.png){kind=logo}
Harvard T.H. Chan School of Public Health offers Data Science: R Basics as an introductory online course through its partnership with edX. The course introduces learners to the fundamentals of R programming, data wrangling, and visualization using real-world datasets. The participants develop essential skills for advanced data science topics through practical applications which include analyzing crime data across different U.S. states.
This course enables learners to:
Understand R programming through its fundamental syntax and data types and vector data structures.
Execute mathematical calculations and access data elements through indexing in R programming.
To implement programming fundamentals through the use of conditional statements and loop structures.
Use dplyr package to perform data cleaning and data transformation tasks.
Create data visualizations through the use of different plotting tools.
Conduct analysis on actual datasets to solve real-world problems.
The 100% online self-paced course will continue for eight weeks which requires students to dedicate one to two hours of study time each week. The course offers free access to all learners who want to study data science and programming basics with the option to pay for certification.
Foundations of R Programming: Learn syntax, data structures, and computational logic
Data Wrangling with dplyr: Manipulate and organize datasets efficiently
Programming Concepts: Apply loops, conditional statements, and functions
Data Visualization: Create plots and graphical insights from data
Real-World Case Study: Analyze crime data across U.S. states
Preparation for Advanced Topics: Build a foundation for probability, regression, and machine learning courses
Needs no previous programming knowledge for students to participate in its content.
Requires no prior data science knowledge because it is designed for beginners and students and data science professionals.
Basic computer skills as a minimum requirement for participants.
The course teaches R programming through practical exercises that students use to solve actual problems which exist in the real world. Through their work on actual datasets students learn to think analytically while they practice programming skills. The program serves as the introductory stage which leads to an advanced data science professional certification path.
The Data Science: R Basics course teaches students programming skills and data analysis techniques using the R programming language. The program teaches coding fundamentals to students while demonstrating practical application methods which they will use to develop their required skills for future work in statistics and machine learning and analytics fields.
