There is no official definition of Data Science (similar to “Big Data”); we will regard data science as the combination of different disciplines: data mining, statistics and machine learning in order to derive information from data automatically. Whilst many of the approaches used in these fields have existed for a long time already, more and more free programming libraries, cheap computing time and storage space (e.g. from AWS) as well as more available data due to the new online world have been enabling more people to use the power of coping with huge amounts or complex data.
Data Analytics or Data Analysis can be regarded as a subset of Data Science, setting the focus on the analysis of data. Being very similar to statistics, the term “data analysis” is sometimes regarded as old wine in new bottles. The existence of huge and complex data, often termed as “big data”, is not required for data analysis. Most often, quality is more restricting than quantity. In fact, there is no official definition of “big data”, and just because it is “a lot of data”, it should still not be called “Big” data. Some people even say, there is no thing such as big data.