• Massachusetts Institute of Technology (MIT)
• Stanford University
• Carnegie Mellon University
• University of California, Berkeley
• University of Illinois at Urbana-Champaign
• These institutions offer courses in databases, data mining, and machine learning, with a focus on real-world applications.

Source: Gemini AI Overview

The primary Reddit community for data engineering is r/dataengineering. It’s a very active subreddit where you can find:

• Discussions: News, trends, challenges, and solutions related to data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch processing, Big Data, and workflow engines.
• Advice and Help: Users often post questions about career paths, technical issues, project ideas, and best practices.
• Resource Sharing: You’ll find links to articles, blogs, tutorials, tools, and job postings relevant to data engineering.
• Community: It’s a place to connect with other data engineers, from beginners to experienced professionals.

Source: Gemini AI Overview

Disclaimer: The content in this post is from the Academy of Data Science website WITHOUT ANY EDITS. Virginia Tech is a public university in Southwestern Virginia, USA.

Virginia Tech’s Academy of Data Science was launched in 2020, in part to help meet the growing demand for workers who possess the skills to analyze data. Data science — a transdisciplinary field that draws upon the theories, methods, and concepts of statistics, mathematics, computer science, and information science to extract knowledge and insight from data — not only impacts all branches of science, but other fields as well.

The Academy of Data Science will focus on the development of methods, techniques, and tools for extracting knowledge and insight from data to further science. In doing so, it will elevate data science as a scientific discipline of its own, as well as bolstering the integration of data science into all scientific fields.  Additionally, the Academy will serve as the connective fabric between the College of Science and other Virginia Tech colleges and institutes as they collaborate to develop new data science methodologies and applications of data science in scientific disciplines.

Tom Woteki, a three-time Virginia Tech alum with a Ph.D. in statistics, was named the founding director of the Academy of Data Science. He also heads the part-time data analysis and applied statistics master’s degree program in the greater Washington, D.C., metro area.

Source: VT Website

As our world moves toward an increasingly data-driven reality, we believe it is critical that we service this data ecosystem as a whole. In the field, data science and data engineering go hand-in-hand. Data engineering lays the foundational infrastructure for data science while data science generates innovation that makes the whole thing worthwhile. To better reflect this, we started the International Data Engineering and Science Association or IDEAS for short.

Mission:
We bridge the gap between academia and the industry. We build a data engineering and science hub by providing robust resources and connecting real-world expertise together from business leaders, professionals, and promising students. Our vision is to foster the data engineering and data science ecosystems and broaden the adoption of their underlying technologies, thus accelerating the innovations data can bring to society. We empower and nurture community growth by offering online resources, conferences, latest industry trends and data related job opportunities.

Source: Website