About this session
Data storytelling is important in analytics because it allows 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 start by discussing what is the importance of data visualization in storytelling in different industries and what are some common or hidden problems, challenges, and pitfalls surrounding it. We'll discuss with the panel their personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures. We'll talk about the design story that goes behind visualization and understand how one can improve one's visualization skills. Finally, we'll talk about some dos and don'ts and discuss different visualization tools including their pros and cons.
Speakers
Albar WahabData 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 ManeraChief Data Officer at Libro de Pases
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 DesbaratsIndependent Educator & Consultant at Practical Reporting
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, Shopify.
Kristen KehrerDeveloper 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.
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