Alteryx Analytics Tips and Tricks

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Kate Strachnyi

26:45

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01 - Introduction

01 - Whats all the buzz about Alteryx.mp4

00:45

02 - Whos this course for.mp4

00:26

03 - Navigating the Alteryx Designer interface.mp4

01:42

02 - 1. Alteryx Tips for Boosting Efficiency and Productivity

01 - Tip #1 Start data import online.mp4

02:06

02 - Tip #2 Pasting data directly into Alteryx.mp4

01:27

03 - Tip #3 Commenting formulas.mp4

01:31

04 - Tip #4 Adding images to workflow via comment.mp4

01:27

05 - Tip #5 Leverage the data quality bar.mp4

02:03

06 - Tip #6 Auto Field tool and performance.mp4

01:51

07 - Tip #7 Results window filter and sort.mp4

02:46

08 - Tip #8 Drag files from a file folder to Canvas and auto-create input tools.mp4

01:00

09 - Tip #9 Drag and select tools and drag them onto containers.mp4

01:31

10 - Tip #10 Browse tools and performance.mp4

01:54

11 - Tip #11 Profile checkbox where the slowest part of the workflow exists.mp4

01:40

12 - Tip #12 Connection progress on Canvas.mp4

01:15

13 - Bonus tip Keyboard shortcuts.mp4

02:46

03 - Conclusion

01 - Next steps and additional resources.mp4

00:35

Description

It isn’t hard to figure out why Alteryx has become such a popular, talked-about business solution. The easy-to-use, AI-powered analytics platform allows you to streamline and automate data preparation and analytics to boost decision-making outcomes across your enterprise. It’s particularly useful if you’re a data scientist, a data analyst, or a business leader who manages large amounts of data.

Join instructor Kate Strachnyi in this course as she demonstrates analytics tips and tricks to help you get the most out of the Alteryx experience. Learn how to use basic Alteryx tools and functions to prepare and analyze data like a pro, gathering insights for importing and pasting data, commenting on formulas, adding images, using the data quality bar, leveraging the Auto Field tool, filtering and sorting data, troubleshooting, and more. By the end of this course, you’ll be equipped with a new set of analytics techniques to optimize efficiency and business performance.

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Data Science

Data Analysis

Kate Strachnyi

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.