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Pandas in Python Series for Data Science | Day 4 | Data Science Full Course| Data Science in 30 Days
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Data Science in 30 Days | Data Science Full Course Free | #datascience #fullcourse - Pandas in Python Series for Data Science | Day 4 | Data Science Full Course| Data Science in 30 Days

Unlock Data Science Mastery in 30 Days: From Basics to Advanced Techniques with The Data Key! Dive Deep into Python, Visualization, Machine Learning, and More. Transform Your Skills with Expert Guidance and Hands-On Learning. Join Now!

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What you'll learn

Understand the fundamentals of data science and its application
Learn Python basics and key libraries like NumPy and Pandas for data analysis
Explore data visualization techniques using Matplotlib and Seaborn
Gain knowledge in statistical, probability, and calculus concepts for data science

This course includes

  • 5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

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Full Transcript

📌 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

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