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    Python for Data Science Essential Training Part 1

    Posted By: IrGens
    Python for Data Science Essential Training Part 1

    Python for Data Science Essential Training Part 1
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 6h 2m | 703 MB
    Instructor: Lillian Pierson, P.E.

    Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts—for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library. You should walk away from this training with basic coding experience that you can take to your organization and quickly apply to your own custom data science projects.

    Topics include:

    Why use Python for working with data
    Filtering and selecting data
    Concatenating and transforming data
    Data visualization best practices
    Visualizing data
    Creating a plot
    Creating statistical data graphics
    Performing basic math and linear algebra
    Correlation analysis
    Multivariate analysis
    Data sourcing via web scraping
    Introduction to natural language processing
    Collaborative analytics with Plotly


    Python for Data Science Essential Training Part 1