Data Preparation for Analysis with Alteryx

Course Overview

What does this course tell?
(Please note that the following overview content is from the original platform)

Alteryx is a powerful tool to access your data and prepare it for analysis. This course will introduce you to common functions in Alteryx that will help you to cleanse your data to enhance its effectiveness for further analysis.
Data preparation is an essential part of the data science and analytics process. In this course, Data Preparation for Analysis with Alteryx, you’ll learn how to implement steps to access and clean your data for analysis. First, you’ll explore Alteryx functions to help you access and blend your data. Next, you’ll discover how to transform your inputs to meet your needs. Finally, you’ll understand how to sort your data in various ways. When you’re finished with this course, you’ll have the knowledge needed to access and develop a clean data set that will enhance your data analysis work and increase its impact.

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
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What skills and knowledge will you acquire during this course?
By taking this course, participants will acquire skills and knowledge in accessing and blending data, transforming inputs, and sorting data. They will also learn how to use Alteryx functions to cleanse data and make it more effective for further analysis. Additionally, they will gain an understanding of the importance of data preparation in the data science and analytics process.

How does this course contribute to professional growth?
This course will help professionals to develop their data preparation skills, which is an essential part of the data science and analytics process, and will contribute to their professional growth.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it provides an introduction to common functions in Alteryx that can be used to cleanse data for analysis. It covers topics such as accessing and blending data, transforming inputs, and sorting data, which are all essential steps in the data science and analytics process. By the end of the course, learners will have the knowledge needed to access and develop a clean data set that will enhance their data analysis work and increase its impact.