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Python Statistics Essential Training [Released: 8/17/2023]

Posted By: IrGens
Python Statistics Essential Training [Released: 8/17/2023]

Python Statistics Essential Training [Released: 8/17/2023]
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 39m | 392 MB
Instructor: Matt Harrison

The field of statistics has become increasingly dependent on data analysis and interpretation using Python. With the rise of big data and data science, the demand for professionals who can effectively analyze and interpret data using Python has skyrocketed. In this course, Matt Harrison teaches you how to collect, clean, analyze, and visualize data using the powerful tools of the Python programming language.

Join Matt as he gives into the various techniques that form the backbone of statistics and helps you understand the data with summary statistics and visualizations. He explains how to create predictive models using both linear regression andXGBoost, and wraps up the course with a look at hypothesis testing. If you’re interested in exploring statistics using a code-first approach, join Matt in this course as he shows you how to use Python to unlock the power of data.

Learning objectives

    Recognize the various data types (e.g., int, float, object, bool) that can be present in a pandas DataFrame.
    Identify scenarios where selecting specific data types can simplify data processing tasks.
    Discuss the advantages of using horizontal bar plots for displaying categorical data.
    Explore how transparency can indicate the density of data points in different regions of the plot.
    List the various methods available in pandas for reordering columns.
    Describe what a histogram is and explain its key components.


Python Statistics Essential Training [Released: 8/17/2023]