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Data Storytelling and Data Visualization for presentations
Rating: 4.4 out of 5(44 ratings)
233 students

Data Storytelling and Data Visualization for presentations

Storytelling with data is more than data visualization. Explore ways to make data presentations memorable to all.
Created byÁlvaro Herrero
Last updated 1/2024
English
English [Auto],

What you'll learn

  • Build a storyline from your data analysis
  • Understand the importance of the audience in a presentation
  • Data storytelling that sticks and resonates with your audience
  • Create the right visuals for your story
  • Data Visualization: Which chart is more convenient?
  • How to structure your storyline: Storyboarding

Course content

4 sections • 23 lectures • 1h 35m total length

  • Intro to the chapter1:29

    Learn to analyze your audience and context to tailor data storytelling for presentations, align goals with stakeholders, and prepare for difficult messages, including decision making styles.

  • Getting to know your audience2:19

    Learn what questions you should ask yourself before starting a presentation

  • What's the goal?4:02
  • Delivering a difficult message6:13

    Learn how to prepare when the message to deliver is not aligned with expectations.

  • Case Example: Food delivery app9:33

    Explore a real case study of a food delivery app to boost net promoter score by delivering orders within 45 minutes, analyzing stages from order acceptance to delivery.

  • Wrap-up of key learnings
  • Decision making styles0:03

Requirements

  • These course will help you regardless of the tool (Excel, Tableau, PowerBI...) you use. This applies to all data analysis and data visualization tools.
  • If you do not analyze the data, but just present it, this course will be very helpful for you.

Description

Are you striving to make your data-driven narratives more impactful and memorable? If so, you've come to the right place.

My name is Álvaro and I have 5+ years of experience presenting data to executives in corporate and scale-up environments.


Data itself is important, but how you present it, is critical.

You may have done a great analysis, but if your audience cannot understand it, you won't drive change, people won't remember your data, and your efforts will be in vain.

This is why I've created this course. This course is for people who want to learn how to build great narratives and presentations with data that stick and resonate.


  • If you are an analyst, you will learn how to structure your insights into a story that is remembered and gets people's attention.

  • If you don't analyze data, but you want to learn how to present it, here you will learn how to visualize data and structure your storyline according to the message and audience you're facing.

Data itself is not remembered, but stories have been the main tool to spread wisdom for thousands of years, let's learn how to leverage stories in data presentations.


Do not lose the opportunity to make the difference because the delivery of your data presentation was poor.



Who this course is for:

  • This course is for data analysts or anyone interested in making impactful data presentations at work thanks to storytelling.
  • Analysts looking for jobs in which they need to present a business case

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