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Statistics: Unlocking the World of Data

Statistics: Unlocking the World of Data

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8.3/10 (Our Score)
Product is rated as #178 in category Data Science

Data is everywhere, from the media to the health sciences, and from financial forecasting to engineering design. It drives our decisions, and shapes our views and beliefs. But how can we make sense of it? This course introduces some of the key ideas and concepts of statistics, the discipline that allows us to analyse and interpret the data that underpins modern society. In this course, you will explore the key principles of statistics for yourself, using interactive applets, and you will learn to interpret and evaluate the data you encounter in everyday life. No previous knowledge of statistics is required, although familiarity with secondary school mathematics is advisable. Logo image: (C) The University of Edinburgh 2016 CC BY, derived from Waverley Bridge, by Manuel Farnlack on Flickr, 2010 CC BY

Instructor Details

Mairi Walker worked as the Mathematics Engagement Officer at The University of Edinburgh from January 2016 until March 2017, and was course lead for Statistics: Unlocking the World of Data during this time. Mairi studied mathematics at The University of Warwick from 2008 to 2012, specialising in the history of mathematics in her final year. She completed her PhD in December 2015 at The Open University, writing her thesis on the interplay between geometry and the theory of numbers. Since leaving the University of Edinburgh, Mairi has worked in secondary school teaching and at the University of Warwick. She is currently involved in the creation of an online mathematics course for UK school-leavers who are undertaking industry placements.

Specification: Statistics: Unlocking the World of Data

Duration

40 hours

Year

2020

Level

Beginner

Certificate

Yes

Quizzes

No

1 review for Statistics: Unlocking the World of Data

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  1. Adelyne Chan

    Note: Although this course is slated as being for beginners, I do have experience of learning statistics in university. Admittedly slightly out of touch with the field, but looking to take more advanced courses in handling big data so I thought this would be a nice refresher session. I didn’t really see the need for a certificate, so I took this course in Audit Mode on EdX but I completed all the course materials and exercises.

    TL;DR version: Good course for understanding basics of statistics, accessible to beginners but questions designed at reinforcing concepts in a more real world setting can be somewhat misleading.

    The course itself is nicely structured, with the video lectures mostly formatted around conversations between the lead instructor and one of several other supporting instructors who are all introduced in the first video. Concepts are very accessible to beginners and lectures are filled with real life examples to help relate this is something I’ve always felt difficult to get to grips with when it comes to statistics. There is also much less emphasis on the actual computing, but more towards understanding how to use values like p Value and t Value, so students only really need to know which test to use and how to interpret the results rather than the nuts and bolts of how they are actually computed.

    Many of the exercises include interactive applets (built in to EdX, worked fine for me but a friend who was taking the course at the same time had some trouble getting it to work) which really help to demonstrate how the statistical values that output differ based on different inputs.

    My main problem with the course is quite sadly with the exercises, which can be quite subjective and therefore a) frustrating and b) confusing. When an incorrect answer is submitted, there is often a hint pointing in the right direction but having completed the course I have to say there are some which I don’t necessarily agree with that I feel have nothing to do with statistics.

    All in all though I think it was a good experience, and would recommend to other learners especially those who are new to statistics.

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