Every dataset has a story to tell, but even the cleanest and most uniform rows and columns aren’t enough to tell the story in a compelling way. So when you want to motivate data-driven action, you need a powerful method for presenting actionable data. That method is data visualization, and it’s a critical skill for data professionals of all specializations.
In this course, you’ll learn how to use Python libraries like Matplotlib, Seaborn, and Basemap to transform raw data into compelling and actionable visualizations. By understanding the most common data visualization techniques, you’ll be able to use Python to generate beautiful, insightful, and meaningful visuals that will give new life to your data.Read more.
The techniques and tools covered in Storytelling Through Data Visualization are most similar to the requirements found in Data Analyst job advertisements.
