Alteryx for Data Analysis Training Course

Introduction

Alteryx Overview

  • What is Alteryx?
  • Alteryx features

Preparing the Development Environment

  • Installing and configuring Alteryx

Input and Read

  • Connecting data sources to Alteryx
  • Importing data
  • Using the input tool

Data Wrangling

  • Using data preparation tools and parsing tools
  • Working with joins and unions

Transformations

  • Using various pivot methods
  • Aggregating data

Layouts

  • Reporting layouts
  • Exporting reports

Summary and Conclusion

Data Preparation with Alteryx Training Course

Introduction

Alteryx Overview

  • What is Alteryx
  • Alteryx features

Preparing the Development Environment

  • Installing and configuring Alteryx
  • Navigating the interface

Alteryx Quick Start

  • Importing data
  • Creating and executing a workflow
  • Working with documentation tools and cumulative tools

Data Management

  • Preparing and cleansing data

Data Wrangling

  • Creating custom formulas, algorithms, and calculations
  • Performing data transformations

Data visualization

  • Integrating a BI platform (Tableau, Power BI, etc.)
  • Creating data visualizations
  • Automating reporting

Summary and Conclusion

Alteryx for Developers Training Course

Introduction

Alteryx Overview

  • What is Alteryx?
  • Alteryx features

Preparing the Development Environment

  • Installing and configuring Alteryx

Input Tools

  • Connecting to data sources
  • Writing to a data source
  • Working with the browse tool

Preparation Tools

  • Cleansing, filtering, and sorting data
  • Working with fields and columns

Join Tools

  • Merging data sets
  • Finding and replacing data
  • Matching data

Transform and Parse Tools

  • Calculating totals and averages
  • Transposing data
  • Using regular expressions

In-Database Tools

  • Connecting in-database tools
  • Streaming data

Reporting and Documentation Tools

  • Creating tables and charts
  • Managing tools

Macros and R Programming

  • Creating macros
  • Forecasting with predictive models
  • Embedding R code

Summary and Conclusion