According to Glassdoor, data science is the number one job in America in 2018. It ranks highest in terms of job score, which is determined by earning potential, job satisfaction rating, and number of job openings. And with 2.5 quintillion bytes of new data being generated every day, it’s no surprise that there is a growing demand for professionals who can process, interpret and leverage this information in just about every industry. 

In manufacturing, big data can make factories more efficient and cut down on waste by producing exactly what consumers desire, exactly when they need it. In marketing, big data can show which consumers are most valuable and how to make less valuable consumers more valuable through customer engagement or loyalty programs. In healthcare, big data can help predict epidemics and use patient histories to prevent illness before it happens.  

The fact of the matter is big data has transformed the way we work. Whether you dream of becoming a data scientist yourself or simply need the tools to become an educated consumer of data, everyone needs data analytics expertise to be successful in business today. Here are the skills you need to become adept at working with data, no matter your job function.  


Wherever you learned your analytical skills – be it in biology class or reading 16th century literature (looking at you, Shakespeare) – an ability to conduct testing and identify trends is fundamental to data science. But, if want to enhance your analytical thinking even more, we’d recommend starting with our Business Analytics course, and when it comes to statistical analysis, you’ll “Excel” (pun intended!). 

Credential of Readiness (CORe) - Master the fundamentals of business. Learn more!

Business Fluency

An understanding of business language is important in any field. But in data science, it’s a requirement. One of the core responsibilities of people who work with big data is to interpret large figures that inform business decisions. From KPIs to quotas to supply and demand, know your business language, and you can conquer the world (or at least the data set).


It’s not enough to be able to read data, you also have to be able to interpret it in a business setting and communicate it to colleagues, even if they are less technically inclined.  Business Analytics will teach you how to provide context and craft a story around the data so that it can be understood and leveraged across the organization.