Data Preparation in Alteryx

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

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Kursbeschreibung

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.

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In den folgenden Tracks

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1
Data Cleaning and Preparation
Kostenlos
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.
Kapitel Jetzt Abspielen
What is data cleaning and preparation?
50 xp
Why is clean data important?
50 xp
Preparing and cleansing fields
50 xp
Importing data and modifying fields
100 xp
Cleansing data fields
100 xp
Removing rows and sorting
100 xp
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.
Kapitel Jetzt Abspielen
Filtering and Using Expressions
50 xp
Understanding filter expressions
100 xp
AND, OR and more!
50 xp
Basic and chained filters
100 xp
Custom filters and expressions
100 xp
Combining sort and unique tools
100 xp
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.
Kapitel Jetzt Abspielen
Applying Formulas in Alteryx
50 xp
Making the best expression
50 xp
Formulas and best practices
50 xp
Existing fields and new fields
100 xp
Length and position-based formulas
100 xp
Contains formula and flags
100 xp
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.
Kapitel Jetzt Abspielen
Sampling and Summarizing
50 xp
Applying the right concepts
100 xp
Grouping insights and creating output
50 xp
Top 10 and average sale prices
100 xp
Summary and data output
100 xp
Input data and sampling top 25%
100 xp
Congratulations!
50 xp