Overview
Dive into a comprehensive crash course on data visualization to enhance your ability to tell compelling stories with data. Learn the fundamentals of chart theory, exploring how to translate data into effective visual representations. Gain hands-on experience using Python, pandas, and plotly to create interactive charts in a Google Colab Notebook. Master techniques for transforming data, customizing charts with unique options and properties, and sharing your visualizations with colleagues. Discover the balance between science and art in data visualization, understanding the goals of business visualizations, and participate in a live chart-making demonstration. Ideal for intermediate Python users, this tutorial equips you with essential skills to become a data visualization pro, enabling you to communicate insights and machine learning models effectively to stakeholders.
Syllabus
Introduction
Goal of a business visualization
Science in data visualization
Art in data visualization
Making a chart- Demo
QnA
Taught by
Data Science Dojo
Reviews
4.0 rating, based on 1 Class Central review
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Great job! Super cool!!
I liked the way he presented the content. It was good to grasp as the language was easy, and his suggested technique was helpful.