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Effective Data Visualization with Python

Carlos Afonso

Instructor at NYC Data Science Academy

Panelist Spotlight

Carlos Afonso has 5+ years of experience using Data Science and Machine Learning to solve business problems for diverse organizations (from nonprofits to Fortune 100 companies) in various industries, including healthcare, finance, education, and technology.

Carlos has a multidisciplinary STEM academic and research background, with a BSc and MSc in Physics Engineering from IST, Portugal; one year of doctoral training in Computational Biology at IGC, Portugal; and experience conducting postgraduate research in Biomedical Engineering at the University of Oxford, England.

Passionate about the power of Education to transform people’s lives, Carlos has been teaching and helping others achieve their goals throughout his whole career.

Effective Data Visualization with Python on June 23rd, 2021

Learn the fundamentals and best practices of data visualization to effectively present complex data and communicate insights in ways your audience can easily understand.

The workshop will provide clear explanations of essential data visualization concepts and data science tools, supported by various illustrative examples in Python. At the end of the workshop, you will better understand how you can effectively use visualization to complete and present a successful data science project. This workshop will be taught by NYC Data Science Academy Instructor Carlos Afonso. No previous background in data visualization or programming is required to join this workshop. However, if you would like to follow along with the hands-on workshop, we recommend installing the latest version of Anaconda with Python. Here is a helpful video on how to properly set up Anaconda. Download the Dataset HERE

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NYC Data Science Academy

NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.