𝐂𝐥𝐚𝐬𝐬 𝟐: 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐚𝐧𝐝𝐚𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 | 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐃𝐀 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞 | 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐂𝐥𝐚𝐬𝐬 𝟐 𝐨𝐟 𝐨𝐮𝐫 𝐜𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐃𝐀 𝐜𝐨𝐮𝐫𝐬𝐞!

In this video, we dive deep into Pandas, the powerful Python library for data manipulation and analysis. Whether you're a beginner or looking to refine your skills, this class will equip you with the essential tools to handle, analyze, and manipulate data like a pro.

🔍 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐋𝐞𝐚𝐫𝐧:

1. Introduction to Pandas: Understanding its role in data analysis
2. Series and DataFrames: Core components of Pandas
3. Data Cleaning: Handling missing data and outliers
4. Data Transformation: Filtering, sorting, and grouping data
5. Practical Examples: Step-by-step coding demonstrations
6. Advanced Techniques: Merging, concatenating, and reshaping data

📈 𝐖𝐡𝐲 𝐏𝐚𝐧𝐝𝐚𝐬?

Pandas is the backbone of data science and analytics in Python. It allows you to efficiently manage and analyze large datasets, making it an essential tool for anyone pursuing data analytics, data science, or machine learning.

📝 𝐂𝐨𝐮𝐫𝐬𝐞 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞:

This video is part of our "Exploratory Data Analysis (EDA) with Python" series, designed to take you from basics to advanced EDA techniques. Don't forget to watch Class 1 if you haven't already!

🚀 Next Steps:

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