Скачать или смотреть pandas full crash course for data analysis in Hindi

🐼 Complete Pandas Course – From Basics to Advanced (in English/Urdu)
Duration: Approx. 6 Hours

🎯 Course Description:
This is a complete, hands-on course to master Pandas, the most powerful Python library for data analysis and data manipulation. Whether you're a beginner in Python or someone looking to enhance your data analysis skills, this course will guide you from the basics of Series and Dataframes to advanced data operations, including grouping, merging, and real-world projects.

With clear explanations, practical examples, and a focus on real-life scenarios, you’ll gain the confidence to handle data like a pro!

📅 Course Duration: ~6 Hours (Finish in 3–5 Days)
📚 Course Structure & Time Breakdown:

Module Topic Duration
1️⃣ Introduction to Pandas & Setup 15 mins
2️⃣ Pandas Series Explained 30 mins
3️⃣ Pandas DataFrame in Depth 45 mins
4️⃣ Reading & Writing Files (CSV, Excel, JSON) 30 mins
5️⃣ Data Selection, Filtering, and Slicing 40 mins
6️⃣ Handling Missing and Duplicate Data 30 mins
7️⃣ Sorting, Renaming, Resetting Index 30 mins
8️⃣ GroupBy and Aggregations 40 mins
9️⃣ Merging, Joining, Concatenation 30 mins
🔟 Real-World Data Cleaning Project 45 mins
✅ What You’ll Learn:
What is Pandas and why it’s used

Creating and manipulating Series and Dataframes

Reading/writing data from files (CSV, Excel, etc.)

Cleaning, filtering, and analyzing data

Combining datasets using merge and join

Grouping and aggregating data

Handling missing values and duplicates

Working on real-life data projects

👨‍🏫 Who is This Course For?
Beginners in Python or Data Science

Students of AI and Machine Learning

Freelancers, YouTubers, and Researchers

Anyone who works with data and wants to analyze it efficiently
for any question you can directly contact us :
Email: [email protected]
phone: 03151095812
Git hub link: https://github.com/Ameergul76
linked in link: https://www.linkedin.com/in/ameer-gul...

Kaggle link: https://www.kaggle.com/code/ameergul1...
for practice dataset ::: https://www.kaggle.com/ameergul1234