Getting Your Data Sensible and Fit-For-Purpose – Sample


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

Total learning: 4 lessons Time: 63 minutes


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Lee Baker is an award-winning software creator that lives behind a keyboard in a darkened room. Illuminated only by the light from his monitor, he aspires to finding the light switch. With decades of experience in science, statistics and artificial intelligence, he has a passion for telling stories with data, yet despite explaining it a dozen times, his mother still doesn’t understand what he does for a living. Insisting that data analysis is much simpler than we think it is, he creates friendly, easy-to-understand video courses that teach the fundamentals of data analysis and statistics. As the CEO of Chi-Squared Innovations, one day he’d like to retire to do something simpler, like crocodile wrestling.



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