MATLAB has many different uses for different types of statistical analysis. In this course, Performing Statistical Analysis with MATLAB, you’ll gain the ability to analyze and model standard datasets. First, you’ll explore summary statistics. Next, you’ll discover how probability distributions are defined for our course dataset. Then, you’ll see how models and curve fits can be tailored to accurately describe data. Finally, you’ll learn how to use industrial statistics for advanced analysis like durability analysis, process control and design of experiments. When you’re finished with this course, you’ll have the skills and knowledge of MATLAB needed to analyze standard datasets containing numeric, integer and categorical variables.
Author Name: Martin Burger
Author Description:
Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.

Table of Contents

• Course Overview
  1min
• Using MATLAB for Statistical Analysis
  33mins
• Understanding Statistical Probability Distributions
  23mins
• Fitting and Interpreting Curves
  28mins
• Performing Advanced Statistics in MATLAB
  34mins