Description
Course Overview
This hands-on Data Visualization using Tableau training course offered by Relan is designed to equip participants with the skills and knowledge to transform raw data into impactful and interactive visual stories using Tableau. From foundational concepts to advanced dashboards and analytics, this course guides learners through the essentials of data preparation, visualization, and storytelling to support data-driven decision-making.
Whether you’re a beginner or transitioning into a data role, this course will help you confidently create professional dashboards, uncover insights, and communicate data effectively.
📅 Data Visualization using Tableau Course Details
Duration: 10 Days
Level: Foundation
Mode: In-person / Virtual
🎯 Who Should Attend?
This Data Visualization using Tableau course is ideal for:
✅ Data Analysts and Business Intelligence Professionals
✅ Monitoring & Evaluation Officers
✅ Project and Programme Managers
✅ Statisticians and Data Scientists
✅ Researchers and Academics
✅ Finance and Operations Professionals
✅ Anyone interested in Data Visualization using Tableau for decision-making
🎯 Course Objectives
By the end of this Data Visualization using Tableau course, participants will be able to:
✔ Understand the basics of Tableau and its interface
✔ Connect to various data sources and perform data preparation
✔ Build a wide range of interactive visualizations
✔ Design compelling dashboards and data stories
✔ Implement best practices in data visualization and analysis
✔ Apply filters, parameters, calculations, and sets for deeper insights
✔ Publish and share Tableau dashboards securely
✔ Use Tableau to support real-time decision-making processes
✔ Incorporate Tableau into their reporting workflows
✔ Gain confidence to work with live and extracted data sources
📚 Data Visualization using Tableau Course Outline
📌 Module 1: Introduction to Data Visualization & Tableau
🔹 Importance of data visualization
🔹 Tableau ecosystem and versions
🔹 Tableau interface overview
🔹 Understanding Tableau terminology
📌 Module 2: Connecting to Data Sources
🔹 Supported data formats
🔹 Connecting to local and cloud data
🔹 Data extraction vs live connections
🔹 Data interpreter and cleaning options
📌 Module 3: Data Preparation in Tableau
🔹 Using Data Interpreter
🔹 Pivoting and splitting data
🔹 Creating hierarchies and groups
🔹 Blending and joining datasets
📌 Module 4: Creating Basic Visualizations
🔹 Bar charts, line graphs, pie charts
🔹 Scatter plots, maps, and tables
🔹 Dual-axis charts
🔹 Sorting and filtering basics
📌 Module 5: Calculated Fields and Table Calculations
🔹 Simple and logical calculations
🔹 Level of Detail (LOD) expressions
🔹 Running totals and percent change
🔹 Using calculations in visualizations
📌 Module 6: Parameters and Filters
🔹 Types of filters and their use cases
🔹 Creating and using parameters
🔹 Context filters and cascading filters
🔹 Dynamic filtering in dashboards
📌 Module 7: Advanced Visualization Techniques
🔹 Heat maps, bullet charts, Gantt charts
🔹 Custom tooltips and annotations
🔹 Using shapes and images
🔹 KPI indicators and conditional formatting
📌 Module 8: Building Interactive Dashboards
🔹 Dashboard design principles
🔹 Creating multi-sheet dashboards
🔹 Actions: filter, highlight, URL
🔹 Dashboard layout and responsiveness
📌 Module 9: Storytelling with Data
🔹 Creating stories in Tableau
🔹 Narrative flow with dashboards
🔹 Using annotations and highlights
🔹 Effective data communication
📌 Module 10: Publishing and Sharing Dashboards
🔹 Tableau Public vs Tableau Server
🔹 Exporting and embedding dashboards
🔹 Security and user access control
🔹 Real-world project & final presentation
