An introduction to data science

This course presents the process of data analysis in a format that can be applied in many different situations. Through extensive experience both managing data analysts and conducting my own data analyses, I have seen what produces coherent results and what fails to produce useful insights into data. This course is a distillation of my experience in a format that is useful to practitioners and managers in data science.

   547 students completed this course

   75% recommend it to other students

   Teacher: Roger D. Peng


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75% of students recommend

  “Great explanation of epicycles in particular. Good book recommendations. Thank you!”


Course plan

Lesson 1. In the Beginning There Was the Question
Lesson 2. The Data Analysis Epicycle
Lesson 3. Exploratory Analysis: Testing the Waters
Lesson 4. Doing Exploratory Data Analysis
Lesson 5. Spot the Inference
Lesson 6. Genie in a Model
Lesson 7. Battle of the Inference: Inference or Prediction?
Lesson 8. What Do You Mean? Interpreting Your Results
Lesson 9. Communication is Everything
Lesson 10. What’s Next?
+ Quiz



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  • Format
    One lesson delivered via email daily
  • Duration
    10 days
  • Time
    5 minutes reading a day

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