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The Product Management for AI & Data Science Course 2020

The Product Management for AI & Data Science Course 2020

The Product Management for AI & Data Science Course 2020

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The Complete Course for Becoming a Successful Product Manager in the Field of AI & Data Science.

What you'll learn

  • This course provides a complete overview for a product manager in the field of data science and AI
  • Learn how to be the bridge between business needs and technically oriented data science and AI personnel
  • Learn what is the role of a product manager and what is the difference between a product and a project manager
  • Distinguish between data analysis and data science
  • Be able to tell the difference between an algorithm and an AI
  • Distinguish different types of machine learning
  • Execute business strategy for AI and Data
  • Perform SWOT analysis
  • Learn how to build and test a hypothesis
  • Acquire user experience for AI and data science skills
  • Source data for your projects and understand how this data needs to be managed
  • Examine the full lifecycle of an AI or data science project in a company
  • Learn how to manage data science and AI teams
  • Improve communication between team members
  • Address ethics, privacy, and bias

Description

Do you want to learn how to become a product manager?
Are you interested in product management for AI & Data Science?
If the answer is ‘yes’, then you have come to the right place!
This course gives you a fairly unique opportunity. You will have the chance to learn from somebody who has been in the industry and who has actually seen AI & data science implemented at the highest level.
Your instructor, Danielle Thé, is a Senior Product Manager for Machine Learning with a Master’s in Science of Management, and years of experience as a Product Manager, and Product Marketing Manager in the tech industry for companies like Google and Deloitte Digital.
From security applications to recommendations engines, companies are increasingly turning to big data and artificial intelligence to improve their operations and product offerings. In the past 4 years alone, organizational adoption of AI has grown 270%. And companies are scrambling to find the talent that can manage the product implementation of big data and AI systems. In this context, a product manager serves as the bridge between business needs and technically oriented data science and AI personnel.
Organizations are looking for people like you to rise to the challenge of leading their business into this new and exciting change.
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