Mathematics For Data Science And Machine Learning Using R

Data science has undeniably emerged as one of the most significant fields in the modern world. Everyone needs it, whether they work in banking, healthcare, or business. There is a sharp rise in demand for data science expertise globally.

Taking all of these factors into account, we created this online course that teaches you all of the data science math, including the R programming language. The R programming language was developed specifically for data analysis, superior statistical performance, and graphical representation.

Although there are currently many tutorials on data science, this online course is a unique guide with hand-picked topics centered around data science. It contains some of the key ideas of basic mathematics needed for data research using the R programming language.

You can study a variety of themes with more than 9 hours of video lectures by Timothy Young, a seasoned statistician and data scientist. He makes sure the learners understand every mathematical concept underlying data science simply and effectively.

This course includes:

1. Introduction - Data Science, Machine Learning & R Programming Language

2. Linear Algebra - Scalars, Vectors & Matrices

3. Section Calculus - Function & tangent Lines, Derivatives

4. Vector Calculus -

   • Orthogonal Vectors and Linear Independence

   • Eigenvectors and Eigenvalues

   • Vectors Gradient Descent, and so much more!

It is obvious that data science is growing in importance for both developers and industries, which is driving up demand for professionals. If, like many others, you are having trouble understanding all of the mathematical ideas behind data science, now is the perfect moment and this online training is the perfect course for you!