How to train in big data science (and everything you need to know)
We generate huge amounts of data every day. We do it when we fill in an online form, send a WhatsApp message, use GPS, or browse a website. In fact, we generate such large amounts of data that traditional software methods are unable to process the information.
This is where big data specialists come into play, a profession with one of the best future prospects. Therefore, if you're looking for a career with a future, big data could be the choice for you.
A current need
Big data involves managing and analyzing massive amounts of data. Once gathered, stored and processed, this data can be translated into information to extract patterns and generate knowledge that can be applied to an infinite number of fields.
This situation has created a market in which companies need a new type of professional. Some estimates indicate that the global income for big data software and services will increase from $42 billion in 2018 to $103 billion in 2027.
Who are these new professionals?
The Generación de Talento Big Data en España report, published by the Cotec Foundation for Innovation, highlights four main roles: managers and consultants, data scientists, data architects and data engineers, and users.
However, the spectrum is much wider: the new big data professionals must be able to transform data into advantages, to identify the value they can bring to a company and society, and to design strategies that can be implemented effectively. Given the difficulty of one profile taking on so many different roles, the big data market is likely to create jobs in multiple fields.
Options for training at all levels
If you are curious and want to know more about bug data without going into too much detail, try one of the following online courses. They provide a good introduction to the world of big data, so you can see if it is for you:
- Introduction to Business Intelligence and Big Data at UCO (20 hours).
- Mooc: Introduction to Big Data and Business Intelligence at IEBS (10 hours).
- Specialized program on Big Data at the University of California, San Diego (5 months. in English). Although it is a specialized program, it is for beginners. No prior experience is required.
If you have decided to take the plunge, there are a range of courses that cover specialized programs for specific profiles. Here are some examples:
- Specialized program on Data Science at Scale at the University of Washington (3 months, in English).
- Specialized Program - Big Data for Data Engineers at Yandex (8 months, in English).
- IEBS Course on Exploiting Big Data for Marketing.
Are you interested? If so, now is the time to give big data a chance and to get ahead in one of the top professions of the future.