Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by [John Tukey](http://en.wikipedia.org/wiki/John_Tukey), exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: University of Oxford
|Aude Explores Coordinated Migration||00:03:00|
|Our Approach for This Course||00:01:00|
|The Growth of Televisions||00:01:00|
|Goals of EDA||00:02:00|
|Aude’s Interest in Data||00:01:00|
|Why learn EDA?||00:03:00|
|Data is Ubiquitous||00:02:00|
|Submit Your Assignment||00:00:00|
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