Why Data Science
For startups, data science is relevant as the CEO and CTO needs to be able to capture information from their core users at the earliest stage, to identify key features that users love, and address problems that hinder users from using their product.
For corporates, the huge volume of data exceeds the capability and capacity of their existing data management workflow, and data science will assist their engineers to revise and enhance their current data processing strategy.
Demand and Opportunity
According to The New York Times, data science “promises to revolutionize industries from business to government, health care to academia.” As data accumulates, organizations are hiring individuals with the expertise to find meaning in the numbers and drive positive business decisions based on what they learn. It is estimated that by 2018, 4 million to 5 million jobs in the United States will require data analysis skills, and a recent study from the McKinsey Global Institute found “a shortage of the analytical and managerial talent necessary to make the most of Big Data is a significant and pressing challenge (for the U.S.).” Based on the number of job openings, median base salary and career opportunities, Glassdoor has ranked data scientist as the “Best Job in America” for 2016.
What You Will Learn
- What is Data Science and Big Data
- The demand and opportunity of Data Science
- The application of Data Science in Business, Government and Society
- The career of a Data Scientist
- Data Science Education Framework