• Cover the fundamental R programming skills.

• Explore statistical concepts such as probability, inference, and modeling and apply them in practice.

• Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr.

• Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio.

• Implement machine earning algorithms and in-depth knowledge of this area with real-life case studies.

This Harvard Certification program it teach me the key of data science essentials, including R and machine learning using real-world case studies to kick start my data science career. Spread across 9 courses, this immersive program is among the best rated online masters programs available on leading e-learning platform edX. The courses that were making up this program include R Basics, Visualization, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning followed up with a Capstone project to test and try all that i have learned in the course. I've learned the R programming language, statistical concepts, and data analysis techniques simultaneously.