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fix: rename tensorflow lessons (#38617)
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@@ -5,4 +5,7 @@ superBlock: Data Analysis with Python
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## Introduction to the Data Analysis with Python Course Challenges
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<dfn>Data Analysis with Python Course</dfn> Placeholder Introduction.
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Learn Data Analysis with Python in this comprehensive tutorial. Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.
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In these lectures, create by Santiago Basulto from RMOTR, you will learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
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Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.
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@@ -5,4 +5,4 @@ superBlock: Data Analysis with Python
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## Introduction to the Numpy Challenges
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<dfn>Numpy</dfn> Placeholder Introduction.
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Learn the basics of the NumPy library with the following lectures created by Keith Galli. They provide background information on how NumPy works and how it compares to Python's Built-in lists. They go through how to write code with NumPy, creating arrays, indexing, math, statistics, reshaping, and more!
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