Udemy
UdemyStatistics with MATLAB
4.5(122)8k studentsALL LEVELSEnglish
Korshub's take
Statistics, Taught Through MATLAB's Own Tools
This course covers core statistical methods using MATLAB's built-in functions, starting from the basics of vectors, matrices, and cells before moving into tables, distributions, and formal hypothesis testing. It's a functions-first approach — you learn statistics by running the actual commands.
Who It's For
Learners at any level who want to apply statistical methods in MATLAB rather than by hand or in a separate stats package.
Key Takeaways
- Density functions and cumulative distribution functions in MATLAB
- Visualizing data with histograms and boxplots
- Hypothesis testing using ztest, ttest, and vartest functions
- Analysis of variance (ANOVA) and linear/non-linear regression models
The course closes with generating random data and running simulations, tying the statistical concepts back to practical, code-driven analysis.
About this course
In this course, statistic subjects will be covered using MATLAB. We will start with the explanation of vectors, matrices and cells, then proceed with the tables which is an important subject in statistics. Density functions and cumulative distribution functions will be explained. Histograms and boxplots use in MATLAB will be explained by examples. We will consider Hypothesis tests using MATLAB functions ztest, ttest, vartest. Analysis of variance, and multivariate analysis of variance will be studied using MATLAB. Linear and non-linear regression models will be covered. Generation of random data for definite densities and simulation using random data is the last topic to be covered in this course.
Price
Advertisement
