Master R for Statistics and Data Science

This comprehensive R course starts from the very basics, covering vectors, matrices, data frames, and more, ensuring a solid foundation for beginners.

Start your journey to becoming an R expert today!

Key Features:

• Learn R from scratch with a step-by-step approach

• Hands-on exercises for practical experience

• Understand data structures and data manipulation in R:

  • Vectors

  • Matrices

  • Data frames

  • Lists

  • Subsetting data

  • apply() functions on matrices

• Learn about probability distributions and R’s tools for probability.

  • r functions for generating random variables

  • d functions for finding the probability of single events

  • p functions for finding cumulative probabilities

  • q functions for finding percentiles

• Learn about common probability distributions commonly used in data science, including the binomial, geometric, exponential, normal, Poisson, gamma, and uniform distributions.

• Lifetime access to course materials and updates

Target audience and pre-requisites:

This course is designed for all levels, and assumes no prior knowledge of R.  Some experience programming or analyzing data is helpful, but we will build all knowledge from scratch! 

Some sections, especially in the second half of the course, will assume a foundation in basic algebra and arithmetic.

Start with the fundamentals of R programming, and gain proficiency in R to position yourself as a skilled data scientist.