Harvard University - Data Science: Productivity Tools
- Offered byedX
Data Science: Productivity Tools at edX Overview
Data Science: Productivity Tools
at edX
Learn how to use Git for version control, branching, and collaboration, ensuring reproducibility and teamwork on data science projects
Duration | 8 weeks |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science: Productivity Tools at edX Highlights
Data Science: Productivity Tools
at edX
- Earn a certificate from edX
- Learn from industry experts
Data Science: Productivity Tools at edX Course details
Data Science: Productivity Tools
at edX
Skills you will learn
Who should do this course?
- This course is designed for those who want to take a deep dive into data analysis
What are the course deliverables?
- How to use Unix/Linux to manage your file system
- How to perform version control with git
- How to start a repository on GitHub
- How to leverage the many useful features provided by RStudio
More about this course
- 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 the 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
- The course also introduces you to GitHub and demonstrates 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. The course will put it all together using the powerful integrated desktop environment RStudio
Data Science: Productivity Tools at edX Curriculum
Data Science: Productivity Tools
at edX
Version Control Systems (VCS)
Data Wrangling and Management
Task Management and Automation
Collaboration and Communication
Scripting and Programming Languages
Data Science: Productivity Tools at edX Faculty details
Data Science: Productivity Tools
at edX
Rafael Irizarry
Professor of Biostatistics Harvard University
Data Science: Productivity Tools at edX Admission Process
Data Science: Productivity Tools
at edX
Important Dates
May 25, 2024
Course Commencement Date
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Data Science: Productivity Tools
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Student Forum
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