
Publish and distribute interactive dashboards, stories, and books securely online or on mobile; share with readers, export images or data, and print to pdf for offline access.
Learn how to download and install Tableau, compare desktop, online, and server versions, and understand public data visibility and the option of a free trial.
Explore how to connect to data sources in Tableau, import the Superstore Excel file, choose live or extract connections, and join tables to prep data for analysis.
Edit metadata and save data sources in Tableau by renaming fields, creating hierarchies and folders, and setting formatting and aggregation, then publish the data source to the server.
Extract and refresh data in Tableau using the data source extract option, save the extract, and connect to it for up-to-date analysis of the global superstore Excel dataset.
Connect Tableau data sources by joining related Excel tables, such as orders and order items, using inner join, left join, or outer join via common fields like order number.
Explore advanced data transformation in Tableau by blending two data sources to create cross-source calculations, sum aggregates, and adjust for nulls to display combined state sales.
Connect to MySQL from Tableau by entering server details, port, and credentials, select database and tables, then drag fields to build visuals and derive insights.
This video is about Sorting Tableau Data.
This video is about Grouping Tableau Data.
This video is about Grouping Extended.
This video is about Creating Sets.
This video is about Working with Sets.
This video is about Using Filter Shelf.
This video is about Implementing Quick Filter.
This video is about Filter for TOP and TOP N.
This video is about Filtering Extended.
This video is about Formatting Pane.
This video is about Trend Lines.
This video is about Reference Lines.
This video is about ForeCasting.
Learn to create a calculated field in Tableau to derive commissions from total sales, validate the formula, and apply it to your visualization.
learn how to add column and row totals and subtotals to a Tableau crosstab, toggle grand totals, and customize subtotals to focus on monthly department sales data.
Learn to create a heat map in Tableau that uses color to show relative contributions across months and departments, adjust color scales, and view data in discrete color bands.
Create and interpret box and whisker plots in Tableau to analyze data spread and outliers using the Show Me panel and cross-tab insights.
learn to format cross-tab visualizations in Tableau by adjusting fonts, colors, shading, and row or column banding to improve readability and interpretation.
Resize a visualization by holding the control key and pressing the arrow keys to make it narrower or wider. Maximize screen real estate and improve visibility of the visualization.
Display Tableau visualizations in presentation mode for clarity by hiding UI and using full screen. Access it via the toolbar, Show Me, and the f7 shortcut for a distraction-free view.
Design and publish interactive dashboards by arranging views, text, and images in the dashboard window; choose preset size options, and apply filters and legends across worksheets.
Learn to create dashboard interactivity with highlight and filter actions, defining source and target sheets, and using quick filters and dynamic inputs to filter maps and charts.
Learn how to build interactive, data-driven stories in Tableau by creating story points from sheets and dashboards, adding captions, arranging slides, and preserving interactivity.
Create basic maps in Tableau using city, state, and latitude-longitude data from Excel; explore the Show Me panel, symbol maps, and viewing or exporting underlying data.
Explore map options in Tableau to customize map visuals, including backgrounds, borders, area codes, and overlays, and compare public data like median age across US states.
Master advanced mapping in Tableau by using latitude and longitude to plot branches and polygons, import custom geocoding, and link geocoded data to country and branch fields.
Learn to add background images in Tableau and plot data on them by mapping x and y coordinates from Excel, then customize axes and legends.
Learn to create and rename calculated fields in Tableau, compare regular vs table calculations, and apply formulas like sales minus profit to visualize costs and profit trends.
Learn to create a calculated field in Tableau with sum(profit) and a logical if statement to label profits over 150000 as high profit.
Learn how level of detail expressions (lod) in Tableau compute aggregates like average profit by country, using sum and average, and when to use fixed or include options.
Explore how to build and use table calculations in Tableau, including creating calculated fields, computing running totals, quick table calculations, and ranking profits by time and category.
Master table calculations in Tableau by modifying running totals, choosing cross or along directions and scope, and using compute using and partitioning to customize how totals are computed.
Create a date difference field in Tableau to measure time to ship by country, using datediff between order and ship dates and make date to combine day, month, and year.
Explore string calculations in Tableau by using parameters and the contains function to filter product names by company, then split order id into distribution code, year, and unique identifier.
Learn type calculations in Tableau by creating calculated fields, measuring string length, converting data types, and computing age from birthdates using date differences and today function.
Compare continuous and discrete pills, identify whether a field is a dimension or a measure, and convert between discrete and continuous to shape color palettes and Tableau visuals.
Discover how to integrate R with Tableau by installing and configuring an R server, establishing a local connection, and running scripts whose results feed Tableau visualizations.
Learn to use R with Tableau to create calculated fields and table calculations, identify outliers, and perform clustering to visualize insights.
Tableau is a Data Visualization tool for molding information into various visuals. This course gives an overview of the fundamentals, from normal computations to implementation of various concepts like Integrating Tableau with R, Advance graphs, Formatting Visualizations. After the completion of this course you will be able to: