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Duration 14 hours
Course Outline
Getting Started with Alteryx and the Designer Interface
- Overview of the Alteryx Designer layout and workflow canvas
- Setting up workflows, tool palettes, and workflow attributes
- Best practices for saving, documenting, and sharing workflows
Core 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
Fundamentals of 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
Basic Data Integration
- 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
- Fundamental understanding of data concepts and spreadsheet applications
- Basic familiarity with CSV and Excel file structures
- Entry-level analytical and problem-solving capabilities
Target Audience
- Data and business analysts
- ETL specialists and operations personnel
- Professionals tasked with automating routine data processes