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Creating an Analytical Dataset

Course

Learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx.

Learn how to prepare data to ensure the efficacy of your analysis while improving fluency in Alteryx.

Last Updated March 7, 2022

Prerequisites:

No experience required

Course Lessons

Lesson 1

Understanding Data

Understand the most common data types. Understand the various sources of data.

Lesson 2

Data Issues

Identify common types of dirty data. Make adjustments to dirty data to prepare a dataset. Identify and adjust for outliers.

Lesson 3

Data Formatting

Summarize, cross-tabulate, transpose, and reformat data to prepare a dataset for analysis.

Lesson 4

Data Blending

Join and union data from different sources and formats.

Taught By The Best

Photo of Maureen Wolfson

Maureen Wolfson

Instructor

Maureen Wolfson is a Solution Engineer at Alteryx, Inc. She has more than 20 years of data analysis expertise specializing in data, customer and geospatial analysis.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

  • Retain knowledge longer

  • Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

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