Description
Basic Python statistics tutorial. The field of statistics has become increasingly reliant on data analysis and interpretation using Python. With the development of big data and data science, the demand for professionals who can effectively analyze and interpret data using Python has increased. 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 introduces you to the various techniques that form the basis of statistics and help you understand data through summary statistics and visualization. He explains how to build predictive models using linear regression and XGBoost, and concludes the course with a look at hypothesis testing. If you’re interested in learning statistics using a code-first approach, join Matt in this course to show you how to use Python to unlock the power of data.
What you’ll learn in the Essential Python Statistics Course
- Loading and clearing data
- Data Exploration and Modeling
- linear regression
- Conducting statistical tests
- Data Normality Check
- AND…
Course details
- Publisher: LinkedIn
- Instructor: Matt Harrison
- Level of training: beginner
- Training duration: 2 hours 39 minutes.
Course headings
course images
Example video course
installation instructions
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English subtitles
Quality: 720p
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Password for file(s): www.downloadly.ir
size
319 MB