Applied Data Science with R

Description

In this course, you will :

• Work with data structures, manipulate data, use APIs, web scrape, and use R Studio and Jupyter to perform basic R programming tasks.
• JupyterLab allows you to create relational databases and tables, load data from CSV files, and query data using SQL and R.
• Finish the data analysis process, which includes data preparation, statistical analysis, and predictive modelling.
• Data visualisation libraries such as ggplot, leaflet, and R Shiny can be used to communicate data analysis findings through data visualisation charts, plots, and dashboards.

Syllabus :

• Introduction to R Programming for Data Science
• SQL for Data Science with R
• Data Analysis with R
• Data Visualization with R
• Data Science with R - Capstone Project