Download and Learn Programming for Data Science with R Udacity Nanodegree Course 2023 for free with google drive download link.
Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git.
In collaboration with
What You’ll Learn in Programming for Data Science with R Nanodegree
Learn to Code with R and SQL
3 months to complete
Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.
Programming for Data Science with R Intro Video:
Prerequisite knowledge
There are no prerequisites for this program, aside from basic computer skills.
There are no prerequisites for this program, aside from basic computer skills. You should feel comfortable performing basic operations on your computer (e.g., opening files, folders, and applications, copying and pasting).
Introduction to SQL
Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.
Project – Investigate a Database
In this project, you’ll work with a relational database while working
with PostgreSQL. You’ll complete the entire data analysis process, starting by posing a question, running appropriate SQL queries to answer your questions, and finishing by sharing your findings.
Introduction to R Programming
Learn R programming fundamentals such as data structures, variables, loops, and functions. Learn to visualize data in the popular data visualization library ggplot2.
Project – Explore US Bikeshare Data
You will use R to answer interesting questions about bikeshare trip data collected from three US cities. You will write code to collect the data, compute descriptive statistics, and create beautiful data visualizations you can share in your portfolio.
Introduction to Version Control
Learn how to use version control and share your work with other people in the data science industry.
Project – Post your work on Github
In this project, you will learn important tools that all programmers use. First, you’ll get an introduction to working in the terminal. Next, you’ll learn to use git and Github to manage versions of a program and collaborate with others on programming projects. You will post two different versions of a Jupyter Notebook capturing your learnings from the course, and add commits to your project Git repository.
Programming for Data Science with R Nanodegree Free Download Link:
