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 Duration 14 hours

Course Outline

Introduction to Alteryx and the Designer Environment

  • 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

Essential Data Preparation Tools

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

Basic Data Transformation

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

Simple Data Combination

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

Advanced Data Blending and Parsing (Intermediate)

  • Effectively blending multiple data sources and file formats
  • Parsing semi-structured data: XML and JSON fundamentals
  • Methods 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: creating a summarized operational report

Introduction to Macros and Reusability

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

Workflow Automation Best Practices

  • Structuring 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 grasp of fundamental data concepts and spreadsheet usage
  • Knowledge of CSV and Excel file structures
  • Essential analytical thinking and problem-solving abilities

Target Audience

  • Data analysts and business analysts
  • ETL specialists and operations personnel
  • Individuals tasked with automating routine data processes

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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