Data Manipulation with Alteryx

Course Feature
  • Cost
    Free Trial
  • Provider
    Pluralsight
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    2.00
  • Instructor
    Jason Browning
Next Course
2.5
0 Ratings
This course provides an introduction to Alteryx, a data manipulation tool, and its common functions to help users optimize their data for further analysis. Learn how to use Alteryx to enhance the effectiveness of your data.
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Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

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

This course will introduce you to common functions in Alteryx that will help you to manipulate your data to enhance its effectiveness for further analysis.
Alteryx is a powerful tool for data analysis. In this course, Data Manipulation with Alteryx, you’ll learn how to implement steps to manipulate your data to enhance its effectiveness for further analysis. First, you’ll learn about Alteryx functions to help you prepare your data. Next, you’ll examine how to create crosstabs, summarize, and transpose your data. Finally, you’ll learn how to use delimiters, create custom time and date formats, and convert text into columns. When you’re finished with this course, you’ll have the knowledge needed to manipulate your data in way 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:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
Learners can learn how to use Alteryx functions to prepare data, such as creating crosstabs, summarizing, and transposing data. They can also learn how to use delimiters, create custom time and date formats, and convert text into columns. Additionally, learners can gain an understanding of how to manipulate data to enhance its effectiveness for further analysis, and how to use Alteryx to increase the impact of their data analysis work.

[Applications]
Upon completion of this course, Data Manipulation with Alteryx, learners will be able to apply the knowledge gained to manipulate their data in order to enhance its effectiveness for further analysis. Learners will be able to use Alteryx functions to prepare their data, create crosstabs, summarize, and transpose their data. They will also be able to use delimiters, create custom time and date formats, and convert text into columns. With this knowledge, learners will be able to increase the impact of their data analysis work.

[Career Paths]
1. Data Analyst: Data Analysts use Alteryx to manipulate data to gain insights and inform decision-making. They use Alteryx to clean, organize, and transform data into meaningful information. Data Analysts are in high demand as businesses increasingly rely on data-driven decisions.

2. Business Intelligence Developer: Business Intelligence Developers use Alteryx to create data visualizations and dashboards. They use Alteryx to create interactive reports and dashboards that help businesses make informed decisions. As businesses become more data-driven, the demand for Business Intelligence Developers is increasing.

3. Data Scientist: Data Scientists use Alteryx to analyze large datasets and uncover patterns and trends. They use Alteryx to explore data, build predictive models, and develop insights that can be used to inform decision-making. As businesses become more data-driven, the demand for Data Scientists is increasing.

4. Data Engineer: Data Engineers use Alteryx to design and build data pipelines. They use Alteryx to extract, transform, and load data from multiple sources into a data warehouse. As businesses become more data-driven, the demand for Data Engineers is increasing.

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