Master essential tools for data science: R, RStudio, Git, and GitHub. Perfect foundation for aspiring data scientists starting their journey.
Master essential tools for data science: R, RStudio, Git, and GitHub. Perfect foundation for aspiring data scientists starting their journey.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(33,901 ratings)
7,45,940 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Set up and configure R, RStudio, Git, and GitHub
Create and manage version control for data science projects
Understand fundamental data science concepts and terminology
Use R Markdown for reproducible research documentation
Apply scientific thinking to data analysis problems
Skills you'll gain
This course includes:
2.25 Hours PreRecorded video
21 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This foundational course introduces the essential tools and concepts needed in data science. Students learn to set up and use key software including R, RStudio, Git, and GitHub for version control. The curriculum covers data science fundamentals, from understanding different types of data and questions to experimental design and big data concepts. Through hands-on practice, learners develop proficiency with R Markdown and learn how to organize and manage data science projects effectively.
Data Science Fundamentals
Module 1 · 4 Hours to complete
R and RStudio
Module 2 · 4 Hours to complete
Version Control and GitHub
Module 3 · 3 Hours to complete
R Markdown, Scientific Thinking, and Big Data
Module 4 · 5 Hours to complete
Fee Structure
Instructors
Expert in Biostatistics and Neuroinformatics
Brian Caffo, PhD, is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He earned his PhD in Statistics from the University of Florida in 2001. Specializing in computational statistics and neuroinformatics, he co-created the SMART working group
Chief Data Officer and J Orin Edson Foundation Chair at Fred Hutchinson Cancer Center
Dr. Jeff Leek serves as the Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. He earned his PhD in Biostatistics from the University of Washington and is known for his significant contributions to genomic data analysis and statistical methods for personalized medicine. His research has advanced our understanding of molecular mechanisms related to brain development, stem cell self-renewal, and immune responses to trauma, with findings published in top scientific journals such as Nature and Proceedings of the National Academy of Sciences. Dr. Leek developed a highly acclaimed Data Analysis course for Biostatistics students at Johns Hopkins, which has consistently received teaching excellence awards. He is also recognized for his efforts in creating educational initiatives that leverage data science for public health and economic development, including massive open online courses that have engaged millions worldwide.
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4.6 course rating
33,901 ratings
Frequently asked questions
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