explanation
It contains the name of a new era of practical statistical thinking for everyone, including statistics through Python specialization, Python for image storage, and statistics. Inference and modeling are used. This collection is designed for learners and more. Provides basic and intermediate analysis concepts, statistics using programming language Python training. Learners will learn where data comes from, the types of data that can be collected, and continue to learn about design data, data management, how to explore data, and how to store images. Additionally, learners will be able to use data to estimate and evaluate game theory, construct confidence intervals, handle inference results interpretation and implementation, modeling, perform advanced statistics, and finally, how to communicate and understand the significance of the game. . Considering that we learn to understand, we use statistical and analytical methods to study questions.
Statistics collection through the Python specialization allows you to:
- Construct and interpret visualizations of data using the programming language Python and associated packages, books, and assumptions.
- Implementation and interpretation, processing, and inferential statistics for real-world data analysis.
- Technology, modeling, application of statistical data (regression, logical and linear models, linear models, multilevel and Bayesian inference techniques)
- Understand the importance of relational questions, research methods, and data analysis
Specification Volume:
Publisher: Coursera
teacher: Brenda Gunderson, Brady T. West ,and Kirby Shedden
Language:English
Learning level: Introductory
Number of courses: 3
Courses included in the Statistics Set for the Python Specialization:
precondition:
High school level algebra is the only background required for the first course in the series. Basic, Python and/or coding background is recommended.
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installation manual
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Subtitles: English and other languages
Quality: 720
This set includes 3 different courses.
The 2024/3 version has no changes in the number of courses and their duration compared to the 2021/2 version. 170 text files were added.
download link
Fit a statistical model to data using Python
Inferential statistical analysis using Python
Understand and visualize data with Python
Password file: free download software
file size
2.88GB