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Inicio 4 June 2026 08:25
Fin 4 June 2026
Data Visualization with Python
University of Naples Federico II
26 Cursos
La Universidad de Nápoles Federico II es una prestigiosa universidad pública con una larga historia de excelencia en investigación, enseñanza e innovación. Ofrece una amplia gama de programas académicos, desde el nivel de pregrado hasta el de doctorado.
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Resumen
In today's data-driven world, the ability to create compelling visualizations and tell impactful stories with data is a crucial skill. This comprehensive course will guide you through the process of visualization using coding tools with Python, spreadsheets, and BI (Business Intelligence) tooling.
Whether you are a data analyst, a business professional, or an aspiring data storyteller, this course will provide you with the knowledge and best practices to excel in the art of visual storytelling.
Throughout the course, a consistent dataset will be used for exercises, enabling you to focus on mastering the visualization tools rather than getting caught up in the intricacies of the data. The emphasis is on practical application, allowing you to learn and practice the tools in a real-world context.
To fully leverage the Python sections of this course, prior experience programming in Python is recommended. Additionally, a solid understanding of high-school level math is expected.
Familiarity with the Pandas library will also be beneficial.
By the end of this course, you will possess the necessary skills to become a proficient data storyteller and visual communicator. With the ability to create compelling visualizations and leverage the appropriate tools, you will be well-equipped to navigate the world of data and make informed decisions that drive meaningful impact.
Offered by the University of Naples Federico II and available on Coursera, this course falls under multiple categories including Python Courses, Matplotlib Courses, pandas Courses, Data Visualization Courses, Seaborn Courses, Tableau Courses, Streamlit Courses, and Amazon QuickSight Courses.
Impartido por
Matt Harrison
