Luke obtained his doctorate in Mathematics at Stony Brook University, where he concentrated in partial differential equations. As a lifelong learner of Mathematics, he is extremely efficient in quantitative analysis and also skilled at communicating abstract concepts. Being extremely passionate to share the insights of data from various industries, Luke looks forward to meeting curious students from all kinds of backgrounds enrolling at the Academy.
Shiny is an R package that makes it easy to build highly interactive web apps to help you share your analyses as dashboards and visualizations to bring your data to life.
Learn how to build a visually pleasant and user-friendly Shiny app that will help you organize your data pipeline, from loading the data to generating a summary or visualization.
We will be using the New York State COVID-19 test data for this workshop.
There is no prior knowledge of programming required to attend this workshop—register for free today.
Join us and learn the fundamentals and best practices of data visualization to effectively present complex data and communicate insights in ways your audience can easily ...
A free introductory workshop to learn how to load, prepare, manipulate, and analyze data using Pandas.
...Discuss popular Python coding conventions and learn how to incorporate them into your work to increase your code's readability.
...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.
