
Explore Tableau fundamentals, learn what data visualization and business intelligence mean, and discover Tableau's desktop, server, online, prep, mobile, and public tools for building interactive dashboards.
Download Tableau Desktop from the official website to start a 14-day trial or access the free personal edition for students, install, activate, and explore data sources, resources, and sample workbooks.
Learn to load data into Tableau by connecting an Excel file, using the data source page, and joining tables with a left join for a unified World Cup dataset.
Organize metadata in Tableau by managing fields and dimensions, measures, and calculated fields; create hierarchies, set roles and aggregations, hide unused fields, and customize colors without altering the data.
Learn to connect to web data sources in Tableau online, add them to a workbook, and understand how web data differs from published data sources.
Connect to Excel and text files in Tableau, preview sheets and tables, and set up data sources by identifying columns, rows, and data types for analysis and visuals.
Connect to PDF files in Tableau using the built-in PDF connector and select page ranges. Merge tables, fix headers, remove notes, and apply filters for clean, single-row data.
learn how to join datasets in Tableau by linking key fields to create a single virtual table, combining data sources from Excel files for cohesive analysis.
Learn how Tableau blends data from multiple sources into a single dataset, establishing relationships on common fields, switching primary and secondary sources, and visualizing with dual axis.
Explore bar charts in Tableau, including vertical, segmented, stacked, and side-by-side styles, using color to divide bars by rounds and stadiums for category insights.
Learn to create and customize pie charts in Tableau, converting bar charts, sizing the chart, adding country labels, and applying formatting for clearer, proportional insights.
Learn to create scatter plots in Tableau by mapping two measures to x and y axes, adding trend lines, and customizing color and size.
Learn to create histograms in Tableau by building bins, setting bin sizes, and turning profit into a continuous distribution, then use color, labels, and axis adjustments to compare regional sales.
Create map views in Tableau by assigning geographic roles to fields containing location data, latitude, and longitude, then customize with color, size, and labels on a background map.
Explore Tableau hierarchies, including automatic and custom setups, drill down and up through time levels, and drag to rearrange or remove levels.
Learn to sort data in Tableau, using quick sort on the axis with ascending or descending order, and swap rows and columns for different views.
Practice creating sets and groups in Tableau, contrasting how sets filter data with top eight options and how groups assemble dimension members into new categories.
Filter methods in Tableau empower you to refine data by stadium, using general, wildcard, condition, or top filters; apply interactive filters, keep only or exclude elements, and view filtered results.
Explore how to use Tableau parameters, or barometers, to pass values into visualizations, create numeric sliders, and connect them to filters or calculated fields to control chart behavior.
Explore how to create and customize clusters in Tableau using a Dublin sales dataset, applying cluster analysis to segment data and interpret cluster summaries and models.
Explore time series forecasting in Tableau with continuous date data, adjust forecast options, and evaluate model metrics to predict future values.
Learn to add and customize trend lines on a sales scatter plot in Dublin, choose from five line types, view the trend line description and equation, and edit its appearance.
Explore how to apply colors and shading to worksheets, format headers and grand totals, and tailor labels and percentages of total in charts.
Map geographic data in Tableau using spatial files, featuring polygons, lines, and points. Learn to connect to spatial formats, map geometry, and use color and aggregation to reveal patterns.
Learn how to perform spatial joins in Tableau by intersecting geographic data on geometry fields, combining point and polygon data, and visualizing results on a polygon map.
Discover how to create a density heat map in Tableau, using continuous measures and density gradients to visualize stadiums and World Cup match results with color schemes.
Explore custom geocoding in Tableau to assign latitude and longitude for city data, plot accurate maps, and fix locations by editing locations or importing a coordinates file.
Learn to use Tableau table calculations to quickly create running total and percentage of total, applying them to measures and categories.
Explore level of detail expressions (Elodie expressions) in Tableau to compute values at data source or granularity levels using include, exclude, and fixed.
Master date calculations in Tableau by using make date to combine day, month, and year, and by applying date add and date diff to compute days.
Learn how to perform string calculations in Tableau using built-in functions, including uppercase, lowercase, length, left, and split, by creating calculated fields from fields like product name and order id.
Build a dashboard in Tableau by combining multiple views on a single canvas, enabling interactive filtering and dynamic titles to support analytical, operational, and strategic insights.
Format dashboards in tableau by adjusting fonts, shading, alignment, borders, and graph lines for clear visuals. Build worksheets and maps, apply color scales, and create dynamic titles for readability.
Learn to build a Tableau story by combining worksheets and dashboards into a storyboard, load data, customize titles, and present interactive visuals with captions and story points.
Examine project details within the Tableau fundamentals course to prepare beginners for practical analytics tasks.
Over hundreds of companies today have data struggles but Tableau has brought amazing solutions to all their problems in one place. This course prepares an individual, with little to no prior knowledge of programming or any technical skills, into becoming an expert user of Tableau software.
This course turns you into a professional so that you can add it as a plus to your resume, making it stand out, and also demanding a competitive salary in the marketplace! Doesn’t this sound like it would be a dream come true?
Here you get to learn all the foundational skills and how to apply them. In this course, we walk gradually from the introductory level to the advanced, creation of visualization level.
This course teaches you
- How to connect to different data sources and joining and blending the data
- Usage of a variety of graphs and various visual analytics tools, such as
- Formatting
- Building hierarchies
- Clustering
- Forecasting
- Sets and Group making and parameters
- Spatial files and joining them
- Heat-maps
- Make different types of calculations
- Create dashboards and storyboards, so that you can professionally present your data.
Working with Tableau is absolutely interesting and has a very simple, friendly, drag and drop interface. There are also quizzes for each section in this course and a capstone project at the end, so that all knowledge imparted in this course can be revised once again.
So what are you waiting for … Get Started Now!