How to tell a story with data (Udemy.com)
Learn how to pique and keep your audience's attention so they will understand and remember your data presentation.
Created by: Mike X Cohen
Produced in 2021
What you will learn
- Give better spoken and written presentations about data!
- Have an arsenal of strategies for creating memorable data stories.
- Know and apply the "5-stage arc" for memorable data storytelling.
Quality Score
Overall Score : 86 / 100
Course Description
In this course, youll learn tips, tricks, and strategies for engaging your audience (both live audiences and reading audiences)to help them remember the key points of your data graphs. There are many examples and exercises, so youll learn how to do it in a waythats both informative and engaging.
Why learn data storytelling
We live in a world increasingly dominated by data. Data are used to make important decisions, to shape business and political policy, and to understand the fundamental workings of nature. But data can be complicated,mysterious, and difficult to understand.
It is more important than ever to be able to communicatedata in a way that is comprehensible and memorable. That's called data storytelling.
Data storytelling is a skill,and the goal of this course is to help youimprove this skill.
What you will get from this course
Very simple:
An easy-to-apply framework for building audience excitement about your data.
Also:
Lots of tips for making and presenting data graphics.
Who this course is for:
Anyone from student to professional who wants to improve their data-storytelling skills.
Instructor Details
- 4.3 Rating
287 Reviews
Mike X Cohen
I am a neuroscientist (brain scientist) and associate professor at the Radboud University in the Netherlands. Ihave an active research lab that has beenfunded bythe US, German, andDutch governments, European Union, hospitals,and private organizations.
But you're here because of my teaching, so let me tell you about that:
I have almost 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra,and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I teach in "traditional"university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >50 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel.AndI've written severaltechnical books aboutthese topics (look them up on amazon!) with a few more on the way.
I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent nearly two decades refining and perfecting his teaching style.
Over 82,000 students have watched over 6,000,000 minutes of my courses (that's over 10 years of continuous learning). Come find out why!
Ilook forward to seeing you soon in one (or more)of my courses.
-------------------------
By popular request, here are suggested course progressions for various educational goals:


