What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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Recommended experience
Intermediate level
Advanced Alteryx course for those with beginner to intermediate skills. Requires intermediate to advanced Excel knowledge.
Recommended experience
Intermediate level
Advanced Alteryx course for those with beginner to intermediate skills. Requires intermediate to advanced Excel knowledge.
Apply data cleansing, manipulation, binning, and grouping techniques.
Analyze and utilize RegEx (regular expressions) to parse XML data.
Evaluate and manage In-Database processes, including blending, selecting, and summarizing data.
Understand and implement machine learning concepts using the Alteryx Intelligence Suite.
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Dive into advanced data analytics with our Alteryx course:
- Begin by mastering data cleansing, handling multiple files, sampling, and regex for parsing XML. - Enhance your skills with in-database processing, blending, and selecting data efficiently. - Advance to app and macro customization, creating batch macros, and handling errors with conditional logic. - Learn Alteryx's machine learning capabilities, from building models to deploying them for fraud detection and customer segmentation. Designed for data professionals with basic Alteryx knowledge, the course offers hands-on exercises and real-world examples. The end goal is to transform complex data challenges into actionable insights, enabling you to drive informed business decisions.
In this module, we will explore the foundational skills necessary for effective data cleansing and manipulation in Alteryx. You'll start with an introduction to the course and Alteryx's features, move through handling multiple files and sampling techniques, and learn advanced grouping, cleaning, and parsing methods. This section sets the stage for building robust data workflows.
8 videos1 reading1 assignment
In this module, we will delve into the power of in-database processing with Alteryx. You'll learn to perform complex data operations directly within your database environment, enhancing efficiency and scalability. Topics include in-database blending and using select and summarize tools to streamline your data workflows.
3 videos1 assignment
In this module, we will elevate your skills in creating and optimizing apps and macros within Alteryx. You'll gain insights into advanced techniques, batch processing, error handling, and customization. By the end, you'll be able to design sophisticated, efficient workflows and share them with others.
5 videos1 assignment
In this module, we will journey through the comprehensive landscape of machine learning using Alteryx's Intelligence Suite. From foundational concepts to advanced techniques, you'll learn to build, train, deploy, and operationalize machine learning models, tackling real-world business problems with cutting-edge analytics.
5 videos1 assignment
In this module, we will put your knowledge to the test with hands-on exercises designed to consolidate your learning. You'll tackle real-world datasets, apply advanced Alteryx tools, and solve complex data problems. The course concludes with a final thank-you note and a recap of your journey through advanced data analytics with Alteryx.
6 videos1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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