There is a lot of talk about data science… although most of the managers of companies and institutions do not know exactly what it is. At least, that is the majority complaint of those who are professionally engaged in this activity. In his opinion, this is the main drawback that must be overcome in this discipline, fundamental in the fourth and fifth industrial revolutions.
For starters, there is a belief that scares away many potential candidates to earn a living from this job. Experts deny that you have to be a math genius to do this. Undoubtedly, this field is relevant -especially for statistics, algebra and calculus-, but there are many others that come into play. In short, being a data scientist is not the same as being a software developer.
Without going any further, officials from the United States Bureau of Labor Statistics forecast that the demand for data scientists will grow 36% before 2031. From public administration to health care, through finance, they are requiring the services of these figures. The volume of information that you must manage is increasing and someone with good judgment must take care of this.
Those who are already employed in this field often refer to a somewhat crude joke. Their trade is one of the future, they say, because, firstly, it has a great future, and also, without them, companies and institutions will not be able to anticipate what will happen in the short, medium and long term in their respective sectors. For them, it is a good start to gauge their importance in today’s market.
No one like them can collect, filter and clean huge volumes of heterogeneous material without compromising its quality and usefulness. Be that as it may, coding is not essential in the daily lives of these professionals. Of course, it is used to model prediction and analysis or to design prototypes. Here, Microsoft’s Power BI tool is one of the most valued.
However, this instrument does not solve all the needs of data scientists. Programming languages ​​like Python and R are equally essential. On this point, unanimity is absolute. The false thing is that you can only find an occupation in large corporations. Platforms like Coursera, Udemy or Linkedin Learning and other tutorial sites are contributing to continuing education in a way that is as ingenious as it is useful.
