Module 1: Introduction to Data Analytics and Tableau

• What is Data Analytics?
• Importance of Data Visualization in Analytics
• Introduction to Tableau and Its Features
• Tableau Installation & Interface Overview
• Understanding Data Connections in Tableau

Module 2: Data Preparation & Connection

• Connecting to Different Data Sources (Excel, CSV, SQL, Web Data)
• Data Blending vs. Data Joining
• Working with Live vs. Extract Data
• Data Cleaning and Transformation in Tableau Prep

Module 3: Data Manipulation & Calculations

• Dimensions vs. Measures
• Data Types and Hierarchies
• Creating Custom Calculated Fields
• Using Table Calculations
• Aggregation and Granularity
• LOD (Level of Detail) Expressions

Module 4: Basic Data Visualization

• Creating Basic Charts:
  • Bar Chart, Line Chart, Pie Chart
  • Scatter Plot, Histogram, Heatmap
• Sorting, Filtering, and Grouping Data
• Using Colors, Labels, and Tooltips for Better Visualization

Module 5: Advanced Visualization Techniques

• Dual-Axis & Combined Charts
• Maps and Geographic Data Visualization
• Tree Maps & Bubble Charts
• Waterfall Charts & Gantt Charts
• Motion Charts for Time-Based Data

Module 6: Dashboard & Storytelling in Tableau

• Designing Effective Dashboards
• Adding Filters & Actions to Dashboards
• Creating Interactive Dashboards
• Storytelling with Data: Building a Storyboard
• Best Practices for Dashboard Design

Module 7: Working with Parameters & Advanced Filters

• Creating and Using Parameters
• Dynamic Filters & Slicers
• Cascading Filters and Dependent Dropdowns
• Advanced Date Filters

Module 8: Statistical & Predictive Analytics in Tableau

• Trend Lines and Forecasting
• Reference Lines & Bands
• Statistical Summaries (Mean, Median, Standard Deviation)
• Clustering & Segmentation
• Predictive Modeling Using Tableau

Module 9: Integration & Automation

• Connecting Tableau with R & Python
• Using Tableau with SQL Databases
• Automating Reports and Extract Refreshes
• Publishing and Sharing Dashboards