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Data_Analysis_with_Python

Fourth workshop in a series of five Python workshops.

Building on topics of the "Introduction to Python Part 1 and 2" and "Intermediate Python" workshops. Basic knowledge of Python or attendance these workshops is strongly recommended.

Data Analysis with Python

  • Hands-on working on a data file with Pandas and Numpy

    • Creating a Dataframe object
    • Exploring a Dataframe (columns, datatypes, shape etc)
    • Dataframe and Series slicing and indexing
    • Querying Dataframes
    • Running statistics on Dataframes
    • Grouping and aggregating Dataframes
  • Future Topics

  • Helpful hints & resources

Note: Please click 'launch binder' button below to launch the Binder. A Binder is an interactive environment that allows you to run code in the web browser without any need for installations.
Please click 'Open in Colab' button below to launch the notebook in Google Colab for an interactive environment in the web browser.

Binder

Open In Colab

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Fourth workshop in a series of five Python workshops.

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  • Jupyter Notebook 98.9%
  • Python 1.1%