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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

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