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
Requirements
No prior experience is required.
We will start from the very basics
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.
