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Jason Browning, Ph.D.
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.
Read more
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.
Read more
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.
This course is no longer available. Find something similar by browsing:
Alteryx
Data Cleansing
Data Preparation
Data Analysis
Data Blending
Data Transformation
Data sorting
Register for this course and see more details by visiting:
OpenCourser.com/course/kb9jy6/data
What's inside
Syllabus
Course Overview
Accessing Your Data in Alteryx
Preparing Your Data in Alteryx
Sorting Your Data in Alteryx
Read more
Syllabus
Course Overview
Accessing Your Data in Alteryx
Preparing Your Data in Alteryx
Sorting Your Data in Alteryx
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Practical alteryx for data preparation
According to learners, this course provides a solid foundation in using Alteryx for data preparation. Students highly value the practical skills gained, emphasizing the hands-on approach which helps in mastering core Alteryx functions like data cleansing and data blending. Many found the content clear and well-explained by the instructor, making it particularly beginner-friendly for those new to the tool or data preparation concepts. While it offers essential knowledge for real-world applications in data analysis, some mention that its scope is largely introductory, suggesting it might have limited depth for advanced users seeking complex Alteryx techniques or specific niche scenarios beyond the foundational level.
The explanations are easy to follow and well-structured.
"The instructor explained complex Alteryx concepts in a very understandable way."
"I found the lessons to be very clear and the pacing was just right for a beginner."
"Every module built logically on the previous one, making it easy to grasp the material."
Directly applicable to real-world data preparation jobs.
"The data preparation techniques taught here are exactly what I needed for my analytics role."
"This course immediately improved my efficiency in cleaning data sets at work."
"I can now confidently use Alteryx to streamline my data workflows for reporting."
Focuses on hands-on application of Alteryx for data tasks.
"The hands-on exercises truly helped solidify my understanding of Alteryx workflows."
"I appreciate the practical approach; I can immediately apply what I learned to my daily work."
"This course is great for getting real-world experience with data blending and cleansing in Alteryx."
Excellent for beginners, but limited for advanced users.
"It's a fantastic starting point for Alteryx, but don't expect deep dives into advanced macros or specific use cases."
"I felt it covered the basics really well, but I'll need another course to move beyond beginner topics."
"If you're already familiar with Alteryx, much of this might be review for you."
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
Show steps
Improves understanding of data manipulation techniques that are crucial for data analysis.
Browse courses on
Data Manipulation
Show steps
-
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
Show steps
Strengthens the foundation in data analysis concepts, enhancing comprehension of data preparation techniques.
Browse courses on
Data Analysis
Show steps
-
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
Show steps
Connects students with peers and industry professionals for knowledge sharing and support.
Show steps
-
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
Expand to see all activities and additional details
Show all five activities
Practice Data Blending and Joining
Show steps
Enhances proficiency in combining data from multiple sources for comprehensive analysis.
Browse courses on
Data Blending
Show steps
-
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
Show steps
Develops proficiency in organizing and structuring data for efficient analysis.
Browse courses on
Data sorting
Show steps
-
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.
Review Data Manipulation Techniques
Show steps
Improves understanding of data manipulation techniques that are crucial for data analysis.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- 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
Show steps
Strengthens the foundation in data analysis concepts, enhancing comprehension of data preparation techniques.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- 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
Show steps
Connects students with peers and industry professionals for knowledge sharing and support.
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all five activities
Practice Data Blending and Joining
Show steps
Enhances proficiency in combining data from multiple sources for comprehensive analysis.
Browse courses on
Data Blending
Show steps
Show steps
Show steps
- 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
Show steps
Develops proficiency in organizing and structuring data for efficient analysis.
Browse courses on
Data sorting
Show steps
Show steps
Show steps
- 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
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.
Data Scientist
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.
Statistician
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.
Business Analyst
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.
Data Engineer
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.
Machine Learning Engineer
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.
Data Architect
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.
Database Administrator
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.
Software Engineer
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.
Web Developer
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.
Information Technology Manager
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.
Project Manager
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.
Financial Analyst
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.
Consultant
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.
Researcher
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.
For more career information including salaries, visit:
OpenCourser.com/course/kb9jy6/data
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.
Save
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.
Provides a comprehensive overview of data science concepts. It covers different types of data science algorithms, how to train them, and how to evaluate their results. It valuable resource for gaining a deep understanding of data science.
Provides a comprehensive overview of machine learning techniques using Scikit-Learn, Keras, and TensorFlow. It covers different types of machine learning tasks, how to perform them, and how to evaluate their results. It valuable resource for learning how to use these libraries for machine learning effectively.
Provides a comprehensive overview of data science techniques using Python. It covers different types of data science tasks, how to perform them, and how to evaluate their results. It valuable resource for learning how to use Python for data science effectively.
Save
Provides a comprehensive overview of deep learning techniques. It covers different types of deep learning architectures, how to train them, and how to evaluate their results. It valuable resource for learning how to use deep learning for effectively.
Provides a comprehensive overview of data manipulation techniques using R. It covers different types of data manipulation tasks, how to perform them, and how to evaluate their results. It valuable resource for learning how to use R for data manipulation effectively.
Provides a comprehensive overview of data analysis techniques using Python. It covers different types of data analysis tasks, how to perform them, and how to evaluate their results. It valuable resource for learning how to use Python for data analysis effectively.
Provides a comprehensive overview of feature engineering techniques for machine learning. It covers different types of feature engineering techniques, how to apply them, and how to evaluate their results. It valuable resource for learning how to engineer features effectively.
Provides a comprehensive overview of data analysis techniques using Python. It covers data cleaning, transformation, visualization, and modeling. It valuable resource for learning how to use Python for data analysis.
Save
Provides a comprehensive overview of data mining techniques. It covers different types of data mining tasks, how to perform them, and how to evaluate their results. It valuable resource for learning how to mine data effectively.
Provides a comprehensive overview of machine learning techniques using R. It covers different types of machine learning tasks, how to perform them, and how to evaluate their results. It valuable resource for learning how to use R for machine learning effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kb9jy6/data
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