Reproducible Analytical Pipelines (RAP) using R

Description

In this course, you will learn:-

• Improve the speed and accuracy of your statistical reports by implementing DevOps.
• Construct a repeatable analytical pipeline that encapsulates business knowledge in a R package.
• Create a periodic report by automating the process.

Syllabus:-

• Introduction to Reproducible Analytical Pipelines (RAP)
• Why RAP? + ACTIVITY
• Identifying RAP battles in your organization
• RAP is Open Source + ACTIVITY
• Open Source Trivia
• Evaluating RAP + ACTIVITY
• RAP business benefit
• Finding a RAP buddy + ACTIVITY
• Finding a buddy to collaborate with
• Choose your RAP battles wisely3 lectures • 18min
• Identifying good RAP problems + ACTIVITY
• Choosing a wise RAP battle
• Establish your minimal tidy data set + ACTIVITY
• Establishing your minimal tidy data set
• Our RAP battle demo + ACTIVITY
• Setting up your package9 lectures • 1hr 23min
• Enshrining business knowledge in a package
• What’s in a name? + ACTIVITY
• Naming your package
• Initializing Your Package Repository on Github
• git and Github for beginners
• Create a basic package + ACTIVITY
• Creating your RAP package
• Typical git workflow + ACTIVITY
• Using Github to assign issues+ ACTIVITY
• Creating issues on Github
• Preventing the publication of sensitive information
• Raw or tidy data? + ACTIVITY
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