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Data Science: A Great Field To Get into It
- Google Analytics for your marketing department.
- Complicated ERPs that breakdown information and create visualizations. Examples are SAP and Microsoft Dynamics for your business analysts, HR, supply chain management, etc.
- Tableau, Sisense, Microsoft Power BI for your business intelligence department (which is a sub-field of data science), where analysts can visualize the data in unprecedented ways and uncover unexpected insights.
- Outstanding improvements in programming languages such as R and Python, which let you perform very complicated analyses with a couple of lines of code.
- Google: They are the definition of data science. Everything they do is data driven from their search engine (google.com), through their YouTube efforts, maximization of ad revenue, etc. Even their HR team is using the scientific method to evaluate strategies that make the employees feel better at work so they can be more productive. Google is not the best place to work just by chance.
- Amazon: Each product recommendation that you get comes from Amazon's sophisticated data science algorithms. Actually, Amazon has implemented an algorithm that can predict with some certainty if you are going to buy a certain product. If the probability is high enough, they move it to the storage unit closest to you so when you actually purchase it, it could be delivered the same day.
- Facebook: Facebook is generating ad revenue like crazy since it has all that personal data for all its users. Since you interact with the platform, they know if you prefer cat videos or dog videos, so they know if you are a cat person or a dog person. They know what sports you are into, what food you prefer, the amount of money that you are willing to spend online. In this way, they can target their users in extraordinary ways, thus companies just love to use it as a medium.