Started with Numpy
Numpy Interview Questions 1.2 - Numpy arrays vs Python lists
Numpy Interview Questions 2.1 - Creating Numpy arrays
Numpy Interview Questions 2.2 - Basics of Numpy arrays
Numpy Interview Questions 4.1 - Indexing in Numpy arrays
Numpy Interview Questions 5.1 - Multi-indexing in Numpy
Numpy Interview Questions 6.1 - Slicing Numpy arrays
Numpy Interview Questions 7.1 - Masking in Numpy arrays
Numpy Interview Questions 8.2 - Aggregation Functions
Numpy Interview Questions 10.1 - Sorting Numpy arrays
Numpy Interview Questions 10.2 - Sorting 2D Arrays
Numpy Interview Questions 10.3 - Argsort
Numpy Interview Questions 13.1 - Matrix Multiplication
Numpy Interview Questions 13.2 - Matrix basics for Numpy
Numpy Interview Questions 14.1 - Numpy Important Concepts
Numpy Interview Questions 14.2 - Important Concepts Analytics
Pandas - Demo Lectures
18 attachments • 1 hrs
Pandas Interview Questions: 4.1 - Aditya Jain | Ex-Amazon | Ex-Dream11 | AIR 60 IIT Bombay | NBT
Interview Ques: 4.2 - Column Operations
Interview : 4.4 - Column Operations -2
Interview : 4.5 - Pandas Dataframes
Interview :4.6 - loc & iloc in Pandas
Interview : 5.2 - sorting in Pandas
Interview : 5.3 - Handling Missing data
Interview: 5.4 - Dropping missing data
Interview : 5.5 - fillna in Pandas
Interview: 6 1 : Merge ,Join in Pandas
Interview: 7 1 : Grouping in Pandas
Interview: 7 2 : Grouping & Aggregation in Pandas
Interview: 7 3: Group based Filtering in Pandas
Interview:8.1: Cut & Bucketing data in Pandas
Pandas Interview: 10.1 Industry Case-study-01
Pandas Interview: 10.2 Industry Case-study-02
Pandas Interview: 10.3 Industry Case-study-03
Pandas Interview: 9.4 Cross tab in Pandas
FAQs
🤔 Do I need prior coding experience?
No prior experience is needed. We start from the basics and guide you through each concept step-by-step.
⏳ How long will it take to finish the course?
Most students complete it in 3-4 weeks at their own pace, but you can take as long as you need.
📚 Can I revisit the course material after finishing it?
Yes, you get lifetime access to the course content and any future updates.
👨💼 Is this course suitable for non-technical people?
Absolutely! This course is specifically designed for beginners with no tech background.
🖥️ What do I need to start the course?
Just a computer with internet access – we’ll guide you through the setup process.
🛠️ What if I get stuck during the course?
You’ll have access to support through the course platform, where you can ask questions and get help.
About the creator
Aditya Jain (AJ)
Aditya Jain, an IIT Bombay alumnus and AIR 60 in GATE, is a former Data Scientist at Dream11. He has taught and mentored over 10,000 professionals, helping them upskill and accelerate their hiring journey.
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