pandas full crash course for data analysis in Hindi скачать в хорошем качестве

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