Tableau for Data Visualization and Analysis
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Tableau for Data Visualization and Analysis
Instructor: LearnKartS
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What you'll learn
Explore Tableauβs interface to connect data and build visualizations with shelves and tools.
Clean, shape, and blend data to create accurate and effective visualizations.
Create insights using charts, maps, and interactive features.
Build interactive dashboards that unify visuals and drive data-informed decisions.
Skills you'll gain
Tools you'll learn
Details to know
13 assignments
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There are 3 modules in this course
Data is powerfulβonly if you can see the story it tells. This Tableau course will take you from raw data to spectacular visuals and dashboards that make an impact.
You'll start by understanding the essentials of integrating data sources, working with data types, joins, relationships, and blending. Then, by using filters, sets, parameters, and calculations, you can refine and analyze your data. Through immersive demos, you'll see how Tableau brings insights to life through chart types, level of detail expressions, mapping, forecasting, and dashboard design. Discover how to create interactive dashboards using actions, story points, and navigation. You'll also learn how to connect Tableau to third-party systems and R to increase analytical capabilities. From corporate intelligence to forecasting, this course will equip you for real-world data storytelling. Ideal for analysts, business intelligence professionals, and anybody who works with data, this course teaches you how to translate complex datasets into meaningful insights. Ready to make data-driven decisions? Enroll now to bring your insights to life using Tableau.
This module covers the essential Tableau concepts and its advanced techniques. By the end of this module, the learner will have a solid understanding of Tableau fundamentals and advanced features like filters, calculations, and expressions, preparing them to create insightful visualizations and analyses.
What's included
20 videos5 readings4 assignments
20 videosβ’Total 148 minutes
- What Is Tableau?β’5 minutes
- Understanding Data Types and File Formats in Tableauβ’6 minutes
- How to Connect Data Sources in Tableauβ’5 minutes
- Data Model and Relationship, and Joinsβ’4 minutes
- When and How to Use Data Blendingβ’7 minutes
- Connecting Data & Understanding Live Modeβ’8 minutes
- Live Refresh vs Extract Mode in Tableau β’9 minutes
- Full Refresh vs Incremental Refreshβ’8 minutes
- Relationship & Logical Layer in Tableauβ’12 minutes
- Joins in Physical Layerβ’4 minutes
- Data Blending in Tableauβ’10 minutes
- Filters in Tableauβ’10 minutes
- How to Use Sets to Segment Dataβ’6 minutes
- Introduction to Filtering & Data Source vs Extract Filtersβ’7 minutes
- Dimension, Measure & Interactive Filters in Tableauβ’9 minutes
- Context, Cascading, Global & Worksheet Filtersβ’6 minutes
- Creating Calculated Fields in Tableauβ’8 minutes
- Using Rank Functions for Data Analysisβ’3 minutes
- Understanding Tableau Expressionsβ’8 minutes
- DEMO: Level of Detail of Expressionsβ’14 minutes
5 readingsβ’Total 22 minutes
- Introduction and Syllabusβ’2 minutes
- How Companies Use Tableau to Make Faster Business Decisionsβ’5 minutes
- Why Data Modeling Mistakes Lead to Wrong Business Insightsβ’5 minutes
- Why Data Filtering Decisions Can Change Business Outcomesβ’5 minutes
- Summaryβ’5 minutes
4 assignmentsβ’Total 50 minutes
- Tableau Fundamentals β’8 minutes
- Data Relationshipsβ’10 minutes
- Advanced Tableauβ’14 minutes
- Data Connectivityβ’18 minutes
This module covers the advanced Tableau techniques for parameter usage, charting, visualization, geographic visualization, and forecasting. By the end of this module, learners will gain proficiency in utilizing Tableau parameters, enhancing their analytical capabilities in Tableau.
What's included
23 videos4 readings5 assignments
23 videosβ’Total 166 minutes
- What Tableau Parameters Are and Why They Matterβ’4 minutes
- Parameter: Use casesβ’6 minutes
- Introduction to Parametersβ’3 minutes
- Parameters in Filters and Setsβ’9 minutes
- Parameters in Bins and Calculated Fieldsβ’11 minutes
- Advanced Parameter Use Cases and Limitationsβ’10 minutes
- How Tableau Creates Charts and Visualizationsβ’2 minutes
- Default Chart Typesβ’2 minutes
- Understanding the Marks Shelf in Tableauβ’7 minutes
- Additional Chartsβ’9 minutes
- Word Cloud, Sort, and Stack Bar Chartβ’2 minutes
- Default Chart Types in Tableau (Bar, Text, Scatter, Line Basics)β’7 minutes
- Marks Cards Deep Dive (Color, Size, Label, Detail, Tooltip) β’7 minutes
- Advanced Visualizations (Show Me, Dual Axis & Doughnut Pie Chart)β’13 minutes
- DEMO: Additional Two Chart Typesβ’14 minutes
- Creating Geographic Maps in Tableauβ’8 minutes
- DEMO: Creating Mapsβ’11 minutes
- Understanding Forecasting in Tableauβ’7 minutes
- Forecasting Fundamentals & Time Series Conceptsβ’4 minutes
- Forecast Customization, Models & Interpretationβ’6 minutes
- Cluster Analysis in Tableau (Unsupervised Learning)β’6 minutes
- Analytics Pane: Reference Lines, Bands & Trend Linesβ’10 minutes
- Using the Analytics Pane for Advanced Insightsβ’8 minutes
4 readingsβ’Total 20 minutes
- How Interactive Dashboards Improve Business Decision-Makingβ’5 minutes
- Why Choosing the Wrong Chart Can Mislead Decision-Makersβ’5 minutes
- How Location Data Helps Businesses Predict Market Opportunitiesβ’5 minutes
- Summaryβ’5 minutes
5 assignmentsβ’Total 46 minutes
- Tableau Parametersβ’6 minutes
- Tableau Charting Techniquesβ’6 minutes
- Geographic Visualizationβ’8 minutes
- Tableau Forecastingβ’10 minutes
- Parameters, Charting, and Visualizationβ’16 minutes
This module covers advanced topics in Tableau dashboard design, interactivity, integration, and problem-solving. By the end of this module, learners will have acquired proficiency in designing interactive Tableau dashboards, and effectively solving complex Tableau-related problems.
What's included
25 videos3 readings4 assignments
25 videosβ’Total 180 minutes
- What Makes an Effective Tableau Dashboardβ’2 minutes
- Using Tiled vs Floating Dashboard Layoutsβ’1 minute
- Using Dashboard Objects and Componentsβ’8 minutes
- Creating Data Stories Using Story Pointsβ’2 minutes
- Introduction to Dashboards & Basic Creationβ’8 minutes
- Dashboard Space Setup, Tiled Mode & Filtering Basics β’8 minutes
- Interactive Actions, Containers Menu & Floating Conceptβ’7 minutes
- Layout Containers, Text, Image & Navigation Objectsβ’9 minutes
- Export Options, Extensions & Ask Data Featureβ’8 minutes
- Device Preview, Layout Pane & Story Points β’9 minutes
- Using Dashboard Actions for Interactivityβ’9 minutes
- Adding Navigation Between Dashboardsβ’2 minutes
- Introduction to Tableau Actions & Action by Filterβ’11 minutes
- Action by Filter (Advanced Options & Configuration)β’7 minutes
- Action by Highlight & Go to URL Actionβ’13 minutes
- Go to Sheet Action & Change Parameter Actionβ’8 minutes
- Change Parameter & Change Set Values (Advanced Interactivity)β’6 minutes
- Integration of 3rd Party Systemsβ’6 minutes
- DEMO: Integration of R with Tableauβ’14 minutes
- Working of Code Integrationβ’4 minutes
- Tableau Problem Statementβ’2 minutes
- Data Relationships & COVID World Map Visualizationsβ’10 minutes
- Log Axis Dashboard with Interactive Buttonsβ’10 minutes
- Comparative Analysis Charts & Dynamic Region Visualizationsβ’7 minutes
- Interactive Chart Selection Dashboard & Final Dashboard Design β’8 minutes
3 readingsβ’Total 12 minutes
- What Makes a Dashboard Useful for Business Leadersβ’5 minutes
- How Data Integration Improves Enterprise Analytics Accuracyβ’5 minutes
- Course Synopsisβ’2 minutes
4 assignmentsβ’Total 42 minutes
- Interactive Dashboard β’8 minutes
- Dashboard Designβ’6 minutes
- Tableau Integration Principlesβ’10 minutes
- Tableau Dashboards and Integrationβ’18 minutes
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University of Colorado Boulder
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University of Pennsylvania
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Frequently asked questions
This Tableau training course is ideal for various IT professionals, like Business Analysts, Data Analysts, Project Managers, Data Scientists, Statisticians, Analysts, and Business Intelligence Managers who work in the Business Intelligence sector.
Completing theData Visualization with Tableau course will provide you with the knowledge and skills needed to leverage Tableau effectively for visualizing data, conducting analysis, and communicating insights in various professional settings.
No. There is no need for prior experience. However, a basic understanding of data concepts will be helpful.
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Financial aid available,
