Data Sourcing: Foundations of Data Science | Introduction to Data Science #2

Data Sourcing: Foundations of Data Science | Introduction to Data Science #2

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An easy understandable introduction to Data Science lead by Barton Poulson. If you are a data- or computerscience student, this video is perfect for you, to finish your engineering degree.

Contents:
- Welcome (1.1)
- Metrics (2.1)
- Accuracy (2.2)
- Social Context of Measurement (2.3)
- Existing Data (3.1)
- APIs (3.2)
- Scraping (3.3)
- New Data (4.1)
- Interviews (4.2)
- Surveys (4.3)
- Card Sorting (4.4)
- Lab Experiments (4.5)
- A/B Testing (4.6)
- Next Steps (5.1)

Course created by Barton Poulson from datalab.cc.
- Check out the datalab.cc YouTube channel: https://www.youtube.com/user/datalabcc
- Watch more free data science courses at http://datalab.cc/

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tags:
#datascience #computerscience #data #learndatascience #cs #science #python #computerdegree #datasciencedegree #csdegree #mit

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