Data storytelling and visualization are important in analytics because they allow analysts to communicate insights and findings from data to a wide range of audiences in a way that is understandable, engaging, and memorable.
In this panel, we will be discussing:
- The importance of data visualization in storytelling in different industries.
- Personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.
- Design story that goes into visualization tips on improving one’s visualization skills.
- Different visualization tools.
About the Speakers:
Albar Wahab - Data Scientist at Data Science Dojo
Albar Wahab is a Data Scientist at Data Science Dojo who has a strong knack for data analytics and storytelling. He has worked on various projects involving cloud-based AI and machine learning solutions and extracting business insights from data. He is also an instructor at Data Science Dojo.
Camila Manera - Chief Data Officer at Librodepases
Camila has led an impressive career as a Creative and Data Scientist in her 10 years working in the entertainment industry. In 2022, she was named Women Techmakers Ambassador by Google. Serving as the Chief Data Officer at Libro de Pases, Camila plays a major role in Data.
Nick Desbarats - Independent Educator and Consultant at Practical Reposting
Nick Desbarats is an independent educator and consultant, Nick has taught data visualization and information dashboard design to thousands of professionals in over a dozen countries at organizations such as NASA, Bloomberg, Visa, The United Nations, The University of Toronto, Marathon Oil, and Shopify.
Kristen Kehrer - Developer Advocate at Comet
Kristen is currently a Developer Advocate at Comet sharing about the importance of reproducibility and machine learning monitoring. Kristen was the #8 LinkedIn Top Voice – Data Science & Analytics in 2018. Previously Kristen was a Data Science instructor.
Table of Contents:
00:00 – Introduction
04:55 – What is data storytelling
12:40 – Data storytelling elements
16:25 – Making a compelling analysis
19:35 – Understanding the audience
24:30 – Measuring success
29:00 – Challenges
36:55 – Emerging trends
41:32 – Starting your data storytelling journey
46:45 – QnA
To access other panel talks, check out this playlist: [ Ссылка ]
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