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Data Preparation in Alteryx

BasicSkill Level
4.8+
993 reviews
Updated 05/2026
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
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AlteryxData Preparation
3 hr
9 videos
25 Exercises
1,950 XP
10,411
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Course Description

Embark on a transformative journey through the world of data analytics with our comprehensive course on data preparation in Alteryx. Through engaging content and practical exercises, you will learn the critical importance of preparing and cleansing data for analysis, enabling you to extract more accurate and insightful information from your datasets.

Foundations of Data Preparation

Dive into the essentials of data preparation by understanding the significance of clean data and learning to identify and rectify common data quality issues. This section covers techniques for managing missing values, eliminating redundant data, and understanding data types, laying a solid foundation for more advanced data preparation tasks.

Enhancing Data with Filters and Formulas

Advance your skill set by mastering filtering techniques and the art of writing expressions in Alteryx. You'll explore a range of filters, from basic to custom, and learn how to craft expressions that refine your data for analysis. Additionally, the course delves into the application of formulas, teaching you to utilize pre-structured formulas and write efficient expressions tailored to specific data types, thereby expanding your capabilities in data manipulation.

Data Sampling and Summarization Techniques

The course culminates with strategies for sampling and summarizing data, essential skills for any data analyst. You'll learn various sampling methods to extract meaningful subsets of data and employ numerical and string functions to summarize and derive insights from your datasets.

Upon completing this course, you'll grasp the importance of clean data for analytics, gain practical experience with Alteryx Designer, and acquire skills for intermediate analysis, laying a solid groundwork for your data analytics journey.

Prerequisites

Introduction to Alteryx
1

Data Cleaning and Preparation

Accelerate your Alteryx knowledge by exploring data preparation techniques! You’ll learn why clean and prepared data is important for optimal analytics and how to utilize the main data types. You’ll also discover how to recognize “dirty data” and techniques for cleansing data, such as managing missing values and removing unnecessary data.
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2

Filtering and Using Expressions

Expand your data preparation skills in Alteryx by uncovering ways to filter data and write expressions to create subsets of data. Basic and chained filters will be explored, along with custom filters, to get right to the data you need. You’ll learn best practices in writing expressions, including understanding the differences between AND and OR statements, along with helpful tips for correct syntax.
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3

Applying Formulas

Go further into the layers of data preparation by diving deeper into various formulas and how they can be quickly applied in Alteryx. Discover the wealth of pre-structured formulas available and ready to use in the Formula tool, along with techniques for writing efficient expressions based on data types. You’ll learn the difference between length and position-based formulas and methods to update and create new fields.
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4

Sampling and Summarizing

Explore the processes of sampling and summarizing your data, which are essential aspects of data preparation. You’ll learn many options for sampling data, such as finding the top 10 records or obtaining the first N percentage of data, and much more with the Sample tool. You’ll then expand your knowledge of summarizing data using numerical methods like sum, average, and median, as well as string functions like grouping by specific fields hierarchically in the Summarize tool.
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Data Preparation in Alteryx
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FAQs

What is Alteryx?

Alteryx is a comprehensive data analytics and visualization platform that simplifies the process of cleaning, transforming, and analyzing large datasets from various sources without requiring coding skills. It supports predictive modeling, geospatial analysis, and advanced reporting through a user-friendly interface and can automate workflows to improve efficiency. Alteryx is valuable for businesses aiming to make informed, data-driven decisions.

What is Alteryx used for?

Alteryx is used across retail, finance, healthcare, and marketing sectors. It can help analyze sales data, perform risk analysis, detect fraud, identify trends in patient data, predict customer behavior, optimize marketing strategies and supply chains, and aid in forecasting, inventory management, treatment planning, and customer analytics.

Is Alteryx suitable for beginners?

Yes, Alteryx is suitable for beginners, including those from non-technical backgrounds. Its intuitive drag-and-drop functionality allows users to excel in data analytics without needing prior coding knowledge, making it accessible and user-friendly.

What will I learn in this course?

This course teaches data preparation, cleaning, and analysis using Alteryx Designer. You'll learn the importance of cleaning data, identify areas needing cleaning, and use the Preparation Toolset for tasks like removing null and applying formulas. Gain hands-on experience with analysis techniques and best practices to enhance your understanding of Alteryx Designer.

What is the Alteryx Designer Core Certification?

The Alteryx Designer Core Certification is a foundational certification focusing on the basic functionalities of Alteryx Designer. It covers data blending, preparation, and simple analytics workflows and is ideal for beginners with no prerequisites, serving as an excellent starting point for those new to the tool.

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