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Data Analysis and Dashboard Design with Tableau · LearnSpace
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Data Analysis and Dashboard Design with Tableau

Курс от Edureka
Средний≈ 13 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course takes your Tableau skills to the next level by introducing advanced analytical techniques that enable deeper insights, smarter decision-making, and scalable dashboard design. You’ll begin by strengthening your foundation in calculations, learning how to create dynamic calculated fields, apply conditional logic, and define consistent business rules across analyses. This allows you to move beyond basic reporting and build logic-driven insights directly within Tableau. From there, the course explores time-based analytics, helping you analyze trends, compare performance across periods, and uncover patterns using techniques such as year-over-year analysis, running totals, and moving averages. These capabilities are essential for understanding how business performance evolves over time. The course then advances into Level of Detail (LOD) expressions and analytical visualization techniques. You’ll learn how to control data granularity, resolve aggregation challenges, and design sophisticated visualizations that reveal relationships, distributions, and outliers within complex datasets. Finally, you’ll focus on integrating advanced analytics into production-ready dashboards. This includes extending Tableau’s capabilities using tools like Python and TabPy, as well as designing high-performance dashboards that are scalable, interactive, and optimized for real-world deployment. By the end of this course, you will be able to: • Develop advanced calculated fields using functions, aggregations, and data types to support analytical workflows. • Apply conditional logic to model business rules and decision-making scenarios. • Analyze time-based data using comparative metrics, table calculations, and trend analysis. • Use LOD expressions to control granularity and improve analytical accuracy. • Build scalable, high-performance dashboards optimized for enterprise use. • Extend Tableau analytics using external tools such as Python and TabPy. Designed for learners who already understand the basics of Tableau, this course is ideal for data analysts, BI professionals, and business users looking to enhance their analytical capabilities and build more powerful, insight-driven solutions. To be successful in this course, you should have prior experience with Tableau fundamentals, including data connections, basic visualizations, and simple calculations. Elevate your Tableau expertise and unlock the ability to turn complex data into meaningful, business-ready insights.

Навыки, которые вы освоите

Tableau SoftwareInteractive Data VisualizationTime Series Analysis and ForecastingGeospatial Information and TechnologyBusiness IntelligenceDashboardPerformance ReportingData ModelingR ProgrammingKey Performance Indicators (KPIs)Spatial Data AnalysisData StorytellingData MappingAdvanced AnalyticsData Visualization SoftwareOperational Performance ManagementPython ProgrammingRequirements ElicitationVersion ControlInteraction Design

Программа курса

4 модулей · 96 учебных материалов

01The Analytics Builder’s Toolkit: Calculations, Logic, and Time Series31 материалов

Foundations of Calculated Fields and Functions

Specialization IntroductionВидеоCourse IntroductionВидеоWelcome to Data Analysis and Dashboard Design with TableauЧтениеCreating and Validating Calculated FieldsВидео

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Edureka

Преподаватель курса

Data Analysis and Dashboard Design with Tableau
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Обучение на Coursera

≈ 13 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Arithmetic, String, and Date FunctionsВидео
Understanding Data Types in CalculationsВидео
Row-Level vs Aggregate CalculationsВидео
A Systematic Approach to Debugging Calculated FieldsЧтение
Using Describe Function to Understand Field BehaviorВидео
Foundations of Calculated Fields and FunctionsЗадание

Conditional Logic: From IF to CASE and Beyond

Introduction to Logical OperatorsВидеоImplementing Boolean Calculations and Logical FlagsВидеоDesigning Conditional Calculations with IF-ELSEВидеоHandling NULLs in Conditional LogicЧтениеConditional Mapping Using CASE StatementsВидеоChoosing Between IF and CASE in Tableau for Effective Conditional LogicЧтениеCreating Business Rules in TableauВидеоNested Conditions: Design and MaintainabilityЧтениеConditional Logic: From IF to CASE and BeyondЗадание

Time Intelligence for Business Analytics

Time Analysis ConceptsВидеоAnalytical Insights Through Time Series Analysis in BI SystemsЧтениеDate Structures, Hierarchies, and Dynamic FilteringВидеоCalendar vs Fiscal Date Calculations in Business IntelligenceЧтениеYear-over-Year and Month-over-Month AnalysisВидеоTable Calculations - Addressing, Partitioning, and ScopeВидеоRunning Totals and Moving AveragesВидеоCommon Time Intelligence PitfallsЧтениеTime Intelligence for Business AnalyticsЗадание

Module Wrap-Up and Assessment

Reflecting on Calculations, Logic, and Time IntelligenceDIALOGUESummary: The Analytics Builder’s Toolkit: Calculations, Logic, and Time SeriesЧтениеThe Analytics Builder’s Toolkit: Calculations, Logic, and Time SeriesЗадание
02Enhanced Dashboards: LODs, Visual Analytics, and Geospatial Intelligence33 материалов

Granularity Mastery: LOD Expressions & Execution Control

Granularity & Aggregation Foundations in TableauВидеоTableau Order of Operations & Execution PipelineЧтениеFIXED LOD Expressions: Concept, Syntax & Modeling PatternsВидеоINCLUDE and EXCLUDE LOD Expressions: Dynamic Scoping & ContextВидеоData Modeling and LOD CalculationsЧтениеPowering Insights in Tableau: LOD and Table CalculationsВидеоLOD with Filters – Context, Dimension & Extract BehaviorВидеоLOD with Parameters – Dynamic User-Controlled GranularityВидеоPerformance an Optimization of LOD ExpressionsЧтениеGranularity Mastery: LOD Expressions & Execution ControlЗадание

Analytical Visualization and Statistical Reasoning

Bridging Analytical Calculations to Advanced VisualizationsВидеоAnalytical Interactivity with Parameters: Dynamic ControlsВидеоMulti-Measure Visualization: Dual Axis & Combined Chart DesignВидеоDesigning KPI Systems with Bullet Charts and BenchmarksВидеоAdvanced KPI Visualization Strategy and Common PitfallsЧтениеVariance & Flow Analysis – Waterfall and Funnel ChartsВидео

Geospatial Intelligence and Spatial Analytics Engineering

Spatial Data Foundations – Geographic Roles and Spatial Data TypesВидеоSymbol, Filled and Layered MappingВидеоDensity Mapping and Spatial Pattern AnalysisВидеоSpatial Joins and Custom GeocodingВидеоSpatial Statistical Analysis - Distribution, Clustering and PatternsВидеоSpatial Dashboard Design – Interactivity, Filters and Layered ContextВидео

Module Wrap-Up and Assessment

Reflecting on LODs, Visual Intelligence, and Geospatial InsightsDIALOGUESummary: Enhanced Dashboards: LODs, Visual Analytics, and Geospatial IntelligenceЧтениеEnhanced Dashboards: LODs, Visual Analytics, and Geospatial IntelligenceЗадание
03Integrated Analytics: From Tools to Dashboard Delivery27 материалов

Analytics Using Native Tableau Capabilities

Architecting Advanced Analytics in TableauВидеоDesigning Advanced Table Calculation Patterns for Business ScenariosВидеоParameter-Driven What-If Analysis and Scenario ModelingВидеоVisual Performance Benchmarking and Contextual AnalyticsВидеоForecasting and Trend Modeling with Native Tableau ToolsВидеоNative Analytics vs External Analytics: Decision FrameworkЧтениеAnalytics Using Native Tableau CapabilitiesЗадание

Extending Tableau with Python and TabPy

Advancing Tableau Analytics Through Python IntegrationВидеоPython vs Native Tableau Analytics ЧтениеThe TabPy Execution Model: How Tableau Connects to PythonВидеоInstalling and Configuring TabPy (Step-by-Step Guide)ЧтениеWalkthrough: A Python-Powered Calculated Field in ActionВидеоPractical TabPy Use Cases - Clustering, Scoring, and PredictionВидео

Dashboard Engineering: Performance, Scalability & Production Deployment

Engineering Dashboards for Performance and ScalabilityВидеоAdvanced Layout Techniques - Dynamic Zone Visibility & Adaptive DesignВидеоAdvanced Filter, Highlight, and Parameter Action PatternsВидеоScaling Dashboard InteractivityВидеоPreparing Workbooks for Server Publishing and Team CollaborationВидеоDashboard Quality: Testing, QA, and Version ControlВидео

Module Wrap-Up and Assessment

Reconnecting Analytics, Integration, and Dashboard DeliveryDIALOGUESummary: Integrated Analytics: From Tools to Dashboard DeliveryЧтениеIntegrated Analytics: From Tools to Dashboard DeliveryЗадание
04Course Wrap-Up and Assessment5 материалов

Course Conclusion

Practice Project: Sales Intelligence and Analytical Modeling in TableauЧтениеStep Into the Analyst’s Seat: Tableau ChallengeDIALOGUEEnd Course Knowledge Check: Data Analysis and Dashboard Design with TableauЗаданиеThe Insight Engine: Building a Modern Tableau-Driven BI Ecosystem ЗаданиеCourse SummaryВидео
Statistical Reference Modeling – Trend Lines, Bands & DistributionsВидео
Clustering & Outlier Detection – Pattern Analysis with Analytics PaneВидео
Comparative Visualization DesignВидео
Analytical Visualization and Statistical ReasoningЗадание
Map Performance, Optimization and Best PracticesЧтение
Integrating Maps with Non-Spatial VisualizationsВидео
Advanced Mapping References and Evolving Best PracticesЧтение
Geospatial Intelligence and Spatial Analytics EngineeringЗадание
Operationalizing TabPy: Performance Trade-offs, Security, and Best PracticesЧтение
R Integration via Rserve - Architecture Overview and Comparison with TabPyЧтение
Extending Tableau with Python and TabPyЗадание
From Development to Production - Tableau Deployment Readiness ChecklistЧтение
Dashboard Engineering: Performance, Scalability & Production DeploymentЗадание