Designing Data & AI Products

DataCamp · Beginner ·📊 Data Analytics & Business Intelligence ·2y ago

Key Takeaways

The video discusses the importance of design in data and AI products, covering fundamentals of design, best practices, and collaboration between data professionals and designers.

Original Description

Data and AI practitioners often end up focussed on the technical aspect of their job. When building a product, you simply ask "Can I make something that works?". That means that other important questions like "Is this product usable?" get missed. Good design is essential for users to adopt your data or AI product, so it's important for anyone working in data or AI to have design literacy. In this webinar, you'll learn about the fundamentals of design, how good design can help your data product, and how data and design teams can work together. Key Takeaways: - Understand what every data professional should know about design. - Learn about best practices for designing data and AI products. - Learn how data professionals can work with designers to create great products. Designed By Us https://designedbyus.org Cognitive Experience Design https://cognitiveexperience.design [WEBINAR] Report Design Best Practices in Power BI: https://bit.ly/49UGtsV [WEBINAR] Dashboard Design Best Practices in Tableau: https://bit.ly/4a106iY [COURSE] Dashboard Design Concepts: https://bit.ly/3GmcTz1
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This video teaches data and AI practitioners the importance of design in product development, covering design fundamentals, best practices, and collaboration with designers. By the end of the video, viewers will understand how to create user-friendly data and AI products. Good design is essential for user adoption, and data professionals should have design literacy to create successful products.

Key Takeaways
  1. Understand design fundamentals
  2. Learn best practices for designing data and AI products
  3. Collaborate with designers to create great products
  4. Apply design principles to data products
  5. Improve product usability
💡 Good design is essential for users to adopt data and AI products, and data professionals should have design literacy to create successful products.

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