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Course Outline
Introduction to Alteryx and the Designer Environment
- Overview of Alteryx Designer interface and workflow canvas
- Configuring workflows, tool palettes, and workflow properties
- Best practices for saving, documenting, and sharing workflows
Essential Data Preparation Tools
- Input Data and Output Data tools: connecting to CSV, Excel, and databases
- Select, Filter, Sort, and Browse for quick data inspection and pruning
- Practical exercises: cleansing a sample dataset
Basic Data Transformation
- Formula tool for calculated fields and conditional logic
- Data Cleansing: handling nulls, trimming, and standardizing values
- Text to Columns and parsing delimited fields
Simple Data Combination
- Join and Union for combining datasets
- Summarize for aggregation and roll-ups
- Hands-on: building an end-to-end ETL workflow
Advanced Data Blending and Parsing (Intermediate)
- Blending multiple data sources and file formats effectively
- Parsing semi-structured data: XML and JSON basics
- Techniques for validating and normalizing blended data
Basic Analytical Tools and Reporting
- Find Replace, Cross Tab, and Transpose for reshaping data
- Creating simple reports and exporting results
- Case study: generating a summarized operational report
Introduction to Macros and Reusability
- Types of macros: Standard Macros and when to use them
- Creating, testing, and packaging a reusable macro
- Deploying macros within workflows to simplify processes
Workflow Automation Best Practices
- Organizing workflows with containers and annotations
- Error handling, logging, and scheduling considerations
- Practical exercise: automating a recurring data preparation task
Summary and Next Steps
Requirements
- An understanding of basic data concepts and spreadsheets
- Familiarity with CSV/Excel file formats
- Basic analytical thinking and problem-solving skills
Audience
- Data analysts and business analysts
- ETL practitioners and operations staff
- Users responsible for automating routine data tasks
14 Hours
Testimonials (4)
The instructor's ability to explain clearly and their robust knowledge
JOSE FERNANDO MELO - MCGRAW-HILL INTERAMERICANA
Course - Alteryx Advanced
Machine Translated
The practical exercises, the course order, and the explanations were clear.
Cristina Morales - SOFI de Chihuahua SA de CV
Course - Alteryx for Data Analysis
Machine Translated
Very clearly articulated and explained
Harshit Arora - PwC South East Asia Consulting
Course - Alteryx for Developers
Linear regression - the algorithm to predict the trend
