You can learn a lot of math with a bit of coding.

Mathematical programming gives you tools for learning, exploring, and discovering applied mathematics in areas including statistics, data science, and signal processing. This is why I use a combination of traditional instruction (lecture slides, words, diagrams) and hands-on programming in MATLAB and Python when teaching.





You can enter the discount code 202309 to get a discount on any of my Udemy courses (this code is embedded in all direct links on this page).



You can enter the discount code 202309 to get a discount on any of my Udemy courses (this code is embedded in all direct links on this page).




Code files for the linear algebra and calculus courses are also available on my github.




Code files for the theory/intuition and data science books are available on my github.
The data science book also has YouTube videos for each code exercise (all 117 of them!).








Code files for the neural time series book are available on my github.
Code files for the Fundamentals book are available from this zip file.



You can enter the discount code 202309 to get a discount on any of my Udemy courses (this code is embedded in all direct links on this page).




Code files for the Onramp course are available on my github. Code files for other courses listed above are inside the course pages.




Code files for the book are here, and solutions to all coding exercises are in this zip.





Visit this site for information about the 2023 courses. The same courses will be offered in summer 2024. I'll post information about those courses in the winter, but the overall structure of the courses will be the same as in 2023.

Adapted and maintained by Mike X Cohen. Original design: html5up.

Sincxpress Education SRL is registered in Romania with CIU/CIF 46732489.