Introduction to R Programming for Data Science
Working in the field of data science will undoubtedly expose you to the R programming language and its importance in data analysis. This course covers the fundamentals of the R programming language, including data types, manipulation techniques, and how to do basic programming tasks. With the aid of the R programming language, you will learn to comprehend typical data structures, programming foundations, and data manipulation. Hands-on and practical learning are emphasized in this training. You'll use RStudio to develop a simple program, manipulate data in a data frame or matrix, and finish a final project as a data analyst utilizing Watson Studio and Jupyter notebooks to collect and evaluate data-driven insights.
This course can be applied to a variety of professional certificate or Specialization programs. This course will credit toward your training in one of the following programs if you finish it successfully:
- Number of IBM Data Analysis with Excel and R Professional Certificate
- Spécialisation Applied Data Science with R
What you will learn:
- Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.
- Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, handle errors.
- Construct and manipulate R data structures, including vectors, factors, lists, and data frames.
- Read, write, and save data files and scrape web pages using R.
This course offers:
- Flexible deadlines
- Shareable certificate: Get a Certificate when you complete
- 100% online
- Beginner level
- Approx. 12 hours to complete
- Subtitles: English
Rating: 4.4/5
Enroll here: https://www.coursera.org/learn/introducton-r-programming-data-science
