These scientists have become one of the most prominent problem solvers in this digital error. Combining advanced statistics, math and computer science, they are experts in such management, mining, and visualization. It is safe to say that they are conversant with statistics analysis, statistics or modeling, and engineering.
Without it, big data could still be an impossible task to solve since it refers to structured and unstructured one that inundates an organization daily. The size of big data usually is not the matter in this kind of science, but what an organization is planning to do with this is what matters.
It is also important to mention that any person interested in becoming a data scientist can do so by adopting a suitable learning path online. They are on a constant high demand because organizations today rely so much on technology; hence, volumes of data need to be broken down and put into good use. Wondering what this science can do, here is an in look with the best examples to showcase the real power of big data and its science;
Electoral processes
Cambridge Analytica was a British political consulting firm that combined data science-driven strategies during elective operations. The organization collected material on voters including internet activities, voters’ behavior online, demographics, and other sources both private and public. This information which existed in the form of big data was broken down by special scientists and used to influence voters psychologically.
Although it is was shut down in 2018, reports have it that Cambridge Analytica acquired information from millions of voters on Facebook users without their consent. It is said that it was the most aggressive invasion of privacy that Facebook had to oppose the operations of the organization.
Other than collecting info on Facebook, Cambridge Analytica was also responsible for the development of the Cruz Crew app. The app tracked the physical location and contacts, and it goes down in history as one of the presidential campaign apps that invaded many personal data.
Brexit
When it was voted that the UK gets to leave the EU, no one could believe it. However, the truth is, data science proved the opinion polls wrong, but how did they do it? According to reports, Benedict Cumberbatch had single-handedly changed the history of the UK through data science.
Although it was expected that more votes would favor the UK to stay part of the EU, Benedict proved the opinion polls wrong. He used information collected from social media users to serve various kinds of adverts that had psychological impacts. These adverts were dished out to different consumers concerning their stand on the Brexit matter.
The voters who supported the UK to maintain in the EU, for example, received ads and messages like Turkey going to join the EU with its vast population of 76 million people. Such information quickly influenced people to reconsider their stand on the matter with the national resources in mind.
The 2016 US elections
The psychological power of big data and data science is also evident in the 2016 US elections. According to sources, the Cambridge Analytics had their hand is the electoral process that shocked the world. It is, however, not known by most that analysts from both teams were working to expose the candidates on free media and cable TV.
Data scientists managed to serve political campaigns to the public after conducting emotional research about their opinion concerning various matters. This made it easy for the candidates to brainwash the public quickly by manipulating their psychology.
How to become a data scientist
There are different ways that someone can become a professional. Traditionally, you can enroll in a school and take a couple of years to complete the course. Alternatively, you can decide to take up the course online and enjoy a self-paced learning path method if you visit here.
Data science is composed of various sections, and no one is restricted to learn everything. In a real school, however, this can be impossible because you will be required to specialize at some point. Not that it is a bad thing but compared to using various learning paths, you stand a better chance of becoming an expert faster.
Power of data science and big data in the business world
The power of data science and big data are not only felt in the political arena. Manufactures, retailers, and professionals today are spending a lot of money for these services because they need it to;
Identifying threats
As long as you are using technology in your profession or organization, you are under constant risk of being attacked by cybercriminals. With the continuous exchange of statistics with your system, a regular person cannot detect even when they have been hacked. Data scientists tend to have a third eye for analyzing big data and can quickly point out essential in your systems.
Using statistics, significant methodology, path, and networking, a data scientist can create a system that will predict any unusual activity. These include things like fraud and generate an alert in good time for a swift response. Without such scientist in your organizational team, you are at risk of losing so much to the relentless hackers.
Deliver relevant products to the right consumers
Data science goes deep into analyzing market behavior. From information received in your daily activities, you can find out which product sells best in which area. Scientists, therefore, are capable of breaking down the market for you and even allow you to make the right kind of product available to the right market.
This will save you lots of time and money because you will be able to channel your production and supply as demanded by the market. You will also be in an excellent position to come up with new products as needed by consumers.
Conclusion
If you have ever fancied having the power of influence in your hands, then this is the kind, of course, that is suitable for you. The best part is, you can become one even if you have no background in this course. All thanks to the online courses that are tailored for passionate people.
