Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Data Science: Productivity Tools course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our Professional Certificate Program in Data Science, this course explains how to use Unix/Linux as a tool for managing files and directories on your computer and how to keep the file system organized. You will be introduced to the version control systems git, a powerful tool for keeping track of changes in your scripts and reports. We also introduce you to GitHub and demonstrate how you can use this service to keep your work in a repository that facilitates collaborations. Finally, you will learn to write reports in R markdown which permits you to incorporate text and code into a document. We'll put it all together using the powerful integrated desktop environment RStudio.
Difficulty Level
Introductory
Suitable for motivated learners
Subject Category
Data Analysis & Statistics, Computer Science
Part of our Data Analysis & Statistics, Computer Science curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Budget-Friendly Course
Typically around $49
Pricing may vary. Check the course provider for current promotions and exact pricing.
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