R Programming for Data Science
Discover core R coding principles for data analytics through IBM's training, exploring data transformation and examination using specialized development tools.
Discover core R coding principles for data analytics through IBM's training, exploring data transformation and examination using specialized development tools.
Embark on your data science journey with IBM's comprehensive R programming course. Learn essential R language fundamentals including data types, structures, and manipulation techniques. Get hands-on experience using RStudio and Jupyter notebooks in Watson Studio. Practice writing programs, manipulating data frames, and completing real-world data analysis projects. Perfect for beginners, this course emphasizes practical learning through hands-on exercises and culminates in a final project where you'll produce data-driven insights as a data analyst. No prior programming experience required.
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What you'll learn
Master R programming language fundamentals and data types
Learn to manipulate data structures including vectors, factors, and data frames
Develop skills in program flow control and function definition
Gain practical experience with RStudio and Jupyter notebooks
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This course provides a foundational introduction to R programming for data science applications. Students learn essential concepts including data types, structures, and manipulation techniques. The curriculum covers program flow control, function definition, string operations, and error handling. Through hands-on practice with RStudio and Jupyter notebooks in Watson Studio, participants gain practical experience in data analysis and manipulation. The course emphasizes real-world applications, including working with data frames, reading and writing data files, and web scraping. Designed for beginners, it combines theoretical knowledge with practical implementation.
Fee Structure
Instructor
AI and Machine Learning Expert at IBM Canada
Yan Luo serves as a Data Scientist and Developer at IBM Canada, where he applies his expertise in machine learning and artificial intelligence to develop innovative cognitive applications across diverse domains including software repository mining, personalized health management, wireless networks, and digital banking. After earning his Ph.D. in Machine Learning from the University of Western Ontario, he has contributed significantly to technical education through developing and teaching multiple data science courses, including Applied Data Science Capstone, Machine Learning Capstone, and Introduction to R Programming for Data Science. His work focuses on practical applications of AI and cognitive computing, bridging the gap between theoretical machine learning concepts and real-world business solutions.
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Frequently asked questions
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