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University of Michigan

Statistics with Python

University of Michigan via Coursera Specialization

Overview

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.

Syllabus

Course 1: Understanding and Visualizing Data with Python
- Offered by University of Michigan. In this course, learners will be introduced to the field of statistics, including where data come from, ... Enroll for free.

Course 2: Inferential Statistical Analysis with Python
- Offered by University of Michigan. In this course, we will explore basic principles behind using data for estimation and for assessing ... Enroll for free.

Course 3: Fitting Statistical Models to Data with Python
- Offered by University of Michigan. In this course, we will expand our exploration of statistical inference techniques by focusing on the ... Enroll for free.

Courses

Taught by

Brady T. West, Brenda Gunderson and Kerby Shedden

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