[ FreeCourseWeb ] Packt - Fundamentals of Statistics and Visualization in Python- Learn to display your data using Python's visualization tools

[ FreeCourseWeb.com ] Fundamentals of Statistics and Visualization in Python: Learn to display your data using Python's visualization tools

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h264, yuv420p, 1920x1080 |ENGLISH, aac, 48000 Hz, 2 channels | 6h 28 mn | 744.96 MB
Instructor: Karen Yang
Leverage the power of Node.js 12 to build RESTful apps
Learn

Basic concepts in statistics and data visualization
Use Python data visualization tools to perform data visualization
Apply probability to statistics with the use of Bayesian Inference, a powerful alternative to classical statistics
Calculate and build confidence intervals in Python
Run basic regressions focused on linear and multilinear data
Run hypothesis tests and perform Bayesian inference for effective analysis and visualization
Apply probability to statistics by updating beliefs

About

Statistics and visualization in Python can be applied to a wide variety of areas; having these skills is crucial for data scientists. In this course, we explore several core statistical concepts to utilize data; construct confidence intervals in Python and assess the results; discover correlations; and update your beliefs using Bayesian Inference.

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

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