Unlock the power of Python for Data Science with this dual-language course tailored for learners who prefer Telugu and English. Whether you're a beginner or looking to advance your skills, this course offers:

• Step-by-step Learning: Master Python programming from the basics to advanced concepts.
• Practical Applications: Learn how to apply Python to real-world Data Science problems.
• Bilingual Teaching: Concepts explained clearly in Telugu and English for better understanding.
• Lifetime Access: Recorded sessions to learn at your own pace, anytime, anywhere.
• Projects and Case Studies: Work on practical projects that bridge theory with hands-on experience.

Start your journey in Data Science today with Python, the most in-demand skill in the industry!

Course Modules and Duration

1. Setting Up the Environment

• Class 1: Python Installation & Virtual Environment Creation – 48 min 12 sec

2. Introduction to Python & Programming

• Class 2: Programming Basics & Jupyter Notebook Overview – 57 min 15 sec
• Class 3: Introduction to Python and Programming – 59 min 15 sec

3. Core Python Concepts

• Class 4: Variables and Data Types – 41 min 57 sec
• Class 5: Indexing Concepts – 59 min 59 sec

4. Data Structures in Python

• Class 6: Lists (Part 1) – 51 min 48 sec
• Class 7: Lists (Part 2) – 55 min 12 sec
• Class 8: Tuples and Sets – 59 min 5 sec
• Class 9: Tuples, Sets, and Dictionaries (Part 1) – 50 min 56 sec

5. Comprehensive Python Overview

• Class 10: Python Content Discussion (Overview) – 37 min 4 sec

6. Conditional Statements and Loops

• Class 11: Conditional Statements & Loops (Part 1) – 56 min 47 sec
• Class 12: Conditional Statements & Loops (Part 2) – 1 hr 27 sec
• Class 13: Loops (Part 1) – 1 hr 12 min 38 sec

7. Python Refreshers

• Refresher (Part 1): Key Concepts Recap – 51 min 48 sec
• Refresher (Part 2): Quick Review – 16 min 6 sec
• Refresher (Part 3): Quick Review – 31 min 57 sec

8. Functions and Advanced Python Concepts

• Class 14: Functions – 10 min 28 sec
• Class 15: Lambda Functions & List Comprehensions – 39 min 44 sec