Inferential Statistical Analysis with Python

Add to Favourites
1 1 1 1 1
Price: 6878 EUR 6878 EUR
Contact University of Michigan

More details about the program

Description

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately. At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.

Specific details

Category of Education Computer Sciense and IT

Comments (0)

There are no comments posted here yet

Leave your comments

Search

Related Programs

The Degree in Computer Science seeks to meet the d ...
In a quest to understand how video games themselve ...
Learn the general concepts of data mining along wi ...
This course is an introduction to using the Web fo ...

 

©2023 EDUCOM NET. All Rights Reserved.

If you find an inaccuracy or you have comments on the description of the university or program - please let us know info@educom.net