R Programming and Statistical Analysis

Об этом курсе

About this course

The course includes a series of video lectures combined with a variety of conceptual and hands-on activities to help you develop skills in manipulating and analysing data, interpreting results, and visualising your data effectively.

R is widely recognised as a powerful programming language and environment for data manipulation, statistical computing, and graphical display. R provides a variety of tools and techniques and is easily extensible. It’s an open-source programming language and a vital tool for data wrangling and analysis. R also includes a robust data handling and storage facility, as well as an extensive, integrated collection of tools for data analysis and graphical display.

You’ll explore all of this and more as you work through the three modules of the course and test your understanding with the knowledge tests at the end of each section.

Course Content

Module 1: R Programming for Beginners

Getting Started with R; Exploring R Vectors; Leveraging R with Matrices, Arrays, and Lists; Understanding Data Frames, Factors, and Strings

Module 2: Datasets in R

Loading and Saving Data; Transforming Data; Selecting, Filtering, Ordering, and Grouping Data; Joining and Visualising Data

Module 3: Statistical Analysis and Modelling in R

Working with Probability Distributions; Understanding and Interpreting Statistical Tests; Statistical Analysis on Your Data; Performing Regression Analysis