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
Testimonials (3)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
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.
