One-Week Summer Business Program
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In today’s Information Age, data collection and analysis is more important than ever before. As a result, Big Data is a rapidly growing field effecting nearly every industry. It’s used by governments, healthcare providers, educators, retailers, manufacturers… nearly every business and organization you could imagine can benefit from Big Data.
So what is Big Data? It’s a process that involves collecting massive amounts of data–bigger than traditional methods are capable of analyzing. It aims to collect a high Volume, Variety and Velocity of data in order to provide real time intelligence. Together, these form “the three V’s,” which are the main components of Big Data. Challenges that Big Data analysts have include how to store the data (which can be costly when we’re potentially talking about over a petabytes of data!), how to utilize new technology to analyze it, how to transfer the data, how to curate the data and many more.
This one-week summer program is designed for teens interested in business, math, & computer science.
SUMMER 2021 DATES:
June 28 – July 2, 2021 – REMOTE
Big Data is about making sense of the enormous amount of statistics companies collect, but it’s also about problem solving and overcoming the challenges that come when dealing with such a huge flow of information. Analysts also encounter ethical challenges in defining what information shared on the internet is private.
There is a strong need for Big Data analysis because of its potential to save companies thousands, millions and sometimes billions of dollars. It can help companies make immediate decisions based on responses from their consumers and track patterns in the way they do business.
This fascinating field will only continue to grow and have massive impacts on companies around the world. Data analysis is quickly becoming a requirement for large scale success and making smart, strategic business decisions.
In this course, students will be introduced to some of the core principles of Big Data. Students may learn techniques related to controlling the costs and benefits of information processing. The course may focus on elements such as decision-making, data structure and analytical models.
Ms. Lazebnik is an adjunct assistant professor at Bentley University, teaching Human Biology, Human Inheritance, and Human Health and Disease. She also has experience with utilizing analytical instrumentation and digital teaching technologies including data-mining resources and more. Ms. Lazebnik is involved in research focused on undergraduate STEM education and developing innovative course content to work hand-in-hand with the curriculum, in particular with a project at Boston’s Museum of Science. Ms. Lazebnik received her BS in Neuroscience and Biology as well as her MS in Cell and Molecular Biology from Brandeis University. Later, she received her PhD in Genetics from the Tufts University School of Medicine. In addition, she has extensive research experience including working as a research fellow at NIH, research associate at Brandeis and Tufts, and a postdoctoral fellow at Tufts Molecular Oncology Research Institute. Finally, Ms. Lazebnik is a multi-published educator and research scientist. She has had three articles published in the National Center for Biotechnology Information.
“I thoroughly enjoyed coming to Big Data. Dr. Lazebnik was a spectacular professor and she explained the material very well. My favorite part was creating a plan for an invention and presenting it with my peers.”
“The teacher made sure to balance time effectively such that we were able to learn a lot and also have a lot of fun. My favorite was the UR experience, I’ve always wanted to try it out.”
“I liked that it covered a lot of different topics and related them to how we could use it in life. I love how a lot of it was hands-on.”
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