Course Description

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.
 

Course Outcomes

  • 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

Training Content

Intro to Data Science in Business

  • Data science landscape
  • Common misconceptions
  • Applications in business and your role

 

Modelling Basics

  • Problem formation
  • Modeling in practice
  • Data

 

The Algorithms

  • Supervised learning
  • Unsupervised learning
  • Deep learning

Data: Error, Noise, and Spurious Correlation

  • Data basics
  • Issues arising from sampling and noise

 

Data Science Project Management

  • Project workflow
  • Identifying projects

 

Performance Measurement

  • Performance metrics
  • Standard data science plots
  • Dashboards and suites of metrics

 

Data Science Project Scoping

  • Technical scoping
  • Nontechnical scoping
  • Collaborative scoping

Post-production Project Life Cycle

  • Monitoring
  • Maintaining
  • Expiring

 

Communicating Impact

  • Storytelling
  • Translating metrics and jargon
  • Engagement

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Launch your career as Data Scientist