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Data Preparation for Analysis with Alteryx

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.

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What's inside

Syllabus

Course Overview

Accessing Your Data in Alteryx

Preparing Your Data in Alteryx

Sorting Your Data in Alteryx

Summary

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on enhancing data quality, a critical step in analysis

Utilizes a popular industry tool, Alteryx, which enhances its relevance

Covers foundational concepts, making it beginner-friendly

Taught by an experienced instructor with a Ph.D

Provides hands-on practice with Alteryx through the course exercises

Serves as a building block for further data analysis and exploration

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Preparation for Analysis with Alteryx with these activities:

Review Data Manipulation Techniques

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Improves understanding of data manipulation techniques that are crucial for data analysis.

Browse courses on Data Manipulation

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Revisit basics of data types and data structures in Alteryx.
Practice using functions for data cleaning, transformation, and aggregation.
Complete guided tutorials or exercises on data manipulation.

Review Data Analysis Concepts

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Strengthens the foundation in data analysis concepts, enhancing comprehension of data preparation techniques.

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Revisit key statistical concepts, such as measures of central tendency and dispersion.
Review different types of data analysis, including descriptive and inferential analysis.
Explore data visualization techniques for effective data presentation.

Participate in Alteryx Community Forums

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Connects students with peers and industry professionals for knowledge sharing and support.

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Join the Alteryx Community online forums.
Ask questions and participate in discussions related to data preparation.
Share knowledge and help others in the community.

Two other activities

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Practice Data Blending and Joining

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Enhances proficiency in combining data from multiple sources for comprehensive analysis.

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Review different join types and their applications.
Practice using Alteryx tools for inner joins, outer joins, and union operations.
Solve real-world data blending scenarios in Alteryx.

Practice Data Sorting Techniques

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Develops proficiency in organizing and structuring data for efficient analysis.

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Review different sorting algorithms and their applications.
Practice using Alteryx Sort tool for ascending, descending, and custom sorting.
Apply sorting techniques to real-world datasets.

Career center

Learners who complete Data Preparation for Analysis with Alteryx will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst uses mathematical and statistical techniques to derive insights from data. Taking the course Data Preparation for Analysis with Alteryx would help build a strong foundation for a career as a Data Analyst as it teaches how to prepare data to enhance its effectiveness for further analysis, which is a crucial skill for Data Analysts. This course covers accessing your data, transforming your inputs, and sorting your data. All of which are highly relevant to succeeding as a Data Analyst.

See salaries and explore the career path for Data Analyst

Statistician

A Statistician applies statistical methods to collect, analyze, interpret, and present data. The course Data Preparation for Analysis with Alteryx may be useful to a Statistician. The course covers accessing your data, transforming your inputs, and sorting your data in various ways, which are all relevant to a Statistician's work.

See salaries and explore the career path for Statistician

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. The course Data Preparation for Analysis with Alteryx may be useful to a Data Scientist as it focuses on techniques for cleaning, transforming, and preparing data for analysis. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Data Scientist's work.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer develops and maintains machine learning models. The course Data Preparation for Analysis with Alteryx may be useful to a Machine Learning Engineer. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Machine Learning Engineer's work.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

A Data Architect designs and builds the architecture for data storage and management systems. The course Data Preparation for Analysis with Alteryx may be useful to a Data Architect. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Data Architect's work.

See salaries and explore the career path for Data Architect

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data-intensive applications. The course Data Preparation for Analysis with Alteryx may be useful to a Data Engineer. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Data Engineer's work.

See salaries and explore the career path for Data Engineer

Business Analyst

A Business Analyst bridges the gap between business and IT by understanding the needs of the business and translating those needs into technical requirements. The course Data Preparation for Analysis with Alteryx may be useful to a Business Analyst as it can enhance their understanding of how data is prepared and analyzed.

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Software Engineer

A Software Engineer designs, builds, and maintains software applications. The course Data Preparation for Analysis with Alteryx may be useful to a Software Engineer. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Software Engineer's work.

See salaries and explore the career path for Software Engineer

Database Administrator

A Database Administrator manages and maintains databases. The course Data Preparation for Analysis with Alteryx may be useful to a Database Administrator. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Database Administrator's work.

See salaries and explore the career path for Database Administrator

Web Developer

A Web Developer designs, builds, and maintains websites. The course Data Preparation for Analysis with Alteryx may be useful to a Web Developer. The course covers accessing your data, transforming your inputs, and sorting your data, which are all relevant to a Web Developer's work.

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Information Technology Manager

An Information Technology Manager oversees the planning, implementation, and maintenance of computer systems and networks. The course Data Preparation for Analysis with Alteryx may be useful to an Information Technology Manager as it provides a better understanding of how data is prepared and analyzed.

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Researcher

A Researcher conducts scientific research to advance knowledge in a particular field. The course Data Preparation for Analysis with Alteryx may be useful to a Researcher as it can enhance their understanding of data analysis, which can be applied to research tasks such as designing experiments, collecting and analyzing data, and drawing conclusions.

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Financial Analyst

A Financial Analyst evaluates and interprets financial data to make informed investment decisions. The course Data Preparation for Analysis with Alteryx may be useful to a Financial Analyst as it can enhance their understanding of data analysis, which can be applied to financial analysis tasks such as evaluating financial statements, making investment recommendations, and managing risk.

See salaries and explore the career path for Financial Analyst

Consultant

A Consultant provides expert advice and guidance to clients on a variety of business issues. The course Data Preparation for Analysis with Alteryx may be useful to a Consultant as it can enhance their understanding of data analysis, which can be applied to consulting tasks such as developing strategies, solving problems, and making recommendations.

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Project Manager

A Project Manager plans, executes, and closes projects. The course Data Preparation for Analysis with Alteryx may be useful to a Project Manager as it can enhance their understanding of data analysis, which can be applied to project management tasks such as planning, budgeting, and risk management.

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Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Preparation for Analysis with Alteryx.

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Provides a comprehensive overview of data preparation techniques, including data cleaning, transformation, and feature engineering. It valuable resource for learning the fundamentals of data preparation and how to apply them in practice.

Data Preparation for Analysis with Alteryx

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What's inside

Syllabus

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Activities

Career center

Reading list

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