Data Science is the newest thing that has become popular for Math, Statistics & Computer Science geeks. This is a new area of study that has increasingly gained popularity over the last couple of years or more. This is evident from the many courses and numerous well paying jobs that turn up with a simple Google search. The courses available online for those who are interested in acquiring this new skillset. And there seem to be tons of jobs for Data Scientists as well. Mose of these jobs require an advanced degree (such as a Master’s or a Doctorate).
Data Science is a new discipline that includes various topics of interest such as Statistics, Data Analysis, R or Python Programming, Regression Models, Machine Learning and more. Usually, the courses demand that learners have Math/Stats & Comp. Sci backgrounds but there are people who have business degrees or humanities background that have ventured into this area because it is so attractive to people who crave creativity and challenge in their work.
A typical Data Scientist does a lot of different things, but primarily it has to do with making sense of data in a meaningful way that is useful for a purpose. That sounds vague actually. It really means extracting meaning from and interpreting data, analyzing it with tools (using pre-built software like Microsoft Excel or custom programming usually with R or Python). It requires the use of Mathematics and Statistics skills. First and foremost it requires acquiring the lots of data, cleaning, cleansing and formatting data and asking useful questions and getting really creative with the use of the data in some way that may be useful for medicine or policy making or urban development or whatever else might be the area you are interested in using Data Science for. In other words, Data Science has tons of applications.