Ninety percent of all the world's data was generated in the last two years. Every 2 days, we generate as much data as all of humanity did up to 2003. What is your business doing with all that data?

The Business of Data Science is a 2-day course that teaches business leaders how to harness the power of data science and artificial intelligence for your organization. You’ll learn the fundamentals of data science and how to utilize it to make better business decisions in your organization.

Attend The Business of Data Science and learn how to:

Understand data science fundamentals.

Explore the basics of data science, machine learning and artificial intelligence.

Identify profitable data projects.

Learn how to find the most profitable data science projects to enhance your products and your business.

Develop a data-driven work culture.

Understand and build data science teams and initiatives.

Avoid common pitfalls and obstacles.

Recognize and sidestep common problems and obstacles with your data science projects.

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 Who Should Attend

Product professionals and business leaders who want to understand data science, and those who work with data professionals.

 Key Deliverables Covered

Data science project structures, best practices and tools.

OTHER COURSES: Foundations | Focus | BuildMarket | Launch | Price

Pricing and Registration

Public Training
$2,190USD

Price is for the 2-day course; early bird discounts available.


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Private Training

Have a whole team ready to expand their data skills?

Contact our account team about private training for your company.

LEARN MORE

Looking for the latest in product and data science? Get our articles, webinars and podcasts.

Uncover the power of data

Curious to know how someone becomes a modern-day data scientist for some of the biggest digital companies in the world? Then check out this podcast featuring Dr. Becky Tucker, senior data scientist at Netflix. See how she got her start and how she wound up at the world’s largest streaming service.

Welcome the Revolution

Learn about how data science and machine learning are impacting the product industry. This is a must read for all product professionals looking to leverage the potential of data to improve their business.