Are you afraid to start?
Not sure where to begin with Python?
Feeling lost in a jungle of syntax and jargon?

You're not alone — but you're in the right place.
This guide is built for absolute beginners, designed to transform you step by step into someone who can confidently tackle Data Science with Python.

• 🧑‍🎓 Students starting from zero
• 👩‍💻 Career switchers eyeing Data Science
• 🧠 Self-learners needing structure
• 👀 Anyone tired of vague tutorials and wants a clear roadmap

• Day 1 – Python Basics
• Day 2 – Type Casting & Conditionals
• Day 3 – Loops
• Day 4 – Strings & String Functions
• Day 5 – Practice Day & Warm-Up Problems

• Day 6 – Lists
• Day 7 – Tuples
• Day 8 – Dictionaries
• Day 9 – Sets

• Day 10-Funtions
• Day 11-Funtions Part 2

• Day 12-OOPS part 1
• Day 13-OOPS part 2 WIth MODULES

• Day 13-OOPS part 2 WIth MODULES

• Loops Practice
• Warm-Up Problems
• List Comprehension Practice
• Set Challenges

Just follow along, one day at a time:

• Day 1 → Basics
• Day 2 → Conditional Logic
• Day 3 → Loops
• ...
• 💡 Practice tasks and mini-challenges included!
• 🧠 DSA with Python included for coding interviews.
• 🧪 Real Data Science problems in later sections!

✅ Structured Day-by-Day Plan
✅ Real Practice Problems
✅ Builds Confidence
✅ Takes You All the Way to Data Science
✅ Written by a learner, for learners

👉 Start with DAY 1 in the BASICS folder.
Don’t rush. One day at a time.
You’ll be amazed at where you are in just a few weeks!

"Doubt kills more dreams than failure ever will."
Take the first step — you have nothing to lose and everything to gain.

Let’s do this together! 🚀