Skip to main content

Home Specialist skills Technology and Software Alteryx: Empowering Data Analysts with Advanced Data Preparation and Analytics

Alteryx: Empowering Data Analysts with Advanced Data Preparation and Analytics

  • bullet point
     Import and export data from various sources using Alteryx
  • bullet point
    Clean and transform datasets to prepare them for analysis
  • bullet point
    Blend and join data from multiple sources effectively
  • bullet point
    Apply advanced analytics techniques to derive insights
  • bullet point
    Design and optimize Alteryx workflows for efficiency and scalability
  • bullet point
    Implement best practices for workflow error handling and maintenance.

Overview

Off the shelf (OTS)

This course is designed for business analysts, financial analysts, and professionals who frequently use Excel and seek to enhance their data processing capabilities. It is particularly beneficial for those aiming to automate data workflows and perform advanced analytics without requiring programming skills.

A basic understanding of data analysis concepts and familiarity with Excel are recommended. No prior experience with Alteryx is necessary.

The Alteryx Training Course provides a comprehensive introduction to data preparation, blending, and analysis using Alteryx's no-code platform. Participants will learn to import and export data from various sources, clean and transform datasets, perform data joins, and apply advanced analytics techniques. The course emphasizes best practices for building efficient and reusable workflows, enabling participants to streamline their data processes and improve decision-making. Practical exercises throughout the course reinforce key concepts and provide real-world context.

Key Topics Covered:
• Importing and exporting data from multiple sources
• Cleaning and transforming data using Alteryx tools
• Performing data joins and blending datasets
• Applying advanced analytics techniques, including linear regression and geospatial functions
• Designing efficient and reusable workflows
• Implementing best practices for workflow optimization and error handling

The course is delivered over two days and includes hands-on exercises and real-world case studies to reinforce learning.

Delivery method
Virtual icon

Virtual

Course duration
Duration icon

14 hours

Competency level
Working icon

Working

Pink building representing strand 4 of the campus map
Delivery method
  • Virtual icon

    Virtual

Course duration
Duration icon

14 hours

Competency level
  • Working icon

    Working

chatbotSpark login – Alpha testing