Data Science for Beginners

13:43 31/05/22 854 views
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Data Science for Beginners

Pedagogy

We have chosen two pedagogical tenets while building this curriculum: ensuring that it is project-based and that it includes frequent quizzes. By the end of this series, students will have learned basic principles of data science, including ethical concepts, data preparation, different ways of working with data, data visualization, data analysis, real-world use cases of data science, and more.

In addition, a low-stakes quiz before a class sets the intention of the student towards learning a topic, while a second quiz after class ensures further retention. This curriculum was designed to be flexible and fun and can be taken in whole or in part. The projects start small and become increasingly complex by the end of the 10-week cycle.

Find our Code of Conduct, Contributing, and Translation guidelines. We welcome your constructive feedback!

Each lesson includes:

  • Optional sketchnote
  • Optional supplemental video
  • Pre-lesson warmup quiz
  • Written lesson
  • For project-based lessons, step-by-step guides on how to build the project
  • Knowledge checks
  • A challenge
  • Supplemental reading
  • Assignment
  • Post-lesson quiz

A note about quizzes: All quizzes are contained in this app, for 40 total quizzes of three questions each. They are linked from within the lessons, but the quiz app can be run locally; follow the instruction in the quiz-app folder. They are gradually being localized.

Link: https://github.com/microsoft/Data-Science-For-Beginners
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