Mastering Data Visualization in Tableau and Python (Two Courses in One) – Introductory Module

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About Course

This two‑in‑one course offers a practical introduction to data visualization using both Tableau and Python. You will learn how to connect to real-world data sources, build interactive dashboards in Tableau, and create a wide range of static and statistical visualizations in Python using libraries like Matplotlib and Seaborn. Step by step, the course shows you how to transform raw data into clear, compelling visual stories that support data‑driven decision‑making.

What Will You Learn?

  • Create interactive dashboards and visualizations in Tableau, including maps, bar charts, line charts, heatmaps, and more.​
  • Build a wide range of static and statistical visualizations in Python using Matplotlib and Seaborn, such as histograms, scatter plots, 3D plots, and violin plots.​
  • Understand data granularity, aggregation, and how to choose the right chart type to communicate insights effectively.​
  • Connect to and prepare real-world datasets, then turn them into compelling visual stories that support data-driven decision-making.

Course Content

Introduction

  • Introduction to Data Visualization
    00:00

Tableau Fundamentals

Designing Interactive Visualizations with Tableau

Project Based Learning to Create Interactive Dashboards in Tableau

Data Visualization Using Matplotlib in Python

Data Visualization Using Seaborn in Python

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