Programming for Data Science with R Nanodegree Program (Udacity)
This Nanodegree program prepares students for a career in data science by introducing them to the fundamental data programming tools of R, SQL, command line, and git. The program is designed for beginners and is divided into three courses: Introduction to SQL, Introduction to R Programming, and Introduction to Version Control. Throughout the program, students complete three projects, with a focus on the R programming language.
In the R programming module, you will begin by understanding common R use cases and why it is popular, as well as installing and configuring the R environment. You will learn to use R data types and variables to represent and store data, as well as conditionals and loops to control the flow of programs. You'll also learn about complex data structures, such as lists, which are used to store collections of related data. You'll also learn how to write your own custom functions, scripts, and error handling. Data visualization with R libraries is also thoroughly covered.
Key Highlights
- Learn the most important programming languages (R and SQL) used by the data scientists
- Learn to make beautiful visualizations using the ggplot2 library
- Use the popular diamonds dataset to put your R skills to work
- Industry relevant projects to gain hands-on experience
- Personalized feedback on projects from network of 900+ project reviewers
- Get access to student hub to connect with fellow learners
- Get access to technical mentor support and career support services
- No prior experience requirement to enrol for the program
Duration : 3 months, 10 hours per week
Rating : 4.5
Enroll here: udacity.com/course/programming-for-data-science-nanodegree-with-R--nd118
