A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data.
Time Series Data obviously has to do with time and the first thing that comes to mind is finance. The world of finance is the world of time series, so stocks, and currency exchange rates and interest rates, they’re all Time series.
One of the questions often addressed to me is whether an organization needs a data science team or not.
The way in which an organization will interact with data science depends a little bit on what kind of organization it is.
To some extent, it depends a lot on the size of the organization. So, when it is just a start up, when it is an early stage company, or just one person with a very small team, then we may not need to worry so much yet about how to do experimentation, how to do machine learning, how to do sort of prediction and downstream calculations. The first order of business is just making sure we keep our data in order. And the way to do that is to make sure we focus on infrastructure.