Level: Intermediate to Advanced
Prerequisite: None
Data science is the key to business success in the information economy. This masterclass will teach you about best practices in deploying a data science capability for your organization. Stephen Brobst will discuss the necessary skill sets for a successful data scientist and the environment that will allow them to thrive. He will draw a strong distinction between “data R&D” and “data product” capabilities within an enterprise and speak to the different skill sets, governance, and technologies needed across these areas. Best practices in choosing AI/ML approaches will be discussed, along with pitfalls related to model bias, training set selection, goal setting, and model half-life management.
You Will Learn
- How to innovate using data science in the age of AI and machine learning
- The most common mistakes made when performing advanced analytics
- How to deploy data lake, data R&D, and data product capabilities within your organization
- Machine learning, deep learning, and generative artificial intelligence and which use cases work best for which techniques
Geared To
- Data scientists
- Citizen data scientists
- Power users
- BI analysts
- Business and data analysts
- Solution architects
- Big data architects
- Data warehousing specialists
- Business and IT leaders
- Analytics project managers
- Analytics program managers