Labor market experts say that many of the professions in which young people now starting high school will work have not yet been invented or discovered. Data Science is an example of this trend, just 10 years ago nobody was talking about this topic and today it is one of the areas in which the demand for expert profiles is growing the most. And, as it is usually the case, the traditional education system is not prepared to meet the high demand for the super-qualified professionals that are needed.
Let’s put some perspective on the historical evolution of this field of professional practice.
From 1960 to 1980. Computer-based statistics and data analysis began to take shape with the use of the first computers.
The first concept that was coined is that of Data Mining, a somewhat old way of referring to Data Science. Data Mining is hardly used today.
From 1990 to 2010 The term “Data Science” became popular. Interest in machine learning and artificial intelligence techniques for data analysis is growing.
The term “Big Data” has emerged to describe the enormous volumes of data that are generated.
Big Data is composed of three elements, the 3 Vs.
From 2010 onwards: All of the above grows exponentially and rapidly and Data Science is formalized in professional roles, processes and work tools.
As we reach 2024, it is now quite clear that three types of profiles are needed to manage Big Data, which are quite different, although, logically, they have points in common:
Storing and Organizing Data. Since the 1960s, when computing first became popular, companies have always had a data management team. Recently, however, and because of what has been explained above, this role has become much more complicated and sophisticated. Today we speak of Data Engineers to describe people who specialize in managing the processes and tools for storing and organizing data.
Machine Learning Algorithms. A second group of professionals are those who develop the programs used to process the data. These programs are ingenious and complex, perform very sophisticated logical operations, with huge volumes of data in a short time and therefore require a great deal of specialization. This profile can be defined as that of a machine learning engineer.
Analysis and obtaining value. Finally we have a group of people who are dedicated to analyze this data to add value to the business. We are going to call these specialists Business Data Analyst and this is the profile we develop in the course Data Analytics and Machine Learning Ubiqum’s course.
These three profiles complement each other and work together in the field of BIG DATA and make up, together, what we know as Data Science.
We can say that, if the demand for Data Engineers is X, the demand for Machine Learning Engineers is 2X, and the demand for Business Data Analyst is 100X.
Businesses, both large corporations and SMEs, need to implement Data Driven Decision Making, evidence-based decision making supported by data analysis, and the demand for professionals with this profile is already huge and can only continue to grow.
At Ubiqum we offer three programs focused on three different student profiles. In each of them the student gets a solid foundation in Python programming and in the use of the libraries mentioned above.
Finally, we are left with the key question: If I sign up for a course on Data Analytics and Machine learning at Ubiqum, where will I find career opportunities?
The reality is that all industry sectors are already using data analytics in their analysis and decision making processes: Retail, Oil &Gas, Financial Services, Health Care, Manufacturing, Supply Chain….. and in all functional areas, engineering, finance, marketing, sales, logistics, etc.
The course of Data Analytics and Machine Learning course is designed so that, in 3 months full-time, or 6 months part-time, 480 very intense hours, you can learn the basics of the profession and start your new career as a Business Data Analyst.
If you have a very technical profile and want to go deeper, you can opt for our 600-hour Data Science and Deep Learning course.
Finally, if you have a less technical and more business profile, we offer you the Business Analytics and Power BI option.
If you want to know more, please fill out the attached form and our professional advisors will contact you.
In Data Science there is a continuum between the more technical aspects and the business aspects. At Ubiqum we help each person to find the point that best fits their profile and career plan.
