Data Analyst’s journey
The Data Analyst studies business logic and applicable documents, and defines the rules and corner cases. They work closely with subject matter experts (SMEs) on data set collection, have a deep understanding of document logic, and tag the data set for model training
What you’ll learn
- An overview of typical machine learning use cases
- Interpreting and measuring data
- How to analyze ML model results and propose ways to improve them
- How to train SMEs to tag documents properly to ensure a high-quality data set
- ML project complete delivery process and more
Your Automation Journey includes 4 courses:
Get to Know Work.AI
Learn about each capability’s value and ease of use. Explore the stages of an automation journey, and how to achieve immediate, scalable results
Start with Work.AI
Gain basic knowledge of how Work.AI Platform works, its applications (Control Tower, WorkSpace, Work.AI Developer), services it uses, and business needs it solves
Data Analysis for Machine Learning
Get an overview of the Machine Learning Data Analyst role, its key responsibilities and best practices of using WorkFusion tools
Data Analyst Exam
Complete a certification assignment that will teach you how to analyze the results of the ML model and how to propose ways to improve them
