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Michael Barone

Looking to significantly shorten your time from raw data to actionable knowledge and insight? Learn to use Alteryx, a user-friendly, code-free solution that allows you to spend your time analyzing your data instead of gathering your data.

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Looking to significantly shorten your time from raw data to actionable knowledge and insight? Learn to use Alteryx, a user-friendly, code-free solution that allows you to spend your time analyzing your data instead of gathering your data.

When working with data to gain insightful, actionable knowledge, it has long been known that the lion’s share of the process lies within data extraction and preparation. Alteryx can re-balance that scale, leaving you significantly more time to realize value from your data. In this course, Alteryx Designer: Getting Started, you will gain the ability to work efficiently within the Alteryx Designer platform. First, you will learn to move and navigate around the user interface. Next, you will discover how to read in data from virtually any data source, and filter/blend/manipulate the data in order to gain that all-important actionable knowledge. Finally, you will explore how to visualize your data in a distribution ready report, and deploy that report to any number of recipients, all in one place - Alteryx Designer. When you’re finished with this course, you will have the skills and knowledge of Alteryx Designer needed to create your own repeatable workflows. Software required: Alteryx Designer version 2018.3 or higher (course utilizes version 2018.4).

What's inside

Syllabus

Course Overview
Your First Look at Alteryx
Pulling Your Data into Alteryx
Filtering Data
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops valuable, actionable knowledge from raw data, which is an asset in any field
Focuses on practicing skills over extensive theoretical discussions
Introduces the time-saving benefits of Alteryx, which can be useful for professionals
Taught by Michael Barone, who is recognized for their work in data analytics and visualization
May require learners to purchase software Alteryx Designer version 2018.3 or higher
Assumes learners have a basic understanding of data analysis, which may not be suitable for beginners

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Reviews summary

Alteryx designer: essential data skills

According to learners, this course is an excellent starting point for anyone new to Alteryx Designer, providing a clear and concise overview of essential data manipulation and workflow creation. Students particularly praise the hands-on labs, practical examples, and helpful demonstrations which make complex concepts easy to grasp. Many found the content directly applicable to professional tasks, enabling them to efficiently automate data processes and generate reports. While widely acclaimed as perfect for beginners, a few suggest that intermediate users might find it too simplistic, needing additional resources for advanced topics.
Instructor explains concepts with great clarity and effectiveness.
"Instructor was clear and concise."
"The instructor's explanations are crystal clear, and the pace is just right."
"The instructor's delivery is excellent."
"The material is presented in an easy-to-digest format by the instructor."
Teaches skills immediately useful for data tasks and automation.
"I feel confident using Alteryx now for data prep at work."
"I've already started applying these skills to automate reports. It's a great investment of time."
"The content is practical and directly applicable. ... how to set up workflows efficiently."
"I highly recommend this course for anyone looking to automate their data processes."
Features highly beneficial hands-on labs and practical demonstrations.
"The hands-on examples were incredibly helpful, and I loved that it started from the very basics."
"I appreciated the practical exercises. ... a solid foundation for beginners."
"The step-by-step guidance and practical demonstrations truly helped me grasp the concepts quickly."
"I specifically enjoyed the hands-on labs that allowed me to practice what was taught immediately."
Provides an excellent and clear introduction to Alteryx Designer.
"Absolutely fantastic! This course made Alteryx so easy to understand. ... Instructor was clear and concise."
"Excellent course for anyone new to Alteryx. The step-by-step guidance ... helped me grasp the concepts quickly."
"Perfect for beginners! This course breaks down Alteryx into manageable chunks. The instructor's explanations are crystal clear..."
"I came in with no prior experience and now feel comfortable building my own workflows."
Strong for basics but may lack depth for intermediate users.
"The course is okay. It introduces Alteryx, but I felt it could have gone into more advanced topics or real-world scenarios beyond the very basics."
"If you're completely new, it's a good start, but intermediate users might find it too simplistic."
"It got me familiar with the interface, but I still needed to look up additional resources for specific problems at work."
"I gained a basic understanding from this course, but I don't expect to be an expert after completing it alone."

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 Alteryx Designer: Getting Started with these activities:
Organize your course materials
Stay organized by creating a system for managing your course materials, such as notes, assignments, and readings. This will make it easier to review and reference information.
Show steps
  • Create folders and subfolders on your computer or in a cloud storage service.
  • Categorize and file your materials according to topic or module.
  • Use a note-taking app or software to organize your notes and keep track of key concepts.
Review data analysis fundamentals
Strengthen your foundation in data analysis by reviewing core concepts and techniques. This will help you better understand the principles behind Alteryx and its functionality.
Show steps
  • Go through your notes or textbooks from previous data analysis courses or workshops.
  • Take online quizzes or practice exercises to test your understanding of statistical concepts.
  • Read articles or blog posts on data mining techniques.
Create a glossary of Alteryx terminology
Enhance your understanding of Alteryx by creating a glossary of key terms and concepts. This will serve as a valuable reference resource for future use.
Show steps
  • Identify important terms and concepts from the course materials, tutorials, and documentation.
  • Define each term clearly and concisely.
  • Organize the terms in a logical manner, such as alphabetical order or by category.
  • Consider adding examples or illustrations to enhance understanding.
Two other activities
Expand to see all activities and additional details
Show all five activities
Practice building data ingestion and transformation workflows
Build your skills in data ingestion and transformation by practicing with different data sources and scenarios.
Browse courses on Data Ingestion
Show steps
  • Create a new Alteryx workflow.
  • Import data from a variety of sources, such as CSV files, Excel spreadsheets, and databases.
  • Transform the data using Alteryx's built-in tools for filtering, sorting, aggregating, and joining.
  • Create visualizations to explore the transformed data.
Challenge yourself with advanced Alteryx scenarios
Expand your Alteryx expertise by tackling advanced scenarios that involve complex data structures, algorithms, and integrations. This will push your limits and prepare you for real-world challenges.
Show steps
  • Seek out or create datasets that present complex challenges, such as large volumes of data, missing values, or non-standard formats.
  • Design and implement Alteryx workflows that employ advanced techniques, such as predictive modeling, machine learning, or data mining.
  • Experiment with different workflow configurations and optimization strategies to improve performance and accuracy.

Career center

Learners who complete Alteryx Designer: Getting Started will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, processes, and analyzes data to provide insights and help organizations make better decisions. This course can help you become a Data Analyst by teaching you how to use Alteryx Designer, a powerful tool for data preparation and analysis. Alteryx Designer can help you automate data extraction, cleaning, and transformation, freeing up your time to focus on analysis and insights. Additionally, this course will teach you how to visualize your data in a variety of formats, making it easy to communicate your findings to others.
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing business processes and developing solutions. This course can help you become a Business Analyst by teaching you how to use Alteryx Designer, a tool that can help you automate data collection, analysis, and reporting. Alteryx Designer can help you identify trends, patterns, and opportunities, which you can then use to make recommendations for improvement.
Data Scientist
A Data Scientist uses data to develop predictive models and solve business problems. This course can help you become a Data Scientist by teaching you how to use Alteryx Designer, a tool that can help you automate data preparation, analysis, and modeling. Alteryx Designer can help you build predictive models quickly and easily, without having to write code.
Market Researcher
A Market Researcher collects and analyzes data to understand consumer behavior and trends. This course can help you become a Market Researcher by teaching you how to use Alteryx Designer, a tool that can help you automate data collection, analysis, and reporting. Alteryx Designer can help you identify trends, patterns, and opportunities, which you can then use to develop marketing campaigns and strategies.
Financial Analyst
A Financial Analyst uses data to make investment recommendations and analyze financial trends. This course can help you become a Financial Analyst by teaching you how to use Alteryx Designer, a tool that can help you automate data collection, analysis, and reporting. Alteryx Designer can help you identify trends, patterns, and opportunities, which you can then use to make investment recommendations.
Operations Research Analyst
An Operations Research Analyst uses data to solve operational problems and improve efficiency. This course can help you become an Operations Research Analyst by teaching you how to use Alteryx Designer, a tool that can help you automate data collection, analysis, and modeling. Alteryx Designer can help you build predictive models and simulations, which you can then use to optimize operations and improve efficiency.
Statistician
A Statistician uses data to collect, analyze, interpret, and present data. This course can help you become a Statistician by teaching you how to use Alteryx Designer, a tool that can help you automate data collection, analysis, and reporting. Alteryx Designer can help you identify trends, patterns, and opportunities, which you can then use to make informed decisions.
Data Engineer
A Data Engineer designs and builds data pipelines and systems. This course can help you become a Data Engineer by teaching you how to use Alteryx Designer, a tool that can help you automate data collection, transformation, and loading. Alteryx Designer can help you build data pipelines quickly and easily, without having to write code.
Database Administrator
A Database Administrator manages and maintains databases. This course can help you become a Database Administrator by teaching you how to use Alteryx Designer, a tool that can help you automate data extraction, transformation, and loading. Alteryx Designer can help you manage and maintain databases more efficiently, freeing up your time to focus on other tasks.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who want to learn how to use Alteryx Designer, a tool that can help automate data collection, analysis, and reporting. Alteryx Designer can help Software Engineers build data-driven applications more quickly and easily.
Web Developer
A Web Developer designs and develops websites and web applications. This course may be useful for Web Developers who want to learn how to use Alteryx Designer, a tool that can help automate data collection, analysis, and reporting. Alteryx Designer can help Web Developers build data-driven websites and applications more quickly and easily.
Computer Scientist
A Computer Scientist researches and develops new computer technologies. This course may be useful for Computer Scientists who want to learn how to use Alteryx Designer, a tool that can help automate data collection, analysis, and reporting. Alteryx Designer can help Computer Scientists build data-driven applications more quickly and easily.
Information Systems Manager
An Information Systems Manager plans, implements, and manages information systems. This course may be useful for Information Systems Managers who want to learn how to use Alteryx Designer, a tool that can help automate data collection, analysis, and reporting. Alteryx Designer can help Information Systems Managers build data-driven systems more quickly and easily.
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful for Project Managers who want to learn how to use Alteryx Designer, a tool that can help automate data collection, analysis, and reporting. Alteryx Designer can help Project Managers track project progress and identify risks more quickly and easily.
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be useful for Technical Writers who want to learn how to use Alteryx Designer, a tool that can help automate data collection, analysis, and reporting. Alteryx Designer can help Technical Writers create data-driven documentation more quickly and easily.

Reading list

We've selected 15 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 Alteryx Designer: Getting Started.
This practical guide to data science with Python provides a solid foundation for working with data in a general-purpose programming environment.
Provides a comprehensive overview of data preparation techniques and tools, making it a valuable resource for anyone looking to gain a deeper understanding of this critical aspect of data science.
This engaging book explores the art and science of storytelling with data, providing valuable insights into how to communicate data effectively.
This thought-provoking book explores the ethical and societal implications of data science, providing valuable insights for anyone working with data.
Provides a solid foundation in data science concepts and techniques, which can be helpful for understanding the broader context of Alteryx Designer's capabilities.
This comprehensive guide to using R for data science provides a solid foundation for working with data in a statistical programming environment.
This practical guide to using Python for data analysis provides a solid foundation for working with data in a general-purpose programming environment.
This comprehensive guide to using Spark for big data analytics provides a solid foundation for working with large and complex datasets.
This comprehensive guide to machine learning with Python provides a solid foundation for understanding the underlying concepts and algorithms.
Provides a comprehensive overview of statistical concepts and methods, which can be useful for understanding the statistical underpinnings of Alteryx Designer's tools.
This practical guide to deep learning with Python provides a solid foundation for understanding the underlying concepts and algorithms.
Covers the deployment and management of Alteryx solutions in an enterprise environment, which can be valuable for those who are responsible for implementing Alteryx within their organizations.
Covers advanced data analysis techniques in Alteryx, such as statistical modeling and machine learning, which can be beneficial for those who want to explore these areas.

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