Python for Data Science Tips, Tricks, and Techniques/ with Ben Sullins.
- Format:
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- Author/Creator:
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- Contributor:
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- Language:
- English
- Genre:
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- Instructional films.
- Educational films.
- Physical Description:
- 1 online resource
- Place of Publication:
- Carpenteria, CA: linkedin.com, 2022.
- System Details:
- Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
- Summary:
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- Explore a series of tips and tricks that you can put into practice to improve your skills in Python.
- Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data-from ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations.
- Participant:
- Presenter: Ben Sullins
- Notes:
- 12/02/2022
- Access Restriction:
- Restricted for use by site license.
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