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{Georgetown University} Introduction to Data Science Academy
The Introduction to Data Science Academy offers an inside look at the professional world of data science through the eyes of experts in the field. Through a combination of coding exercises, presentations from data science experts, and class discussions, you’ll be introduced to contemporary data science resources and best practices. You’ll have the opportunity to explore the processes of data collection and analysis, gain hands-on practice with statistical analysis and coding languages, and learn about the main elements of programming in R. By the end of the program, you’ll understand key concepts like how to wrangle data, how to visualize data, how to present your conclusions, and how to arrive at those conclusions.
{Ohio State University} Data Science for Women Summer Camp
The Translational Data Analytics Institute hosts a free summer camp that introduces 35 young women in grades 8-10 to data science and analytics–an exciting, fast-growing field centered on scientific methods and processes for extracting new knowledge from data. Students who learn these skills can combine them with an unimaginably wide range of interests, from business and biology to health care and education, to city planning and social services–and they are in high demand by employers.
{The Wharton School at the University of Pennsylvania} Data Science Academy
The Wharton Data Science Academy will bring state-of-the-art machine learning and data science tools to high school students. We aim to stimulate curiosity in the fast-moving field of machine learning through this rigorous yet approachable program. Building up statistical foundations together with empirical and critical thinking skills will be the main theme throughout. By the end of the program, students will not only be equipped with essential data science techniques such as data visualization and data wrangling but will also be exposed to modern machine learning methodologies, which are all building blocks for today’s AI field. Along the way, students will develop a working proficiency with the R language, which is among the most widely used by professional data scientists in both academia and industry. We believe data science is not just a collection of techniques; it is foremost motivated by real world problems. The data scientist of the 21st century must be able to identify relevant problems, provide sensible analyses, and ultimately communicate their findings in meaningful ways. All learning modules are based on real life case studies.
{University of Chicago} Pathways in Data Science
Learn how to glean insights and meaning from complex sets of data in this overview of a field with growing importance in business, government, and scientific research. Students will learn to use the transformational tools of data science and see how researchers are applying them in the service of social good. Working with faculty from the Department of Statistics, students will study how data is collected and stored and then how it is explored, visualized, and communicated. Using Python, students will learn techniques for classification, prediction, inference, and regression.
{University of Massachusetts Amherst} Foundations of Data Science
The field of Data Science encompasses methods, processes, and systems that enable the extraction of useful knowledge from data. Introduction to Foundations of Data Science introduces core data science concepts including computational and inferential thinking, along with core data science skills including computer programming and statistical methods. The course presents these topics in the context of hands-on analysis of real-world data sets, including economic data, document collections, geographical data, and social networks. The course also explores social issues surrounding data analysis such as privacy and design.
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