Introduction to Programming with R for Data Science
Master R programming fundamentals for data science, covering RStudio, data structures, functions, and visualization using real-world datasets.
Master R programming fundamentals for data science, covering RStudio, data structures, functions, and visualization using real-world datasets.
This comprehensive course introduces programming using R, a powerful language for statistical computing and data science. Students learn to use RStudio IDE while mastering fundamental programming concepts through hands-on practice with real-world datasets. The curriculum covers essential data structures like vectors, matrices, and data frames, along with programming concepts including functions, loops, and exception handling. Students also explore modern data manipulation with tidyverse and data visualization techniques. The course emphasizes practical applications and concludes with learning to package and share R code professionally.
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What you'll learn
Master R programming fundamentals and RStudio IDE usage
Work with various data structures including vectors, matrices, and data frames
Develop skills in data manipulation using conditions and functions
Implement loops and exception handling for robust code
Create effective data visualizations using R's grammar of graphics
Learn to package and share R code professionally
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This Harvard course provides a thorough introduction to R programming for data science applications. The curriculum progressively builds from basic programming concepts to advanced data manipulation and visualization techniques. Students work with real-world datasets while learning essential programming structures, data manipulation with tidyverse, and creating effective visualizations. The course emphasizes practical skills through hands-on assignments and teaches professional coding practices including package development and code sharing.
Fee Structure
Instructors
25 Courses
David J. Malan: Pioneering Computer Science Education at Harvard and Beyond
David J. Malan is a prominent figure in computer science education, serving as the Gordon McKay Professor of the Practice of Computer Science at Harvard University. He is best known for teaching CS50, Harvard's introductory computer science course, which has become one of the university's largest and most popular offerings. Malan's teaching extends beyond Harvard, as CS50 is also taught at Yale University and is available as a massive open online course (MOOC) on edX, attracting millions of learners worldwide. His expertise spans various areas of computer science, including cybersecurity, digital forensics, and computer science education. Malan's journey in computer science began as a student at Harvard, where he initially studied government before discovering his passion for programming through CS50. He went on to earn his bachelor's, master's, and doctoral degrees in computer science from Harvard. In addition to his work at Harvard's School of Engineering and Applied Sciences, Malan is a member of the Faculty of Education in the Graduate School of Education and teaches at Harvard Business School, Harvard Law School, Harvard Extension School, and Harvard Summer School. His innovative teaching methods, engaging lectures, and commitment to making computer science accessible to all have earned him recognition as a leading educator in the field.
6 Courses
Harvard Computer Science Preceptor and Educational Innovator
Carter Zenke is a Preceptor in Computer Science at Harvard University's Division of Continuing Education, bringing a unique blend of computer science expertise and educational innovation to his role. He earned his B.A. in Learning, Policy, and Ethics in the Digital Age from Duke University in 2020, followed by an Ed.M. in Technology, Innovation, and Education from Harvard in 2021. This interdisciplinary background allows him to approach computer science education with a focus on effective learning strategies and technological innovation. At Harvard, Zenke has quickly become an integral part of the CS50 team, transitioning from a preceptor to a primary instructor. He currently teaches the Introduction to Databases with SQL course, which is part of the expanded CS50 curriculum. This course, launched in 2023, covers topics such as SQLite, database design, query optimization, and explores more advanced database systems like MySQL and Postgres. Zenke's teaching style likely incorporates his background in educational technology, making complex database concepts accessible to a wide range of learners. His rapid advancement from student to educator at prestigious institutions underscores his talent and dedication to computer science education.
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