Tableau Classes San Jose, CA

This two-week course in NYC introduces high school students to the fundamentals of traditional 2D animation, covering the history of animation, important principles of design and animation, a variety of 2D animation techniques, and character design.

This course covers the skills needed to become a data analyst or business analyst, including data analytics fundamentals, data visualization with Tableau, using Python for data cleaning and manipulation, and working with relational databases. One-on-one mentoring is included.

In this comprehensive two-day course, participants can become an advanced Tableau user, able to work with data to create visualizations and use the various tools Tableau has to offer. They will learn to identify datasets to create desired visualizations and then master the Tableau tools on a deeper level to customize their visualizations. By the end of this course, participants will have learned to create maps to represent geographical data, and build actions to control visualizations within sheets and dashboards. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.

In this course, participants will be introduced to the field of data visualization and the various tools Tableau Public offers. They will learn to identify datasets to connect to, explore, analyze, filter, and structure data to create desired visualizations. Beginners will learn to understand and manipulate data in Tableau, create their first visualization, distribute and publish their visualization, and cover topics such as formatting visualizations, Tableau calculations, and creating dashboards and stories. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.

This 2-day comprehensive Tableau course is designed to provide beginners the skills they need to start working in Tableau and creating powerful data visualizations. In the beginner part of the program, students will begin learning the tool's essentials, including data connection, manipulation, and calculation. Then students will begin to create visualizations from their data with charts, graphs, and dashboards. In the advanced section of the course, participants will learn advanced visualization techniques, including data maps, geographic visualizations, and custom charts.

This beginner Tableau course teaches participants the fundamentals of data visualization with Tableau. Students will get started with Tableau through hands-on exercises and practical tools for working with data. This course covers data connections, calculations, data manipulation, data visualization, dashboard creation, and more. Participants will leave comfortable working with data and creating visualizations in Tableau to start deriving insights from data.

In this intermediate-level Tableau course, participants will take their Tableau skills to the next level with advanced visualization techniques. Participants will learn to create data maps, geographic visualizations, custom charts, and more. This 1-day course builds upon beginner-level Tableau skills and teaches students more advanced visualization techniques in Tableau through hands-on exercises.

In this 2-day course, students can learn how to use Tableau Desktop’s advanced tools to create data visualizations. While attending this online program, students will learn how to interact with Tableau Server, prepare their data, enhance their level-of-detail calculations, and integrate Tableau with R. This course uses live instruction by experienced professionals. Students get to learn and gain hands-on experience in an online lab environment.

This 2-day course teaches the fundamentals of Tableau Desktop. Live online instruction will cover topics such as advanced visualizations, forecasting, distributions, trends, using row-level, aggregate, and level of detail calculations. Students will get hands-on experience working with Tableau in the online lab environment. At the end of the program, students will be able to build and customize their own data visualizations.