How to Check That Your Data are Sensible and Fit-For-Purpose

  • Lee
  • 3 (Registered)
  • (0 Review)

Course Description

OK, so you might have a perfectly clean dataset, your favourite stats program is happy to run analyses on it, but are your data sensible and fit-for-purpose? This course will teach you how to make these checks, including running preliminary analyses on your dataset so you get a good understanding of the story that it’s trying to tell you, even before your ‘real’ analyses have begun. You’ll also learn how to remove outliers from your numerical data with a single step.


At the end of this course you will receive a certificate of completion. Post it to Facebook, your LinkedIn page or print it out and stick it on your wall. Just don’t throw darts at it, ok…

Learning Outcomes

  • Over 1 hour of video content!
  • Learn how to remove unwanted text data from your dataset
  • Learn how to check that your data are sensible and fit-for-purpose
  • Learn how to remove outliers with one ninja move
  • Excel is used as a learning tool, but the lessons learned are transferable to other media
  • Data files are provided for the student to practice with
  • Practical learning experience with real data

Course Content

Time: 63 minutes
  • Section 1 - Introduction to Data Integrity  0/0

    No items in this section

  • Section 2 - How to Remove Unwanted Text Entries  0/0

    No items in this section

  • Section 3 - How to Check that Your Numerical Data are Sensible  0/0

    No items in this section

  • Section 4 - How to Remove Statistical Outliers  0/0

    No items in this section

  • Section 5 - Data Integrity Recap  0/0

    No items in this section



0 rating

5 stars
4 stars
3 stars
2 stars
1 star


  • Over 1 hour on-demand video
  • Language: English
  • Certificate of Completion