Johns Hopkins University
Introduction to Reproducibility in Cancer Informatics
Johns Hopkins University

Introduction to Reproducibility in Cancer Informatics

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Candace Savonen, MS

Instructor: Candace Savonen, MS

Intermediate level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Create reproducible data analyses

  • Apply reproducibility skills to existing analyses scripts and projects

Details to know

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Assessments

8 quizzes

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There are 8 modules in this course

In this first section, we will discuss the goals of this course and define what we mean by reproducibility.

What's included

1 quiz3 plugins

In this section we discuss motivation and strategies for project organization.

What's included

1 quiz1 plugin

In this section we discuss the motivation for using notebooks and integrated development environments to enhance the reproducibility of your project.

What's included

1 quiz1 plugin

In this section we will describe how GitHub can make a project open source and encourage reproducibility.

What's included

1 quiz1 plugin

In this section we discuss two strategies for managing package versions in a project.

What's included

1 quiz1 plugin

In this section we discuss aspects of code that can make it more durable to enhance the reproducibility of a project.

What's included

1 quiz1 plugin

This section discusses the importance of code review for creating reproducible analyses.

What's included

1 quiz1 plugin

This section discusses how to document analyses to enhance their reproducibility.

What's included

1 quiz1 plugin

Instructor

Candace Savonen, MS
Johns Hopkins University
9 Courses1,998 learners

Offered by

Recommended if you're interested in Data Analysis

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