Data is a collection of information normally gathered through numbers or observations to be used for the analysis of trends, user behaviours or disease outbreaks. In a corporation or business, data is often gathered for marketing purposes, financial analysis or to make a better decision for the company. In today’s world, as long as you own a smartphone with different mobile applications, chances are your user experiences and activities are being tracked and stored as data. As the world moves towards digitalization, this data is growing exponentially with time and at a high increase rate, which results in what we referred to as ‘big data’ today.
Thanks to big data, companies are able to connect with users by offering services or products based on their activity on the Internet such as personalized music, movies and shopping items. However, such massive data requires professionals to parse through them to get the right information. Thus, birthed data science and data analytics as a career that one could pursue as a professional.
In this article, we will highlight the differences between data science and data analytics so that students would have a clear idea of pursuing their career based on their interest in the data world.