Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Tableau Prep Masterclass - Build and Automate Data Flows

Packt via Coursera

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the full potential of Tableau Prep and become an expert in automating and optimizing your data flows. This course will guide you through the essential components of Tableau Prep, from the Input Step to the Output Step, covering how to streamline and automate data preparation for powerful analysis and insights. You will learn how to transform, clean, and combine datasets with ease, mastering each step of the data flow process to enhance your Tableau experience. Throughout the course, you will begin by understanding the basics, including installation and what Tableau Prep is. You will then dive into the key steps of creating a Tableau Prep flow, such as joining, pivoting, and aggregating data, before learning how to refine your data for sharing and publishing. The course includes a hands-on industry project, where you will work with real-world data to prepare and publish insights directly to Tableau Cloud, automating updates along the way. This course is ideal for anyone looking to refine their data preparation skills and automate data pipelines for more efficient Tableau work. Whether you're a beginner or have experience with data tools, you'll build the skills needed to master Tableau Prep for any project. The course provides step-by-step guidance, ensuring that you can learn at your own pace while tackling industry-relevant challenges. By the end of the course, you will be able to prepare and clean multiple data sources, automate data flows, create reusable pipelines, and publish and schedule data updates seamlessly. You will also be equipped to collaborate efficiently by saving and sharing your results in Tableau Cloud.

Syllabus

  • Introduction
    • In this module, we will introduce you to the structure of the Tableau Prep Masterclass, explaining the key learning objectives. You will also gain a foundational understanding of what Tableau Prep is and how it can streamline your data preparation tasks. Finally, we'll guide you through the installation process to ensure your environment is ready for the course.
  • Components of a Tableau Prep Flow
    • In this module, we will dive into the core components of a Tableau Prep flow, covering the essential steps that will help you clean, combine, and reshape your data for analysis. You will explore each step, from the Input Step for bringing in data to the Output Step for exporting the results. By the end of this section, you'll have a comprehensive understanding of how to structure and manipulate your data effectively within Tableau Prep.
  • End-to-End Industry Project
    • In this module, we will guide you through a comprehensive industry project where you will apply the skills learned throughout the course. You will prepare and transform data from various sources, ensuring it’s ready for analysis. Additionally, you will learn how to save, publish, and automate your Tableau Prep flows in Tableau Cloud, culminating in the creation and publication of an insightful dashboard.
  • Course Summary
    • In this module, we will summarize the key takeaways from the course and reinforce the essential concepts of Tableau Prep. You will revisit the most important techniques and learn how to apply them effectively in your own projects. Finally, we’ll provide guidance on next steps for further developing your data preparation and analysis skills.

Taught by

Packt - Course Instructors

Reviews

Start your review of Tableau Prep Masterclass - Build and Automate Data Flows

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.