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.
Projet d'apprentissage appliqué
In this specialization, learners will engage in hands-on projects that involve analyzing real-world datasets, including COVID-19 data. The projects offer a chance to apply Python programming and data manipulation techniques, followed by crafting insightful visualizations using libraries such as Matplotlib, Seaborn, Plotly, and Folium. Learners will build interactive plots and geographical maps, further enhancing their skills in presenting data-driven insights. These projects not only reinforce the course material but also prepare learners for real-world data analysis tasks.
