The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools to perform numerical or general data analysis. This includes capturing and reporting on data to peers, executives, and clients. These professionals must also provide data visualizations in reports or explain data analysis through visualizations.
This course is also designed for students who plan to obtain Tableau Desktop Qualified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.
Tableau® Desktop Certified Associate certification
This course prepares the student to take the Tableau® Desktop Certified Associate exam.
In this course, you will visualize data with Tableau. You will:
Lesson 1: Tableau Fundamentals
Lesson 2: Connecting to and Preparing Data
Lesson 3: Exploring Data
Lesson 4: Managing, Sorting, and Grouping Data
Lesson 5: Saving, Publishing, and Sharing Data
Lesson 6: Filtering Data
Lesson 7: Customizing Visualizations
Lesson 8: Creating Dashboards in Tableau
Lesson 9: Creating Stories in Tableau
Instructor-led Live Online Course
To ensure your success in this course, you should have experience managing data with Microsoft® Excel® or Google Sheets™. You can obtain this level of skills and knowledge by taking the following Logical Operations courses:
Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, as well as an understanding of database design concepts or a background in statistical analysis, will help you get even more out of Tableau. The following courses are helpful but not required:
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