Statistics with Python

About this Specialization

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.

Created by: University of Michigan


Related Online Courses

This exciting online course helps you understand design methods and how to use them to identify business opportunities. It starts by focusing on the importance of design in a changing world by... more
This specialization is a three course sequence that will cover the main topics of undergraduate linear algebra. Defined simply, linear algebra is a branch of mathematics that studies vectors,... more
This is a self-paced lab that takes place in the Google Cloud console. Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores... more
In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic... more
Acute stroke is a time-dependent medical emergency. In acute ischemic stroke, the first objective is to restore brain flow using sistemic thrombolytic treatment and, in patients with large vessel... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL