I am almost done with my statistics one class at Coursera.com. All I need to do is complete the final exam this week. I learned a great deal of statistics using the R programming language. I also completed a graduate class in statistics at Loyola Marymount University in California on teaching middle school statistics via R programming. I learned a great deal about the R programming language related to statistics and I continue to learn more about the R environment.
To get a better understanding of R programming, I have become interested in reviewing classes that I have taken in linear algebra and linear optimization. I found a great class on linear algebra online at MIT. This class is taught by Professor Gilbert Strang and all the lectures are online for anyone to view. In lecture one, Professor Strang explains these topics in an easy to understand way and he gives good complete examples on how to work with linear combinations using both row form and column form.
This linear algebra class at MIT is a great review for getting up to speed on matrix algebra. Today I completed the first lecture about using matrices and vectors and how they are used in a linear combination. I hope to go through all 34 videos over the course of the next few months.
From Professor Strang’s Linear Algebra book:
The century of data has begun! So many applications are discrete rather than continuous, digital rather than analog. The truth is that vectors and matrices have become the language to know.