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ALT20G – Alteryx Designer – Advanced Concepts

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This course teaches students higher-level Alteryx abilities and builds on the ALT10G – Alteryx Designer – Core Concepts course. Students will learn more advanced preparation, blending and parsing techniques. Other areas explored include; spatial analytics for creating points, lines and polygons, creating reports for consumption, macros and applications to minimize workflow dependencies, and an introduction to the Alteryx Gallery.

 

This course provides students with the skills required to prepare for the Alteryx Designer Advanced Certification Exam.

Course Outline:

Course Outline:

• Understand Alteryx Designer terminology
• Easily navigate the Alteryx Designer Interface
• Become familiar with Designer User and Workflow Settings
• Be able to share and save workflows

• Advanced Preparation

  • Filtering and cleaning "messy data"
  • Utilizing formulas to reference multiple rows and fields
  • Binning data into respective groups
  • Creating sample sets to prepare data for predictive analytics

• Blending and Parsing

  • Advanced Union and Join practices
  • Appending and replacing fields
  • Fuzzy matching to identify non-identical duplicates
  • Utilizing Regular Expression (RegEx)

• Spatial Analytics

  • Import and clean points, lines and polygons
  • Combine multiple spatial files
  • Gain valuable insights into spatial field
    •        Land area, distance between points, etc.
  • Reporting on results
    • Create interactive charts to showcase cleansed data
    • Customize tables, charts and maps
  • Macros and Applications
    • Automate data cleansing processes by building a macro
    • Allow users without Alteryx Designer to clean data through an application
  • Alteryx Gallery
    • Learn how to navigate the Gallery
    • Share workflows, macros and applications
    • Schedule workflows

Course Audience & Prerequisites:

Audience

This class is for Beginner to Intermediate level Alteryx Designer Users and is appropriate for anyone working with data regardless of their analytical background.

Prerequisites

Course Offerings:

Instructor Led In Classroom

Newcomp can directly deliver courses through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

• Understand Alteryx Designer terminology
• Easily navigate the Alteryx Designer Interface
• Become familiar with Designer User and Workflow Settings
• Be able to share and save workflows

• Advanced Preparation

  • Filtering and cleaning "messy data"
  • Utilizing formulas to reference multiple rows and fields
  • Binning data into respective groups
  • Creating sample sets to prepare data for predictive analytics

• Blending and Parsing

  • Advanced Union and Join practices
  • Appending and replacing fields
  • Fuzzy matching to identify non-identical duplicates
  • Utilizing Regular Expression (RegEx)

• Spatial Analytics

  • Import and clean points, lines and polygons
  • Combine multiple spatial files
  • Gain valuable insights into spatial field
    •        Land area, distance between points, etc.
  • Reporting on results
    • Create interactive charts to showcase cleansed data
    • Customize tables, charts and maps
  • Macros and Applications
    • Automate data cleansing processes by building a macro
    • Allow users without Alteryx Designer to clean data through an application
  • Alteryx Gallery
    • Learn how to navigate the Gallery
    • Share workflows, macros and applications
    • Schedule workflows

Audience

This class is for Beginner to Intermediate level Alteryx Designer Users and is appropriate for anyone working with data regardless of their analytical background.

Prerequisites

Instructor Led In Classroom

Newcomp can directly deliver courses through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

ALT10G – Alteryx Designer – Core Concepts

This course teaches students the building blocks required to complete more complex analytical tasks with Alteryx Designer. Students will gain a thorough understanding of important concepts that will enable them to prepare, parse, blend, transform and analyze data from disparate sources and output their results. This course provides students with the skills required to prepare for the Alteryx Designer Core Certification Exam.  

ALT30G – Alteryx Designer – Predictive Concepts

This course is designed to teach students how to utilize Alteryx to perform predictive analytics. Concepts covered in this course include: Time series, regression, predictive grouping, and how to create an R Macro in Alteryx. Students will learn how to prepare and analyze data before running it through models to ensure to create meaningful predictive investigations.

ALT40G – Alteryx Server Fundamentals

This course teaches students the ins and outs of Alteryx server deployment, including the Gallery, Controller, and Scheduler. Students will review server architectures, learn to appropriately allocate resources, and provision controller and worker nodes, all with an understanding of modern distributed computing.