Data Science · Intermediate level

Intermediate level · Module 6: Intermediate Data Science Project · Lesson 2 of 3

Carrying Out the Analysis

Prepare the data and run the planned indicator, inferential and regression analyses.

In this lesson you will

  • Apply the level's methods rigorously
  • Check and document every step

Key concepts

merge logweighted indicatorstests and regressionquality checks

The lesson

Merge and clean the sources with documented checks, then calculate weighted indicators with confidence intervals.

Run the planned tests and regression, reporting effect sizes and discussing confounding.

Check results for plausibility with the programme team: surprising findings are often data errors.

Step by step

  1. Merge and clean the data with a log.
  2. Calculate the indicators.
  3. Run the tests and regression.
  4. Review surprising results.

Practice activity

Complete the analysis for the education project.

Expected result: A documented analysis with all planned results.

Check your understanding

  1. What should you do with a very surprising result?

    Show answer

    Check it for data errors and discuss it with people who know the context.

  2. What must accompany each test result?

    Show answer

    The effect size and its uncertainty.

Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.