There is a lot of talk about Data Science… however, managers of most companies and organizations have no idea exactly what it is. At least, this is what most people who are professionally engaged in this activity complain about. In his opinion, this is the main flaw in this discipline fundamental to the Fourth and Fifth Industrial Revolutions that must be overcome.
For starters, there’s the notion that scares off many potential candidates from looking to earn a living from this job. Experts deny that you have to be a math genius to do this. Undoubtedly, this area is relevant—especially to 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, the United States Bureau of Labor Statistics estimates that the demand for data scientists will increase by 36% before 2031. From public administration to health care, through finance, they need the services of these figures. The amount of information you have to manage is growing and anyone with good judgment must keep track of it.
People who are already employed in this field often mention some cheesy joke. Their business is one of the future, they say, because, firstly, it has a good future, and at the same time, without them, companies and institutions would not be able to predict what their respective futures would be in the short, medium and long term. What will happen in regions. For them, this is a good starting point to gauge their importance in today’s market.
No one like him can collect, filter and clean huge amounts of heterogeneous material without compromising on 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 for forecasting and analysis or designing prototypes. Here, Microsoft’s Power BI tool is one of the most valuable tools.
However, this tool does not meet all the needs of data scientists. Programming languages like Python and R are equally essential. On this point, the unanimity is absolute. The fallacy is that you can only find a career in large corporations. Platforms like Coursera, Udemy or LinkedIn Learning and other tutorial sites are contributing to continuing education in a way that is simple as well as useful.
