Data storytelling is what turns a correct analysis into one that people act on. Most analysts can make a chart; the skill that sets you apart is explaining what the data means, why it matters, and what should happen next, in a way your audience can follow.
In this final module you'll learn how to structure a data story, choose what to show and what to leave out, and present your findings to business stakeholders. You'll then shift to career prep: building a data analyst portfolio with real projects and getting ready for analyst interviews.
When you're done, put everything you've learned into practice with the Projects section.
An introduction to data storytelling for analysts, on going beyond making a chart to making someone care about what it shows.
How to turn data into decisions using the storytelling approach used by consultants at leading firms.
Eight practical tips for telling better stories with data, from a working data analyst.
How to build a strong data analyst project portfolio that helps you land interviews and secure a job.
A conversation with career coach and author Nick Singh, founder of Data Lemur, sharing insider tips on analyst interviews and portfolio projects.