Data Analysis with Pandas: Finding Top-Rated Movies โ€” WalkSelf
โฑ 2 oras 30 min ๐Ÿ“š 25 aralin ๐ŸŽง Audio version

Data Analysis with Pandas: Finding Top-Rated Movies

Learn to load, clean, merge, and analyze real-world datasets using Pandas to uncover top-rated films and media trends.

  • ๐Ÿ’ฌ AI instructor
    Magtanong tungkol sa anumang aralin at makakuha ng malinaw na sagot agad, anumang oras.
  • ๐Ÿ• Magsimula anumang oras
    Walang iskedyul o deadline โ€” mag-aral sa sarili mong bilis, kahit kailan.
  • ๐ŸŒ Sa Filipino
    Mga aralin, gawain at sertipiko โ€” lahat ay ganap na nasa wika mo.

Tungkol sa kursong ito

Data is everywhere, but turning raw text files into actionable insights is where the magic happens. Analyzing movie ratings is the perfect way to master the fundamentals of data manipulation with Python. This course guides you from absolute beginner to confidently manipulating datasets using Python and Pandas. You will learn to load raw text files, merge multiple data sources, and aggregate information to find trends. What you'll learn: 1. Learn the foundational concepts of DataFrames and Series in Pandas. 2. Read and parse plaintext and CSV data formats efficiently. 3. Merge and join separate datasets using relational keys. 4. Group and aggregate data to calculate average ratings and vote counts. 5. Sort and filter results to extract top-performing items. 6. Apply modern Pandas coding practices, including method chaining and clean syntax. Starting with basic terminology and data structures, you will progress through step-by-step written tutorials that show you how to clean, combine, and analyze movie data. This course is designed for beginners with basic Python knowledge who want to enter the world of data analysis. No prior data science experience is required. Start reading today to unlock the power of data analysis with Pandas.

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  • ๐ŸŽง Kasama ang audio version
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  • โ™พ๏ธ Lifetime access
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  • ๐Ÿ“ฑ Telepono o computer
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  • ๐Ÿ’ธ 14-day refund
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  • โšก Maikli at focused
    2 oras 30 min ng practical content

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