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The Data Science With Python Badges are targeted towards university-level faculty and students interested in assessing their knowledge of data science and big data analytics and visualization using Python. There will be a beginner-level assessment and an intermediate-level assessment. Questions are designed to assess knowledge of basic data science and big data principles and practices of a more general nature. 

Target date for availability will be early March, 2019. 

Update, January 20, 2021:

Intermediate Badge Ready for Review

The intermediate badge consisting of two parts, a quiz and a practical, is ready for review before being made available. 

Update, May 21, 2020:

Beginner Badge Now Available

The Data Science With Python Beginner Badge is now available

Update, January 23, 2019:

Learning Objectives

Learning objectives have been developed and can be reviewed in the XSEDE Confluence page for the Data Science With Python tutorial. 

Beginner Badge Sample Assessments

Sample assessments for the Data Science With Python Beginner Badge are currently under development and can be reviewed in the XSEDE Confluence page for the Data Science With Python tutorial. 

Update, November 22, 2018:

Learning Objectives

Learning objectives are being developed in alignment with the Data Science With Python tutorial currently under development for the Cornell Virtual Workshop. 

Beginner Badge

The Beginner Python For Data Science Badge consists of a relatively simple 10-question quiz made with basic questions about basic Python data science tools, technologies, and practices. The quiz requires no time limit to complete, and allows up to 5 submissions. 

Intermediate Badge

Part 1: Knowledge Assessment

This part consists of a 15-question quiz made with more difficult questions, requiring a time limit to complete, and allowing only 2 submissions. 

Part 2: Practical Assessment

For this part of the badge, the user will need to perform some reasonably challenging problems in data science including exercise on two different documents, 1) a document provided by us, and 2) a document of the user's own choosing. 

 

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