Without data there can be no data science. This course provides a concise overview of the most important techniques and tools in data science for getting the critical raw materials. You'll be introduced to methods from both computer science, such as APIs and web scraping, and the social sciences, such as surveys and interviews. You'll get a foundation – and an appreciation – for the creative work involved in starting your data science projects.

COURSE INFORMATION
  • Introductory level
  • 14 streaming video tutorials
  • 53 minutes of instruction
  • Downloadable keypoints PDFs (available soon)
  • Downloadable workbook PDFs (available soon)
  • Created by Barton Poulson, PhD

COURSE BUNDLES

This course is available for purchase as an individual course or as part of the discounted course bundle Foundations of Data Science.

Course Curriculum

  • 1

    Introduction

    • Welcome

    • Course Files
  • 2

    Measurement

    • Metrics

    • Accuracy

    • Social context of measurement
  • 3

    Getting Data

    • Existing data

    • APIs

    • Scraping
  • 4

    Making Data

    • New data

    • Interviews

    • Surveys

    • Card sorting

    • Laboratory experiments

    • A/B testing
  • 5

    Conclusion

    • Next steps

About the instructor

Founder

Barton Poulson

Bart is the founder of datalab.cc and an advocate for data science and data literacy. He has taught people to work with data for over twenty years as a university professor, online instructor, consultant, collaborator, and author. Bart lives with his family in Salt Lake City.

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