Data Analysis with R programming language

Course Overview

R is an open-source and very robust language for data science. By taking this course, you are on the right path to becoming a Data Scientist, Data Engineer, Data Analyst, or Consultant. The course is instructor-led for 6 weeks and it’s on a part-time basis.

This course will cover the software applications and tools that are unique to R, such as R packages and R markdown. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways.

Students are encouraged to set up a GitHub Profile to successfully track their work and codes. There will be quizzes and reading material after every Module to ensure understanding of concepts.

Outline:

On-Demand Learning platform covers a variety of data topics such as Statistical surveys, data analysis, data science, experimentation and much more!

1. Getting started with R
2. Data Visualisation
3. Data Wrangling
4. Statistical Analysis
5. Project

1.1 Short Course on R Shiny

This specialization has an R course as a prerequisite. R shiny is very good for creating interactive web apps and bespoke dashboards. In the Course, you will cover:

1. Shiny and Data apps
2. How to build, run, and deploy apps with Shiny
3. Single and split files shiny apps
4. Shiny apps 101
5. Data-driven Controls
6. How to make the app beautiful