"Data to Insight" Videos

Chris Wild, Department of Statistics, The University of Auckland


[Next start date for Data to Insight: 2 October, 2017 at https://www.futurelearn.com/courses/data-to-insight]

In addition to being a MOOC introducing its students to statistical data analysis, "Data to Insight"
(https://www.futurelearn.com/courses/data-to-insight) prototypes a much-further-much-faster, more-data-more-quickly Introductory Statistics Course. The acceleration should be evident from the course outline below, particularly since it is "covered" in about 10% of the "class time" of a standard introductory course.

Strategies used for acceleration

The most novel strategies used are:
  1. Being intensely visual and driving all argument off things you can see supplemented by metaphor;

  2. Building software solutions (iNZight, VIT) that prevent "how do I get this out of the software?" limiting the speed at which students can encounter new situations and new ideas;

  3. Finding some powerful, conceptually-undemanding "extender-capabilities" that immediately open much wider horizons.
Other strategies are more obvious: limiting messages to just those most critical for real-world learning from data; stripping concepts back to their barest bones; and exploiting, feeding and reshaping primary intuition. Additionally, we use vivid images (verbal as well as visual) to make key messages linger.

This page has been created for university and college teachers of statistics and research methods to enable them to dip in and see "what is being done and how" by jumping directly to particular video.

TABLE OF CONTENTS



TRAILER (marketing)

Week 1: GETTING STARTED

Week 2: BOOT CAMP

Week 3: RELATIONSHIPS

Week 4: MORE RELATIONSHIPS

Week 5: WHY WHAT WE SEE IS NEVER QUITE THE WAY IT REALLY IS

Week 6: ESTIMATION WITH CONFIDENCE

Week 7: RANDOMISED EXPERIMENTS AND STATISTICAL TESTS

Week 8: TIME SERIES