Complete Pandas Data Science Tutorial - Reading CSV , Missing Values, Filtering, Groupby, Plotting..
📊 Ready to master data analysis with Python? This complete Pandas tutorial will take you from beginner to confident data scientist! Whether you're starting your data journey or need a solid refresher, I'll walk you through everything step by step.
WHAT YOU'LL LEARN:
✅ Create Pandas Series and DataFrames from scratch
✅ Read and import CSV files like a pro
✅ Master data selection, filtering, and indexing techniques
✅ Handle missing values and null data effectively
✅ Perform powerful GroupBy operations for insights
✅ Create beautiful data visualizations and plots
✅ Apply real-world data science workflows
⏱️ CHAPTERS:
0:00 - Introduction to Pandas for Data Science
2:02 - Setting Up Jupyter Lab Environment
3:05 - Series vs DataFrames Fundamentals
6:06 - Reading CSV Files with Pandas
8:09 - Data Selection and Indexing Methods
11:13 - Filtering Data with Conditions
13:14 - Handling Missing Values and Nulls
17:18 - GroupBy Operations and Statistics
20:19 - Basic Data Visualization and Plotting
🔗 PRACTICE THIS PROBLEM:
https://www.hackerrank.com/challenges...
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Make sure to include this link prominently so viewers can easily find and practice the problem!
📚 ADDITIONAL RESOURCES:
💻 Jupyter Notebooks & Data Files: https://drive.google.com/drive/folders/
🐼 Official Pandas Documentation: https://github.com/pandas-dev/pandas
📊 More Data Science Tutorials: Check out my playlist!
CONNECT WITH ME:
💼 LinkedIn: / amircharkhi
📸 Instagram: / ai.tech.institute
🌐 Website: https://www.aitechinstitute.com.au
🎁 Support: / amircharkhi
💻 GitHub: https://github.com/wvlt
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#Pandas #DataScience #Python #DataAnalysis #MachineLearning #Programming #Tutorial
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