Data Science for Leaders: Building a Data Driven Strategy Training

Data Science User Cases & Frameworks

• What is data science and how is it related to Big Data?
• Data Science Use Cases and Success Stories
• Which frameworks can you use to organize the workflow of a data science project and direct your team?
• Which approaches can you use to find insights using data?

Data Science Tools and Technologies — Reference Architecture

• Which steps are required in the data pipeline from ingestion to analysis?
• Which technologies are available for working with data at various stages of the data pipeline?
• How do different tools and technologies for working with data compare in their functionality, strengths and weaknesses?

Building and Managing a Data Science Team

• Which skills does you data science team need for a robust capability?
• What to look for when hiring data scientists and what to avoid
• How to structure your data science team for maximum input
• Should you buy or build a data science capability and how much can it cost?

Data Science Challenges — Getting it Right

• What are the pitfalls of analyzing data? How can you avoid statistical fallacies?
• Which assumptions do you need to be aware of when prosecuting data science projects?
• How to best visualize data and how to avoid optical illusions and other traps