Data science for public good

Introduction to Reproducibility

• Data Science Campus
• September 4, 2020

What is a reproducible analytical pipeline (RAP), writing “good code” and creating a reproducible report.

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Statistics for Data Science

• Laurie Baker
• July 6, 2020

This course introduces the basics of carrying out a statistical analysis in Python.

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Data Science with R

• Sonia Mazzi
• July 6, 2020

This course gives the essential knowledge to get started with a data science project in R using the Tidyverse package.

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Introduction to R

• Laurie Baker
• January 11, 2019

This 1 day course will introduce you to the building blocks of R including objects, vectors, and data frames and will examine common data types.

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Introduction to Python Programming

• Data Science Campus
• January 11, 2019

This course is delivered through the Jupyter notebook application. Participants should attain a good understanding of basic data types in Python and associated methods and constructs that can be applied to them.

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