The Complete Data Visualization Toolkit Bundle

Learn to choose the right chart type in Tableau by matching data properties and questions to visualizations like line, bar, pie, map, and KPI views.

visualize change over time with line charts and area charts in Tableau, covering discrete vs continuous dates, drilling down, and blending multiple measures.

Learn to build bar charts in Tableau using bar marks to compare cook times, including vertical, horizontal, stacked, and grouped bars, with color and sorting.

Building part-to-whole visualizations with pie and donut charts, showing relative and absolute values and percentages, using gender and enrollee data in Tableau.

Learn to build text tables and call out numbers in Tableau, turning measures and dimensions into clear cross tabs, highlight tables, and multi-measure callouts with practical formatting.

Explore how to visualize distributions with histograms and box plots in Tableau, using age and salary data to compare groups, show whiskers, and identify outliers.

Learn to explore relationships between numerical variables with scatter plots and a correlation matrix, using Pearson correlation coefficients, trend lines, and r-squared and p values.

Explore spatial charts in tableau by building symbol maps and filled maps that visualize total sales and regular customers using geographic fields, geographic roles, and color by region.

Create interactive dashboards in Tableau by arranging multiple views and filters, using containers, and applying legends to highlight insights.

Create a data storytelling flow in Tableau by building a multi-point story from maps, tree maps, histograms, a pie chart, a bar chart, and story points.

Publish a Tableau workbook to share analyses across web and mobile, enabling interactions while optimizing performance by limiting marks and views and choosing embedded versus published data sources.

Load the video game sales Excel file into Tableau. Build two views: a stacked area chart of regional sales by year and a genre tree map of global sales.

Load the customer Excel file in Tableau, then build a fixed-size desktop dashboard with three views—a symbol map, a pie chart, and a histogram—using gender, customer number, and geographic fields.

Apply default and custom aggregations in Tableau to summarize data, using minimum, maximum, count, and count distinct for text and numeric fields.

Explore numeric expressions and automatic calculations in Tableau, applying absolute value, sine, Zn, ceiling, floor, round, min, and max to create new measures from existing fields.

Explore Tableau string functions to format and clean text, including upper and lower, substring, trim, split, len, contains, find, and replace, applied to titles and domains.

Explore how to build calculated fields in Tableau with if, if else, and case when to evaluate stocks versus orders, create an alert field, and color-code results for quick insight.

Explore Tableau analytics pane tools, including subtotals and column or row grand totals. Learn forecasting with exponential smoothing and clustering with k-means to reveal data patterns.

Load the mock visitors IP spreadsheet into Tableau, clean and standardize last name and first name, extract email, standardize gender, and create a Queens address tag in a text table.

Load the woman shopping review CSV into Tableau, then build a fixed-size dashboard with a rating callout, a review callout, a bar chart, and a table.

Join this Tableau journey to explore data integration and analytics and discover this impressive tool, with opportunities to reach out with questions.

Explore Alteryx, a self service analytics tool for data preparation, cleansing, ETL, and analytics, with code free and code friendly workflows, visualization, and spatial analysis.

Watch this video to learn essential information for a successful training experience, including optional downloadable instructor files, how to unzip them, and tips to optimize high-definition playback and speed controls.

Explore Alteryx essentials, an end-to-end data analytics platform that lets you prep, blend, and analyze data with drag-and-drop tools, automate workflows, and connect to 80 data sources and APIs.

Explore Alteryx data types, from strings and alphanumeric to numerics, date time, boolean, and spatial, plus variable length strings and numeric subtypes, with practical type checking via the select tool.

Learn to build an Alteryx workflow with tools and anchors, connect inputs to outputs, and view data in results and browse windows while configuring the output data tool.

Format and cleanse data with the select, sort, and data cleansing tools to convert types to int16 and boolean, rename fields, resize columns, and remove unnecessary data for efficient analysis.

Import a movies data set, clean and optimize fields, replace nulls, and set data types for analysis. Then sort by year and export a Tableau data extract for dashboards.

Master data filtering with basic and custom filters, boolean logic, and true/false outputs, then deduplicate and sample data to ready it for visualization.

Blend data from multiple sources using Alteryx's join and union tools, matching by specific fields or by position, and inspect results with browse outputs.

Discover how to group and summarize data in Alteryx with summarise and group by tools, create totals and averages, and reshape data using cross tab and transpose for visualization.

Explore using the Alteryx formula tool with the select tool to create and modify columns, apply string and numeric functions, and build data preparation workflows.

Explore basic Alteryx functions and conditional statements to format and categorize app data by price and rating, using if-then, inline if, and multi conditional logic.

Configure a switch function to map content ratings to content codes, set a default, and test cases while validating null, empty, and numeric string conversions.

Explore how to parse and format dates using the Alteryx date time tool, converting strings to date times, handling multiple formats, and performing date calculations.

Apply vlookup concepts with Alteryx find and replace to replace or append fields from a reference sheet, using anchors, find options, and replace vs append.

Apply a single expression across many fields with the multi field formula tool, and use if-then-else and is null to replace nulls with zero in Alteryx.

Build an end-to-end Alteryx workflow that cleans and blends movie, rating, director, and actor data using join, filter, union, and summarize tools, then split actors into four columns and save.

Explore basic tips to streamline your data visualization workflows by prepping the canvas, setting orientation and grid, organizing tools with favorites and containers, annotating steps, and using shortcuts.

Learn to visualize data with Alteryx reporting tools, using the table tool to create read-only tables, group data by month, and add bar graphs for income insights.

Learn how to add contextual text to tables using the report text tool, attach and format text, and build interactive charts from cross tab and summarized data.

Consolidate report components using the join multiple tool, then layout a title, bar chart, pie chart, and table with horizontal and vertical layouts, and render the final report to pdf.

Explore how to convert standard workflows into analytic apps or macros in Alteryx, design interfaces, connect input and output tools, and publish apps to a gallery for end-user configuration.

Learn how to create and test a standard macro, convert inputs to macro inputs, configure outputs, and insert the macro into workflows to streamline data cleansing.

Explore geospatial data by converting longitude and latitude into spatial points. Create lines and polygons with the poly build tool to map delivery routes and areas.

Explore measuring area of coverage from a point or centroid with trade area tools, create concentric rings, and compute distances between stores and customers using spatial analytics in Alteryx.

Learn to analyze spatial relationships using the spatial process tool to combine, cut, and intersect mall trade areas, then use the spatial match tool to identify customers within those areas.