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 Duration 14 hours

Course Outline

Introduction to Alteryx and the Designer Environment

  • Exploration of the Alteryx Designer interface and workflow canvas
  • Configuration of workflows, tool palettes, and workflow properties
  • Best practices for saving, documenting, and sharing workflows

Essential Data Preparation Tools

  • Input and Output Data tools for connecting to CSV, Excel, and databases
  • Using Select, Filter, Sort, and Browse for rapid data inspection and refinement
  • Practical exercise: cleansing a sample dataset

Basic Data Transformation

  • The Formula tool for calculated fields and conditional logic
  • Data Cleansing techniques: managing nulls, trimming, and standardizing values
  • Text to Columns and parsing delimited fields

Simple Data Combination

  • Using Join and Union to combine datasets
  • Summarize tool for aggregation and roll-ups
  • Hands-on session: constructing an end-to-end ETL workflow

Advanced Data Blending and Parsing (Intermediate)

  • Effective blending of multiple data sources and file formats
  • Parsing semi-structured data: fundamentals of XML and JSON
  • Techniques for validating and normalizing blended data

Basic Analytical Tools and Reporting

  • Find Replace, Cross Tab, and Transpose 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 applications
  • Creation, testing, and packaging of reusable macros
  • Integration of macros within 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 foundational understanding of data concepts and spreadsheet management
  • Proficiency with CSV and Excel file formats
  • Basic analytical thinking and problem-solving abilities

Target Audience

  • Data analysts and business analysts
  • ETL practitioners and operational staff
  • Professionals responsible for automating routine data tasks

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