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Course Outline
Introduction
- Overview of Alteryx
- Understanding Alteryx features
Utilizing Dynamic Tools
- Dynamic select
- Dynamic replace
- Dynamic rename
- Dynamic input
Leveraging Validation and Testing Tools
- Field info
- Message
- Block until done
- Test
- Detour and detour end
Employing API Tools
- JSON parse and JSON build
- Throttle
- Base64 encoder
- API output
- Blob input, convert, and output
- GET and POST requests
- Web scraping and blob
Implementing Scripting Tools
- Run command
- Scripting with Python
- Scripting with R
Summary and Next Steps
Requirements
- Prior knowledge and experience with Alteryx
Target Audience
- Data scientists
- Data analysts
14 Hours
Testimonials (2)
Used good examples, good pace of the training and covered most things
David - McGraw Hill
Course - Data Preparation with Alteryx
Clear explanations with good examples so i could relate to my own line of work.
