The Difference Between The Big 3 Terminologies: Data Science, Big Data And Data Analytics

By Jyoti Nigania |Email | Feb 7, 2019 | 18267 Views

Data is gold and data is all around and the amount of data is increasing rapidly. According to IBM, 2.5 billion gigabytes of data was generated every day. 

Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being. Which makes it extremely important to at least know the basics of the field. Here, you find the difference between the Data Science, Big Data, and Data Analytics, based on what it is, where it is used, the skills you need to become a professional in the field, and the salary prospects in each field.

You can easily get to know the difference between Data Science, Big Data and Data Analytics with this video. These three terms are nowadays very popular and everyone should aware of them.

With industry recommended learning paths, exclusive access to experts in the industry, hands-on project experience, and a Masters certificate on completion, these packages will give you need to excel in the fields and become an expert.

Source: HOB