Data Science for Business

Course contents (13 parts)

1. 1

   Pre-course assessment

   Check your starting knowledge before learning

2. 2

   What is Data Science?

   Lesson video

3. 3

   Start with the decision

   State what needs to change and who makes the decision.

4. 4

   Design metrics

   Define metric formulas and add measures that guard against gaming.

5. 5

   Choose data and method

   Use data sources and methods that fit the decision.

6. 6

   Evaluate assumptions

   Set test conditions and account for confounding changes.

7. 7

   Communicate to support a choice

   Present evidence and limitations for a business choice.

8. 8

   Applied case study and evidence review

   Define an order metric with a consistent denominator

9. 9
   Document0 points1 min

   Course study guide

   A practical guide to the course lessons, with Thai and English editions.

10. 10
    Document0 points1 min

    Practical workbook

    Course-based exercises for review and planning a small real-world trial.

11. 11
    Document0 points1 min

    Quick reference

    A concise reference to course topics and review points for use while working.

12. 12
    Document0 points1 min

    Implementation planner

    A template for connecting course topics to goals, owners, and evidence of results.

13. 13

    Post-course assessment

    8 scenario-based questions applying the lesson concepts.