Drive innovation in your organization
Despite the excitement about the new technologies and the efforts to adopt a data-driven culture, organizations fail to provide real business value. According to Gartner Research and Harvard Business Review more than 80% of Data Science projects fall short of expectations, mostly, due to lack of middle management adoption and understanding. Yet to this day, managers face the difficult task of managing new technologies that disrupt legacy practices. They have to understand the potential of their team and most importantly, when AI works, and when it does not!
In this course we equip you with the ability to lead a Data Science team and identify opportunities that can turn data into business value.
Understand the technical jargon and be able to communicate at a technical level with your team
Manage the complete life cycle of a data science project
Identify AI opportunities in your organization that bring real business value
Build a culture of data and develop data-driven strategies
Data Science Fundamentals
Intro to Data Science in Business
Data basics, metrics and project scoping
Data: Error, Noise, and Spurious Correlation
Data Science Project Management
Data Science Project Scoping
Project communication and working in production
Post-production Project Life Cycle