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 Duration 14 hours

Course Outline

Introduction to Alteryx and the Designer Interface

  • Overview of the Alteryx Designer interface and workflow canvas
  • Configuration of workflows, tool palettes, and workflow properties
  • 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 functions for rapid data inspection and refinement
  • Practical exercises: cleaning a sample dataset

Fundamental Data Transformation

  • Formula tool for creating calculated fields and applying conditional logic
  • Data Cleansing: managing null values, trimming, and standardizing entries
  • Text to Columns for parsing delimited fields

Basic Data Integration

  • Join and Union tools for merging datasets
  • Summarize tool for aggregation and roll-up operations
  • Hands-on exercise: constructing an end-to-end ETL workflow

Advanced Data Blending and Parsing (Intermediate)

  • Effective blending of multiple data sources and file formats
  • Basics of parsing semi-structured data: XML and JSON
  • Methods for validating and normalizing blended data

Basic Analytical Tools and Reporting

  • Find Replace, Cross Tab, and Transpose tools for data reshaping
  • Generating simple reports and exporting results
  • Case study: producing a summarized operational report

Introduction to Macros and Reusability

  • Types of macros: Standard Macros and their appropriate use cases
  • Creating, testing, and packaging reusable macros
  • Integrating macros into workflows to streamline processes

Workflow Automation Best Practices

  • Organizing workflows using containers and annotations
  • Considerations for error handling, logging, and scheduling
  • Practical exercise: automating a recurring data preparation task

Summary and Next Steps

Requirements

  • A solid grasp of fundamental data concepts and spreadsheet usage
  • Experience with CSV and Excel file formats
  • Foundational analytical thinking and problem-solving abilities

Target Audience

  • Data analysts and business analysts
  • ETL practitioners and operations team members
  • Individuals tasked with automating routine data operations

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