We are surrounded by data. We work with numbers every day. How can we understand them and how can we show trends, correlations or insights to other people?
The solution is putting those numbers into visual form. This ability is one of the most sought-after skills on the job market, because the amount of data that needs to be sorted, analyzed and understood is increasing at formidable rate.
Learn how to correctly use charts and graphs to make sense of data.
Take the first steps in learning a new language
Using data visualizations to see patterns, uncover hidden trends and put numbers into an easy to understand visual form is a skill that is useful in any job. There is no need for prior experience and the terminology will be explained in the course.
Content and overview
When you enroll in this course you will get access to almost 2 hours of video lectures and a wealth of supplemental materials. You can complete the course in 2 or 3 hours, if you just watch the videos and take the quizzes, but you can also spend days reading and practicing what we discuss in the course, or anything in between. At the end of each of the main 4 sections there is a quiz, to help you remember what you have learned .
At the end of this course you will be able to understand how statistical data can be put into visual form, how you can extract meaning from spreadsheets and how to recognize when someone is trying to lie to you with pretty charts.
understand how charts, maps and graphs are created
present insights to others through charts and graphs
improve your data presentation skills
know how to draw attention to specific parts of their datasets
know what chart is best for which type of data
avoid making the most common mistakes when creating data visualizations
recognize charts that try to deceive
acquire the basic terminology of data visualization
The only necessary prerequisite is basic use of computers and office software.
It will help if you have Microsoft Excel installed, we have an exercise in Lecture 7.
A lot of suplemental materials are available in webpages, so internet connection when taking this course is recommended.
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