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The Power of Storytelling
Do you often get asked to tell a story or answer a question with your data? Do you often find it hard to make compelling visuals to really give impact or drive decision making? Does your audience often leave without understanding the key points from your analysis? Come to this courses to learn how to create compelling data visualisations that inform and drive action.
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What you'll learn
Storytelling with Data
- How to use key plotting libraries in Python such as matplotlib, seaborn and altair
- The best practices when it comes to data visualisation
- How to identify and include key information to get the right message across
- The difference between functional graphs, opinions and data storytelling
The schedule
The program consists of both theory and hands-on exercises.
- What is data storytelling
- Why is data storytelling an important skill today?
Python for visualisation
- How to use Python libraries matplotlib, seaborn and altair
- How to make simple visualisations
- How to add to your visualisations to share more information
- The benefits of different plotting libraries and when to use each one
Visualisation best practices
- Choosing the right graph for your use case
- Information design best practices
- Labelling visualisations for impact
- Impactful colour palettes
Apply storytelling to your graph
- How to use meaningful narratives
- Objective vs Subjective graphs
- How to make neutral graphs
- The difference between storytelling and opinion
learning journey
Data Science Learning Journey
Juan Manuel Perafan
Analytics EngineerJuan is an Analytics Engineer with a passion for data visualization and programmatic solutions. His mission is to make organizations become data-driven using user-friendly tools like Tableau, Power BI, or Fivetran.