Data Understanding and Data Visualization with Python

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. You will begin by mastering Python fundamentals, including data structures, strings, and key programming concepts essential for data manipulation and analysis. Next, you’ll gain expertise in data handling with NumPy and Pandas. The specialization then focuses on data visualization, teaching you how to present data effectively using Matplotlib, Seaborn, Bokeh, Plotly, and Folium. You’ll create everything from simple plots to interactive geographical maps, reinforcing your learning through quizzes, challenges, and projects. This specialization is ideal for beginners starting their career in data science or enhancing their skills. While prior programming experience is helpful, it’s not required. By the end, you'll be able to manipulate data with Pandas, visualize datasets using various plotting techniques, work with complex numerical operations in NumPy, and create interactive visualizations using modern tools. You'll be prepared to analyze and interpret data, adding value to any data-driven field.