R Programming Fundamentals

In this 2-hour course, you will learn R programming fundamentals, starting with setup and exploring R packages, functions, and control flow. Dive into data visualization using ggplot2, and master data management techniques, preparing you to work with real-world data and build your own data science projects.

What I will be able to do after this course

• Use basic R programming concepts including functions, data structures, and flow control.
• Import and clean data from various formats such as CSV, Excel, and SQL.
• Perform univariate and bivariate analysis using ggplot2 for data visualization.
• Create statistical summaries and advanced plots, including histograms, scatter plots, and box plots.
• Apply data management techniques like aggregation, merging, and handling missing values.

Course Instructor(s)

Samik Sen is a PhD in Theoretical Physics, with experience in high-performance computing, machine learning, and data science. He has lectured at international conferences and worked in finance and online education, specializing in using R for data analysis and visualization.

Who is it for?

This course is for analysts looking to expand their knowledge in data science, especially those keen to explore the latest tools and techniques in R programming for data analysis and visualization.