
Identify dimensions and measures in Tableau by distinguishing discrete values from continuous data, and understand how dimensions set detail level while measures enable aggregation on a sample superstore dataset.
Compare live and extract data connections in Tableau, choosing real-time updates or scheduled refresh; in-memory extracts with Hyper boost performance.
Explore how to manage metadata for data sources in Tableau by saving as a tds, comparing it to data-inclusive files, and reuse through bookmarks and saved connections.
Learn how to modify data connections in Tableau Desktop to perform left, right, inner, and outer joins, unions, and data blending while observing how joins affect record counts.
Explore cross-database joins in Tableau by linking two data sources on category and subcategory, addressing duplicates with a common key, and comparing join with data blending.
Learn to create basic charts in Tableau Desktop 2020.3, including crosstab and highlighted tables, organize data with dimensions and measures and filters, and apply analytics to visualizations.
Learn to create basic charts in Tableau, identify correlation with scatterplots and crosstabs, and apply bar chart requirements using one or two measures and dimensions, including category and product category.
Create dynamic sets in Tableau with a logical condition to map subcategories by profit, contrasting static groups and using calculated fields to define top 10, 20, or 30 subcategories.
Explore how to add filters in Tableau Desktop 2020.3, including dimension filters, major filters, and time-period range controls (continuous and discrete), with wildcard, contains, starts with, and top-N options.
Learn to manipulate string data in Tableau Desktop 2020.3 with calculated fields, using contains, find, left, right, split, concatenate, replace, trim, and case transformations to extract and format text.
Master date calculations in Tableau by creating calculated fields with now and today, extracting date parts, and using make date, add days, and date difference for dashboards.
Create a histogram with bins to segment customers by spend, then enable dynamic customer segmentation using a parameter barometer and threshold controls in Tableau Desktop 2020.3.
Use a state-based set to drive dashboard actions in Tableau Desktop 2020.3, highlighting profitability across selected states with dynamic color gradient and calculated context adjustments.
Modify existing dashboard labels for mobile devices using Tableau’s device layout, then preview across tablets and phones to test rendering in landscape before deployment.
Create a data story in Tableau by converting dashboards and views into a narrated presentation with story points, highlighting profitability and regional sales.
In this 'Visual Analytics with Tableau Desktop' course, we will learn how to leverage Tableau Desktop to access interactive insights from anywhere. This course will help to familiarize you with the features of Tableau Desktop and the advanced capabilities. Desktop explorers will be able to create workbooks and advanced views, complex dashboards, and data sources in Tableau Desktop.
In this course we will explore:
1. Understanding Tableau Concepts
• Dimensions and measures • Explain what kind of information dimensions usually contain • Explain what kind of information measures usually contain • Discrete and continuous fields • Explain how discrete fields are displayed in Tableau • Explain how continuous fields are displayed in Tableau • Explain the difference between discrete date parts and continuous date values in Tableau • Aggregation • Explain why Tableau aggregates measures • Describe how an aggregated measure changes when dimensions are added to the view
2. Connecting to & Preparing Data
• Create and save data connections • Create a live connection to a data source • Explain the differences between using live connections versus extracts • Create an extract • Save metadata properties in a . TDS • Modify data connections • Add a join • Add a blend • Add a union • Manage data properties • Rename a data field • Assign an alias to a data value • Assign a geographic role to a data field • Change data type for a data field (number, date, String, Boolean, etc.) • Change default properties for a data field (number format, aggregation, color, date format, etc.)
3. Exploring & Analyzing Data
• Create basic charts • Create a bar chart • Create a line chart • Create a scatterplot • Create a map using geographic data • Create a combined axis chart • Create a dual-axis chart • Create a stacked bar • Create a chart to show specific values (crosstab, highlight table) • Organize data and apply filters • Create a visual group • Create a group using labels • Create a set • Organize dimensions into a hierarchy
4. Sharing Insights
• Format view for presentation • Use color • Use bolding • Use shapes • Use viz animations • Change size of marks • Select fonts • Create and modify a dashboard • Create a dashboard layout • Add interactive or explanatory elements • Add dashboard actions • Modify existing dashboard layout for mobile devices • Create a story using dashboards or views • Share a twbx as a PDF • Share a twbx as an image
When learning, learn the latest.
This course is compatible with Tableau Desktop version 10.0, the newest Tableau Desktop version available. You’re getting access to hot-off-the-press features.
There’s no better time to learn Tableau Desktop.
According to the 2018 Gartner's report for BI and Analytics, Tableau is in the leader quadrant. This means more jobs opportunity and stable career growth for you.
You might get stuck. But I’m here to help.
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I’m in the Q&A every day to help you get unstuck. I reply to every question to get you back on track.
I guarantee this is the most engaging Tableau Desktop course available, and it comes with a 30-day money-back guarantee.