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.
This course provides a detailed and engaging introduction to descriptive statistics using the R programming language and RStudio, the main tool used in industry to work with programming for statistical purposes.
No programming experience is required to take this course. Lectures combine the theoretical aspects of statistics with the practical and applied aspects that R programming brings to this amazing field. You will be analyzing small datasets and working on practical mini projects that simulate simplified real-world scenarios. Learning the fundamentals of statistics is your first step towards mastering a career in data science, computer science, and mathematics.
