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📌 Day 4 of "The Complete Data Science in 30 Days" – Pandas in Python Welcome back to our series! 🚀 Today, we dive deep into Pandas, one of the most powerful libraries for data manipulation and analysis in Python. 👉 In this video, you’ll learn: • Introduction to Pandas • DataFrames and Series explained • Importing and exporting data (CSV, Excel, SQL) • Indexing, selecting, filtering, and sorting • Handling missing values • GroupBy, Aggregations, and Merging datasets • Real-life examples with datasets By the end, you’ll be confident in handling and transforming datasets using Pandas. ------------------------------------------------------------------------------------------------------------------------- 🔗 Official Documentation & Resources: 🔸Pandas Docs: https://pandas.pydata.org/docs/ 🔸Pandas User Guide: https://pandas.pydata.org/docs/user_guide/index.html 🔸Pandas Cheat Sheet: https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf 🔸Kaggle Pandas Course (Free): https://www.kaggle.com/learn/pandas 🔸Real Python Pandas Tutorials: https://realpython.com/learning-paths/pandas/ 🔸DataCamp Pandas Tutorial: https://www.datacamp.com/tutorial/pandas-tutorial-dataframe-python 🔸Pandas GitHub Repository: https://github.com/pandas-dev/pandas 📊 Datasets for Practice: 🔹Kaggle Datasets: https://www.kaggle.com/datasets 🔹UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php ------------------------------------------------------------------------------------------------------------------------- 💡 Don’t miss the complete playlist: https://youtube.com/playlist?list=PL07H6FsxVmmwoYzMdi2TEcb2Q6hQ0g-EV&feature=shared 👉 Subscribe to The Data Key and hit the 🔔 to follow along with the 30 Days Data Science Series: https://youtube.com/@The_Data_Key ------------------------------------------------------------------------------------------------------------------------- OUTLINE: 00:00:00 : Introduction to Pandas and Data Science 00:00:10 : Introduction to Pandas and Data Science - Examples 00:01:21 : Loading and Exploring Data 00:03:07 : Understanding DataFrames and Data Exploration 00:04:52 : Selecting and Filtering Data 00:06:30 : Advanced Data Operations 00:09:03 : Practical Applications and Conclusion ------------------------------------------------------------------------------------------------------------------------- #pandas #python #datascience #machinelearning #thedatakey #learnpython #dataanalytics #machinelearningfullcourse #bigdata #deeplearning #artificialintelligence #ai #datavisualization #key #data #keyboard #keychain #foryou #datasciencewiththedatakey #learnwiththedatakey #newvideo #youtubevideo #youtubechannel #subscribe
