Part-2: 100 Steps to Learn Pandas Practically!|#coding |#programminglanguage| #pandastutorial

📊 Pandas Mastery: Steps 5 to 9 - Selecting, Filtering, Cleaning, and Transforming Data!

Welcome to the next part of our Pandas series! In this video, we cover key steps to master data manipulation:

Step 5: Selecting Data 🎯 — Learn how to access and select specific rows, columns, and subsets of your DataFrame.
Step 6: Filtering Data 🌐 — Filter your data based on conditions to focus on the most relevant information.
Step 7: Data Cleaning 🧹 — Remove duplicates, handle missing values, and prepare your data for analysis.
Step 8: Data Transformation 🔄 — Transform data by applying functions to columns and entire DataFrames.
Step 9: Grouping & Aggregating 👥 — Use group by and aggregation techniques to derive insights from grouped data.
By the end of this session, you’ll have a solid understanding of how to manipulate and clean data efficiently using Pandas! Perfect for anyone looking to level up their data analysis skills. 📈

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