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Ryan Phan

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  • Accounting information systems (AIS)
  • Application development
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LL Course 1: Getting Things Done

This course, “pandas Essential Training (2017),” covers the following key topics:

  • DataFrames and Series: Learn the basics of these fundamental data structures in pandas.
  • Data Input and Validation: Understand how to read data using read_csv(), and validate it using functions like shape, head(), tail(), and info().
  • Basic Analysis: Perform basic data analysis using functions such as value_counts(), sort_values(), Boolean indexing, and string handling.
  • Basic Plotting: Explore plotting techniques, different plot types, colors, figsize, colormaps, and Seaborn for basic plotting.
  • Indexing: Learn about indexing, including set_index(), reset_index(), sort_index(), and using loc[] and iloc[].
  • Grouping Data: Use the groupby function to group data and perform computations.
  • Reshaping Data: Reshape data using stack() and unstack().
  • Data Visualizations: Create heatmaps and custom colormaps.

The course includes practical exercises based on the Olympic medal winners’ dataset from 1896 to 2008, providing hands-on experience with the pandas library. CertificateOfCompletion_pandas Essential Training 2017

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