Introduction to Alteryx

Welcome to “Introduction to Alteryx”. In this course, you’ll dive into the essentials of Alteryx, a powerful data analytics platform that equips you with the skills to streamline your data workflows efficiently. Whether you’re new to data analytics or seeking to enhance your Alteryx proficiency, this course is for you.

Throughout the course, you’ll explore the fundamental components of Alteryx workflows, learn to manipulate and format your data effectively, and gain hands-on experience with basic workflow examples. You’ll master data blending, filtering, and grouping techniques and delve into the dynamic world of parsing data, including dynamic renaming and basic VLOOKUP.

Unlock the potential of Alteryx for reporting and visualization, incorporating best practices for data presentation. Learn to create analytic apps and macros, expanding your capabilities in data analysis. Dive into spatial data analysis, measure areas and distances, and work with spatial objects.

The course’s comprehensive analytics section will guide you through K-centroid clustering, K-nearest neighbor, market basket analysis, logistic regression, linear regression, and tree-based models.

By the end of the course, you should have a robust understanding of Alteryx and the ability to apply advanced analytics to real-world scenarios. Join us today to elevate your data analytics skills and open doors to a world of possibilities.

In this course, students will learn how to:

• Utilize Alteryx workflows for efficient task automation.
• Construct visual workflows proficiently.
• Optimize the favorite tools as key Alteryx building blocks.
• Apply data filtering techniques effectively.
• Employ basic functions for data matching.
• Dynamically rename datasets using Alteryx capabilities.
• Master data parsing techniques.
• Generate on-demand reports through Alteryx functionalities.
• Utilize predictive tools for comprehensive data analysis.
• Develop a K-centroid clustering model.
• Construct logistic regression models.
• Build decision tree-based regressions.
• Implement random forest-based models.

WHAT YOU GET

Certificate of Completion

• Earn a certificate each time you complete a course.
• Showcase your commitment to continuous growth and professional development.
• Impress potential employers.
• Enhance your professional profile.
• Available in PDF format to Download or Print.

INSTRUCTOR

Andrew Pearson

Introducing the extraordinary Andrew Pearson, a dynamic force propelling AI, analytics, and business intelligence to new heights. Andrew leads the charge in implementing cutting-edge solutions across the gaming, casino, finance, hospitality, sports betting, and retail industries. Renowned as an influential author, Andrew has penned several acclaimed books on analytics and AI. His expertise extends to the realm of journalism, where he serves as a noted columnist for esteemed peer-reviewed publications, including The Journal of Mobile and Social Media Marketing, The Journal of AI, Robotics & Workplace Automation, The Journal of Applied Marketing Analytics, ComputerWorld HK, and The Mobile Marketer. Andrew's editorial board membership and VP role in the Grow-uP eSports Association also showcase his commitment to industry advancements. With Andrew as your guide, prepare to embark on an exhilarating journey through the transformative landscapes of AI, analytics, and beyond.