Statistical Concepts Explained and Applied in R

Statistical Concepts Explained and Applied in R

This course takes you from basic statistics and linear regression into more advanced concepts, such as multivariate regression, anovas, logistic and time analyses. It offers extensive examples of application in R and complete guidance of statistical validity, as required for in academic papers or while working as a statistician.

Statistical models need to fulfill many requirements and need to pass several tests, and these make up an important part of the lectures.

This course shows you how to understand, interpret, perform and validate most common regressions, from theory and concept to finished (gradable) paper/report by guiding you through all mandatory steps and associated tests.

Taught by a university lecturer in Econometrics and Math, with several international statistical journal publications and a Ph.D. in Economics, you are offered the best route to success, either in academia or in the business world.

The course contents focus on theory, data and analysis, while triangulating important theorems and tests of validity into ensuring robust results and reproducible analyses. Start learning today for a brighter future!

Thoroughly understand statistical concepts, apply them in R and interpret the results correctly with maximum validity

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What you will learn

• Thorough understanding of basic and advanced statistical theory
• How to perform simple and advanced statistical analyses in R
• How to fully and correctly interpret the results

Rating: 4.6

Level: All Levels

Duration: 5.5 hours

Instructor: Lavinia Bleoca