Data Analysis with R programming language
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.
On-Demand Learning platform covers a variety of data topics such as Statistical surveys, data analysis, data science, experimentation and much more!
- Getting started with R
- Data Visualisation
- Data Wrangling
- Statistical Analysis
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:
- Shiny and Data apps
- How to build, run, and deploy apps with Shiny
- Single and split files shiny apps
- Shiny apps 101
- Data-driven Controls
- How to make the app beautiful