Introduction to Statistics in R – A Practical Approach

Learn statistics using R with mini projects, hands–on practice, and carefully designed visual explanations. Understand how fundamental statistical concepts work behind the scenes and apply your knowledge to new scenarios.

Descriptive Statistics in R is Your First Step Into the In–demand and Powerful World of Statistics and Data Science

Analyze real–world scenarios by identifying key elements such as population, sample, statistic, and parameter.

Measure the center of the data with the mean, median, and mode. Describe their key differences and use cases.

Measure the spread of the data with variance and standard deviation.

Learn how to create and interpret bar plots, histograms and box plots.

Find quartiles and the interquartile range (IQR). Use them to identify potential outliers.

Apply your knowledge in practical mini projects.

Check your knowledge with a final exam that covers all the topics of the course.

Add New Statistical Skills To Your Resume

Statistics is one of the most in–demand skills of our current time. If you want a career in data science, computer science, or mathematics, learning statistics is the first step that you need to take. When you combine theoretical statistical skills with practical R programming skills, you have the perfect skill set that employers around the world are looking for.