Preparing for the Alteryx Designer Core Exam

In this course, we start by explaining how to import different datasets into Alteryx. By using tools such as data selection, comment, and containers, we emphasize the importance of well laid out and correctly labeled workflows.

Joining data is a fundamental data preparation skill, but that doesn't mean that it's easy. We've configured this course to ensure that the users have a much stronger grasp of this essential skill. This course covers the basics of unions, joins, pivoting, and transposing data.

In this course, we explore the number of ways that Alteryx enables us to connect with our data and share our findings with collaborators or even other programs. It explores tools such as the Dynamic Input tool, various Reporting tools and manually installed tools such as the Publish to Power BI tool.

In almost all projects, we'll need to parse data and perform calculations to facilitate further analysis. In this course we'll look at the parsing and formula tools available in Alteryx.

Help an emerging sushi franchise with a cash flow reporting problem. The company is having difficulty reviewing the financials of its franchisees and would like to generate standardized, up-to-date reports for each of its franchisees. You'll use Alteryx reporting tools to automate this process.

In this project, you'll help a washing machine company that's struggling to prepare complex datasets for business reporting. You'll show WashCo how they can use Alteryx to clean up their revenue data automatically - preventing delays, mistakes and internal confusion.

Through this course, analysts will learn more advanced techniques for parsing and manipulating data through Alteryx. Analysts are introduced to the concepts of Fuzzy Matching and Regular Expressions through a series of lessons.