Mastering Exploratory Data Analysis (EDA) in Python | Hands-on-Coding | Project 1 Basics of Pandas

#Python #eda #pandas Welcome to our comprehensive video series, "Exploratory Data Analysis (EDA) Mastery," where we delve into the depths of data exploration using Python, Pandas, and NumPy. In this series, we embark on an immersive journey through various datasets, equipping you with the skills to extract meaningful insights and patterns from raw data. Each episode of this series is meticulously crafted to cover essential EDA concepts, from data cleaning and preprocessing to visualization and statistical analysis. Through hands-on coding sessions, we demonstrate practical techniques and best practices for performing EDA, empowering you to confidently tackle real-world datasets. Link to Template: https://colab.research.google.com/drive/1qSf0nWDI4Ek18M7EPeyPQ3bHFm9wVJT6?usp=sharing Dataset Link: https://drive.google.com/file/d/1P64VmSx52ByhBSRdWMugQacdebEnKsAI/view?usp=sharing Link to Solution: https://colab.research.google.com/drive/11NOnn6UO_ZCExgvvP-epgZBKAbFJvjwZ?usp=sharing Whether you're a beginner eager to grasp the fundamentals or an experienced data enthusiast seeking to refine your skills, our series offers something for everyone. Join us as we unravel the mysteries hidden within diverse datasets, unlocking the power of Python libraries to master the art of Exploratory Data Analysis. 🌐 Follow along with the timestamps below: 0:00 - Introduction 2:19 - Hands-on coding and download dataset 4:05 - Installing Libraries and basics 8:28 - Handling Missing Data 11:05 - Deleting Rows in Data 13:34 - Accessing Values in Data 17:37 - Sorting Data on Value 22:10 - Grouping and Pivoting Data 26:14 - Challenge 30:52 - Learning Points and Conclusion

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