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Course Outline
Introduction
- Overview of Alteryx
- Understanding Alteryx features
Using Dynamic Tools
- Dynamic select
- Dynamic replace
- Dynamic rename
- Dynamic input
Using Validation and Testing Tools
- Field info
- Message
- Block until done
- Test
- Detour and detour end
Using 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
Using Scripting Tools
- Run command
- Scripting with Python
- Scripting with R
Summary and Next Steps
Requirements
- Knowledge and experience in using Alteryx
Audience
- Data scientists
- Data analysts
Testimonials
Trainer flexibility in the following areas: 1. Shifting the agenda to address some questions I had which required the introduction of some Alteryx tools which Pedro had initially planned to introduce later. 2. Accommodating actual use cases in our hands-on exercise. 3. Tweaking of the agenda to include some machine learning concepts albeit at a high level.
HK Lim - HK-Lim
Alteryx for Data Analysis Course
That it was quite interactive and there were multiple exercises to practice
John Kim - UBS AG
Data Preparation with Alteryx Course
Easy to follow through
Ta Wei Koh - UBS AG
Data Preparation with Alteryx Course
Present the subject matter in direct and straightforward matters.
Clive Low
Alteryx for Developers Course
The virtual pc setup and connection
Jack Chang - UBS AG
Data Preparation with Alteryx Course
It was very practical, lot of opportunities to use the tool
Krisztian Csuhaj - UBS Business Solutions Poland Sp. z o.o
Alteryx for Developers Course
Trainer knowledge
Łukasz Rózga - UBS Business Solutions Poland Sp. z o.o
Alteryx for Developers Course
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