A Beginner's Guide to Data Storytelling

A Beginner’s Guide to Data Storytelling


Course Information

Start Date 25 Sep 2024, Wed
Start Date
End Date25 Sep 2024, Wed
Time9.00am to 5.00pm
Mode
FeeSGD 680.00 (excluding GST)
Contact Eunice | 6720 3333 | training.aventis@gmail.com
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  • Overview

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  • Course Outline

Data storytelling is the art of using data and visualisations to communicate a story or message to an audience. It involves combining data, visualisations and narrative elements to create a compelling and informative story that helps the audience understand the data and its implications.

Through your presentation, you achieve three crucial characteristics of data storytelling: memorability, persuasiveness, and engagement. It's also worth noting that discovering critical ideas is one thing, but expressing them is quite another. Both are essential for extracting value from the data your company collects.

The course aims to provide an overview of the data storytelling process, including the importance of identifying the audience and purpose of the narrative. Students will learn how to collect, clean, and analyze data to identify patterns and trends, and how to use data visualization tools to communicate insights effectively. This includes identifying the key insights and trends, developing a narrative arc, and using storytelling techniques to engage the audience and convey the message effectively.

* Learners should have basic understanding in charts and graphs and familiar with data visualisation tools such as Tableau, Power BI or Excel when attending this class.

Earn A Professional Certificate in Data Analytics in 4 Days!

Aventis' Professional Certificate in Data Analytics series aims to provide beginners with a comprehensive understanding of the 4 pillars of data analytics: data management, data analysis, data visualisation, and data storytelling.

Complete these 4 courses and earn your Professional Certificate:

  1. A Beginners Guide to Data Management and Data Reporting
  2. A Beginner's Guide to Data Analysis
  3. A Beginner's Guide to Data Visualisation
  4. A Beginner’s Guide to Data Storytelling

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