Live Course Module: Tableau Course for Data Science

Total Duration: 24 Hours (4 Weeks)

---

Week 1: Tableau Fundamentals (6 hrs)

1. Introduction to Data Visualization & Tableau (1 hr)

   • Importance of data visualization in data science

   • Tableau interface and workspace overview

   • Connecting Tableau to different data sources

2. Basic Data Operations (2 hrs)

   • Importing and cleaning datasets

   • Understanding dimensions and measures

   • Data types and hierarchies

3. Building Basic Visualizations (3 hrs)

   • Bar charts, line charts, and pie charts

   • Cross-tabs and highlight tables

   • Customizing visuals with colors, labels, and tooltips

---

Week 2: Advanced Visualization & Analytics (6 hrs)

4. Intermediate Visualizations (2 hrs)

   • Histograms, box plots, scatter plots

   • Dual-axis charts and combined charts

   • Heat maps and tree maps

5. Calculated Fields & Parameters (2 hrs)

   • Arithmetic and logical calculations

   • Using parameters for dynamic control

   • Level of detail (LOD) expressions introduction

6. Data Aggregation & Filtering (2 hrs)

   • Quick filters and context filters

   • Top N filtering

   • Aggregation functions (SUM, AVG, COUNT, etc.)

---

Week 3: Dashboard & Storytelling (6 hrs)

7. Dashboard Design Principles (2 hrs)

   • Creating interactive dashboards

   • Layouts, containers, and formatting best practices

   • Using actions (filter, highlight, URL)

8. Storytelling with Tableau (2 hrs)

   • Building Tableau stories

   • Sequencing dashboards for insights

   • Adding narrative and annotations

9. Data Blending & Joins (2 hrs)

   • Tableau relationships, joins, and blending

   • Handling multiple data sources

   • Extracts vs live connections

---

Week 4: Advanced Features & Project (6 hrs)

10. Advanced Analytics in Tableau (2 hrs)

    • Forecasting and trend lines

    • Reference lines and bands

    • Clustering and statistical summaries

11. Tableau for Data Science (2 hrs)

    • Integrating Tableau with R/Python (TabPy)

    • Predictive analytics dashboards

    • Tableau Prep overview for data cleaning

12. Capstone Project & Presentation (2 hrs)

    • End-to-end project using a real-world dataset

    • Building interactive dashboards & insights

    • Presentation and feedback session

---

Course Outcomes:

• Strong foundation in Tableau for data visualization and analytics.

• Ability to prepare, visualize, and interpret complex datasets.

• Skills to design interactive dashboards and stories for business decisions.

• Hands-on exposure to predictive analytics and integration with data science tools.