
Learn Tableau basics and its use for turning data into visual insights with drag-and-drop visuals, data sources, data cleaning, and sharing reports via Tableau Server, Tableau Online, or Tableau Public.
Learn how to create calculated fields in Tableau to compute total sales (units x unit cost), build employee names using the left function, and apply an if-else bonus rule.
Explore Tableau extracts vs live connections by building daily snapshots for quick reporting, and learn how to combine US and Europe data using unions and region-based filtering.
Learn to join data from heterogeneous sources in Tableau using cross-database joins and data blending. Connect to Oracle and Excel to create a single, report-ready analytics view.
Explore how Tableau data blending solves cross-source aggregation by comparing actual sales to category-level targets, then visualize and compute the gap with a calculated field.
Explore building an interactive customer segmentation dashboard in Tableau, featuring a map view by region, dynamic bins and parameters for age and balance, and insights from gender and job visuals.
Explore Tableau basics to advanced techniques, including creating dynamic barometer charts and donut dashboards, building interactive dashboards with bins, calculated fields, labeling, and drill-down filters for state and job.
Learn to design interactive Tableau dashboards and stories, using actions to filter charts, apply layouts, add text and images, and export to pdf, image, or powerpoint.
Explore Tableau fundamentals from discrete versus continuous dates to aggregation and granularity, applying filters, date dimensions, and context to analyze unemployment data by age, gender, and period.
Learn to build a dynamic scatterplot in Tableau using sets, parameters, and the power of barometers to compare revenue and expenses across companies, highlight top performers, and enable interactive filtering.
Create and combine dynamic sets and parameters in Tableau to filter revenue, expense, and growth, identify top growth and target quadrant matches, and visualize them in a dashboard.
Create an animated Tableau dashboard showing population, life expectancy, and fertility rate for countries over 50 years. Drill into individual countries using four data sources with joining and pivot techniques.
Learn to build animated scatterplots in Tableau by choosing a primary data source, applying year-based animation, and combining fertility rate, life expectancy, and population with region, size, and color encoding.
Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks, comparative sales, and many more.
You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly
Connect Tableau to a Variety of Datasets and data sources.
Analyze, Blend, Join, and Calculate Data, Cross-database joins
Visualize Data in the Form of Various Charts, Plots, and Maps
Convert Raw Data Into Compelling Data Visualizations Using Tableau 2020
Detailed understanding of Level of details (LOD) with 15 practical examples
Detailed understanding of Table calculations with 10 business examples
Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.
Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.
Contents and Overview
This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.
To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and time series.
Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.
In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.
You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources.
By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.
You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.
Last but not the least, you will able to clear Tableau Specialist and Tableau Certified Associate certifications as well.