Data Visualization with Python, PowerBi and Tableau

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Course Prerequisite(s)

  • Please note that this course has the following prerequisites which must be completed before it can be accessed
  • Python Core
  • SQL Core

About Course

Data Visualization with Python, Power BI, and Tableau is designed for learners who already have a solid understanding of Python and want to master the art of turning raw data into compelling visual stories across multiple industry-standard tools.

The course begins with Python’s powerful visualization libraries such as Matplotlib, Seaborn, Plotly, and Folium to create static, animated, and interactive charts, dashboards, and geospatial visualizations. Learners will then extend these skills to Power BI and Tableau, learning how to translate analytical insights into polished, interactive dashboards suitable for business and decision-making environments.

By the end of the course, learners will be able to choose the right visualization for the right insight, build end-to-end data stories, and confidently present data using Python, Power BI, and Tableau.

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What Will You Learn?

  • Fundamentals of data visualization and design principles
  • How to use Matplotlib for basic and customized plots
  • Creating statistical plots with Seaborn
  • Building interactive charts and dashboards with Plotly and Dash
  • Visualizing geospatial data using Folium and Choropleth maps
  • Advanced visuals: waffle charts, word clouds, sunburst plots
  • Best practices for storytelling with data
  • Dashboard layout and interactivity for non-technical audiences

Course Content

Module 1: Introduction to Data Visualization

  • Data Visualization Principles
  • Data Types and Sources
  • Choosing the Right Tool
  • Ethical Considerations
  • Industry Use Cases

Module 2: Data Preparation Fundamentals

Module 3: Python for Data Visualization Basics

Module 4: Advanced Python Visualization

Module 5: Introduction to Power BI

Module 6: Advanced Power BI Techniques

Module 7: Introduction to Tableau

Module 8: Advanced Tableau Features

Module 9: Integrating Tools and Best Practices

Module 10: Projects and Career Development

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