
Explore Tableau and Paul VI fundamentals in a beginner crash course, learn how data analytics and visual analytics create a competitive edge for businesses, and start applying self-service analytics today.
Explore the Tableau interface, connect to Excel and other data sources, build and manage joins, adjust data types, and perform basic data transformations with public and desktop.
Explore Tableau basics: navigate the interface, manage data sources, distinguish dimensions and measures, build visualizations with drag-and-drop, use Show Me, and customize with filters, marks, and dashboards.
Learn to clean and prepare data in tableau using data interpreter, pivoting, and hiding fields. Import Excel files, remove empty rows and totals, and shape data for visualization.
Explore the Tableau data pane, mastering data types, aliases, calculated fields, grouping, hierarchies, and default properties for cleaner visuals.
master tableau filters with the filter shelf, selecting values and conditions, including ranges, top n, and relative dates, to refine sales by country and ship mode.
See the difference between discrete and continuous dates in Tableau. Learn to switch between bar and line charts and explore date hierarchies by year, quarter, and month.
Explore how to use measure names and measure values to create multi‑measure visualizations in Tableau, including filtering, stacking versus column separation, and color coding.
Learn to build Tableau visuals by dragging measures directly into rows, columns, and the view, creating dual axis charts with bars and lines, and customizing colors and axes.
Learn to build a scatterplot to explore correlations between sales and amount in Tableau, disaggregate data by category and country, color by category, and apply trend lines.
Tableau enables self-service BI with drag-and-drop of dimensions and measures to create tables, maps, pies, treemaps, and box plots. Use Show Me to preview visuals and learn data structure.
Create and use calculated fields in Tableau to build costs and profits from sales data, using sums, aggregations, and currency formatting.
Explore how Tableau creates maps from geographic fields, generating latitude and longitude for countries. Customize color by sales, adjust map backgrounds, and edit locations to refine interactive regional visualizations.
Explore Tableau maps to add measures and visualize data with pie charts across countries, using color, size, and angle via dual axis.
Explore how to build dashboards in Tableau by dragging and dropping worksheets, using containers, and customizing layout with titles, text, images, and web pages for effective data presentation.
Wrap up this Tableau fundamentals for beginners crash course by celebrating your progress, encouraging hands-on practice with your own data, and comparing Tableau with Power BI for real-world use.
You have never used Tableau for Data Analytics / Visual Analytics and Business Intelligence before?
Business Intelligence / Business Analytics is in high demand.
Companies are constantly searching for ways to make better and faster decisions.
Therefore they rely heavily on data.
Data driven decision making is the key to success for any business in the world of tomorrow.
So back to my question at the beginning. You have never used Tableau for Data Analytics / Visual Analytics and Business Intelligence before?
No problem! Let's bring you up to speed in this Tableau training class in less than 3 hours. Welcome to Tableau online training This crashcourse was created to give you a quick and easy way to learn the fundamentals of one of the best self service BI tools today and in the future. (also for setting the foundations for your successful Tableau certification exam preparation)
What is required? Only one thing. You interest and your willingness to learn and grow. The course was designed for students who have never worked with the tool before. We will use Tableau Public which you can download for free so there are no additional costs.
Data is the new Oil and the main competive edge of successful companies. So companies will demand from their employees to work more and more with self service business intelligence tools. This is not only true across departments but also across industries.
You will not only prepare yourself for your future job responsibilities of your current job but already prepare yourself for new opportunities ahead.
"From my personal experience I can tell you that companies will actively searching for you if you master Tableau. Diving into data & analytics can not only immensly improve your career opportunities but also your job satisfaction!"
Tableau is also a great tool for datascience. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore Tableau can often be a valuable skill for datascience jobs.
What we learn in this course might also help you later with your Tableau certification exam.
So what are you waiting for?
Together we have got a lot to do the next 3 hours. So let's dive into it!