Johns Hopkins University 3 credits Data Science
This course will explore the practical application of data visualization and representation, employing lenses such as personas, to understand the different purposes of visualizations. Data visualization plays a crucial role in the entire data science process, serving multiple purposes such as communicating results and insights in a clear and understandable way, facilitating preliminary data exploration, and analyzing outcomes from physics-based or machine learning models and simulations. The course will introduce various tools and equip students with the knowledge to effectively choose the most suitable tool for a given problem. We will also explore various essential tools for data visualization, including Microsoft Excel, Python plotting libraries like matplotlib and plotly, Python graphical interfacing libraries such as streamlit, and Tableau, among others. As a Data Scientist, you will often need to collaborate in cross-functional teams of varying levels of technical expertise and with role-specific requirements. To prepare you for a well-rounded career in Data Science, the course project will focus on connecting stakeholders with appropriate visualization methods and techniques, the aim of which is to enhance your skills in data visualization to effectively communicate insights to diverse audiences.
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