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Sequence of 11 MOOCs on various aspects of data science.

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yamatokataoka/cloud-based-data-science

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Chromebook Data Science

This course set is offered by Johns Hopkins Data Science Lab on Leanpub.

There are 12 courses that are offered in the Chromebook Data Science Curriculum. You can check here.

What I learned from here

  1. Use cloud-based tools to complete your first data science project
  2. Create projects on RStudio Cloud
  3. Set up a version controlled data science project on GitHub
  4. Perform the basic commands in R with R packages
  5. Transform messy data sets into tidy data sets
  6. Work with strings, factors and dates in R
  7. Create exploratory and explanatory plots in R using the ggplot2 package
  8. Plot different types of data and make different types of plots
  9. Convert basic plots into plots that are visually pleasing and communicate information
  10. Pull the data from these sources in a variety of formats
  11. Save them and organize them so you can tidy them for analysis
  12. Translate a general question into a data science question
  13. Use data visualization and linear models to answer descriptive, exploratory, inferential and predictive questions
  14. Implement your answers in code from data science questions
  15. Create and write a data science report
  16. Organize, manage, or attend a data science meeting
  17. Create and deliver technical and non-technical data science presentations

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Sequence of 11 MOOCs on various aspects of data science.

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