Data Understanding and Data Visualization with Python

In this 15 hr course, you will master the art of creating insightful data visualizations using Python. Through hands-on projects, you'll learn essential Python libraries like Matplotlib, Pandas, and Seaborn, all while enhancing your data manipulation skills. Begin your journey from scratch and confidently create impactful visualizations by the end.

What I will be able to do after this course

• Develop proficiency in data manipulation using Python libraries like Pandas and NumPy.
• Create insightful and interactive data visualizations with Matplotlib, Seaborn, Plotly, and other tools.
• Handle and visualize geographical data using Folium.
• Understand and apply 3D visualization techniques for complex data.
• Integrate knowledge through hands-on mini-projects and real-world examples.

Course Instructor(s)

The instructor of this course specializes in data sciences and advanced visualization techniques. With years of practical experience and a passion for teaching, they have guided learners of all levels to excel in Python and data visualization. Their approach is project-based and highly relatable, ensuring concepts are thoroughly understood.

Who is it for?

This course is designed for aspiring data scientists, analysts, and anyone interested in Python visualization skills. Beginners will benefit from the comprehensive introduction to Python basics, while intermediates can expand their visualization expertise. Ideal for those aiming to analyze data with powerful visual tools and derive actionable insights.