One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world. Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.
Overgeneralization and Sample Bias
Compétences que vous apprendrez
Data Analysis, Tableau Software, Data Visualization (DataViz), Visualization (Computer Graphics)
Avis
I was pleased by the quality of this course. I really learned how to use tableau and the tips on researching and presenting were well founded. The teachers were positive and hard working. Thank you!
a GREAT course to learn Tableau in one course. It's wonderful course with great instructors. I recommend it to everyone who likes to learn Tableau and become a data scientist or a business analyst.
Welcome to week 4! This week you will become a master at getting people to agree with your data-driven business recommendations as you learn to deliver a compelling business presentation. You’ll learn about the insight from the intersection of visualization science and decision science, and what this means for you as a data analyst, who seeks to design a compelling and effective business presentations. If you intend to affect people’s decisions, you need to influence where they look. This week we will review a set of tools and concepts you can use to optimize your visualizations and your presentation style. You will soon be a master at getting people to agree with your data-driven business recommendations! <p>By the end of this week, you will be able to:<p><ul><li>Tell stories with data</li> <li>Design effective slide presentations to showcase your data story, and</li> <li> Deliver compelling business presentations</ul></li><p> Remember to refer back to the Study Guide: Designing and Delivering Effective Presentations. You will also complete a graded quiz. <p>As always, if you have any questions, post them to the <b>Discussions</b>.<p> To get started, please begin with the video “Using Visualization to Influence Business Decisions.”<p> I hope you enjoy this week's materials!
Enseigné par
Daniel Egger
Executive in Residence and Director, Center for Quantitative Modeling
Jana Schaich Borg
Assistant Research Professor
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