Using data science in business is not a trend or fad. It's the new way today's leaders are leveraging advancing technologies to compete in the business world. Professionals equipped with data analytics knowledge can improve marketing and operating efficiencies. They can disrupt the status quo by inventing new business models to leap-frog competitors.
Designed with you in mind, San Francisco State University Big Data Certificate classes are fast-paced, interactive and provide practical skills and tools you can take back to your workplace to apply immediately. Learn how to use data analytics to gain hidden marketplace and product insights that drive improved business decisions. Immerse yourself in a program developed by professionals, for professionals. You'll leave the program understanding how to employ data science to seize opportunities. You'll possess the tools required to put data to practical use and the essential skills to hire and manage data scientists effectively.
4-Day In-Classroom ($4,995)
Winter 2020: April 20 - April 23
8-Week Online ($4,995)
Winter 2020: February 3 - March 30
“We believe this class is valuable since big data is very important… Big data has become part of our daily language. We read about big data. We see companies that are “experts in big data.” LinkedIn is filled with big data engineers and analysts. But what is big data, where did it come from and why is it widely available now when it wasn't ten years ago?”
With advancing technology generating more and more complex data, the demand for skilled executives who understand how to plan for and effectively leverage data for competitive advantage is at an all time high. Now, you can learn to become that executive.
You gain the knowledge, skills and tools to leverage data through a case study approach. Experience a curriculum that links statistics, computer science and data visualization to general business strategies such as business strategy, marketing and operations.
San Francisco Location, California
Online or on-site at your location