Tableau in Practice - A Step by Step Complete Course

Connect to data engines in Tableau, clear the sheet, and select a region to visualize discrete values and aggregates using the visual language of data.

Learn how to connect to diverse data sources in Tableau and perform joins such as left, right, and full outer to combine orders data.

Connect to diverse data sources, including SQL Server, Vertica, Redshift, Google Analytics, and Google Sheets, by configuring servers, signing in, and selecting databases to retrieve data for visualization in Tableau.

Manage data source connections, metadata, and field properties in Tableau, including dimensions, calculated fields, groups, splits, and data types for precise visualization.

Learn to create and configure data extracts in Tableau, including selecting sources, editing extract settings, adding entities, and saving extractions, while evaluating when extracts improve performance over live connections.

Learn how Tableau joins tables and blends data sources, using inner, left, right, and full outer joins to link data and handle unmatched values in a single view.

Explore data blending in Tableau by combining primary and secondary sources, using aggregate results, and applying filters to analyze sales and shipping data.

Compare profits across departments and regions using bar charts, drag fields to columns, sort data ascending or descending, and explore variations to analyze performance.

Visualize dates and times in Tableau using a date hierarchy and line charts, exploring discrete versus continuous dates and heat maps to reveal seasonal patterns.

Explore how a Gantt chart visualizes a sequence of processes, highlights dependent tasks, and lets you adjust dates to see the impact on timelines and orders.

Explore tree maps using nested rectangles to visualize hierarchical relationships and high-cardinality dimensions, with region-based examples.

Learn to create area and pie charts in Tableau, color by category, view totals and records, and compare charts with histograms and Gantt charts.

Visualize distributions by regionalizing data and using an average line to compare total profit across regions, while applying jittering and index techniques to reduce overlap for clear visualization.

Explore box and whisker plots to analyze distributions, learn how the upper and lower whiskers extend to 1.5 times, and identify the maximum, minimum, and median.

Visualize multiple x variables with scatter plots to compare different measures and analyze correlations between variables across entities.

Learn to create dual axis and combination charts in Tableau, enabling side by side comparison of measures such as profit and sales using bar and line visuals with customized axes.

Master pro-level aggregate and level of detail calculations in Tableau to extend analysis, fix data analysis problems, and add dimensions and measures using calculated fields.

Learn to create row-level calculations in Tableau by building calculated fields, concatenating first and last names, applying the split function, and using if statements to conditionally shape data.

Study aggregate level calculations in Tableau, calculating price per square foot from area and price, and compare level of detail calculations using fixed, include, or exclude dimensions with aggregate functions.

Define a parameter in Tableau as a bottom feeder, a global value with a placeholder, then set its type and default, displaying it as sliders or drop-downs to update calculations.

Explore Tableau analytics and visualization by adding a reference band to analyze promotional demand, set minimum values, and examine data across dimensions.

Master quick table calculations in Tableau to apply predefined calculations to any field, compare differences to previous values, and visualize changes with color and graphs.

Explore year-over-year sales growth with running totals, table calculations, and differences. Filter by department and region, using late filtering, sort by department, and reveal trends in furniture and technology.

Learn how to add values to visualizations in Tableau, including creating reference lines, adjusting formatting, and applying average, median, and distribution bands to highlight trends and subtotals.

Build dashboards that tell a story with worksheets, filters, and visuals. Create views such as profit by category and a country map with trend lines for guided analysis.

Learn how to create and customize a Tableau dashboard from scratch, adding sheets like profit by state and country, arranging layouts, and applying filters to tell a complete data story.

Learn to build data stories with dashboards in Tableau by combining worksheets, adding filters and legends, and exploring guided analysis and trendlines to tell clear insights.

Explore building and interacting with a Tableau dashboard: apply and manage filters, switch between sheets, view profit calculations, configure actions, and edit visuals and titles for a polished layout.

Learn to create a story in Tableau by adding captions, adjusting story size, and using caption boxes to analyze and save your dashboard narrative.

Explore data densification and formatting in Tableau by analyzing the superstore December profit, adjusting dimensions and measures, and applying formatting options, reference lines, annotations, and bar or line visualizations.

Apply worksheet level formatting to control fonts, alignment, shading, borders, and grid lines across sheets and dashboards for consistent, clear data visuals.

Explore clustering in Tableau to group related data points, such as real estate listings, reveal geographic patterns, and visualize clusters with colors, trendlines, and map views.

Explore trendline models in Tableau using real estate data, comparing linear, logarithmic, exponential, and polynomial fits to price.

Explore clustering, distribution, and forecasting in Tableau by visualising population trends from 1960–2015, creating views, and comparing China, India, and the United States with trend lines.

Explore how to apply distribution bands in Tableau using reference lines and forecast features, focusing on real estate price analytics and 60% or 80% of the average.

Explain tall versus wide data by placing each distinct measure in a single column and aligning the level of detail. Tall data uses more rows; wide data uses more columns.

Learn to create a dumbbell chart in Tableau that compares profit by product category across east and west regions, using size, color, and marks for clarity.

Learn how slope charts reveal changes in values over time and enable state- and period-based comparisons using real datasets like the superstore and hospital data.

Explore advanced data visualization in Tableau through building a lollipop chart, selecting multiple fields, filtering by department, and customizing color, size, and labels.

Learn how sparklines (small line graphs) enable at-a-glance comparison by visualizing minimum and maximum values across categories such as appliances, with year or quarter filters.

Learn to build a water chart in Tableau that shows the grand total and profit by department across the dataset, using sum and average revenue to compare profits.

Learn how to build and present a Tableau data story by combining multiple sheets and dashboards, then print, export, and share it online or with server users.