What is Data Science?
Data Science. Just 10 years ago nobody was talking about this topic and today it is one of the areas in which the demand for expert professional profiles is growing the most.
Data Science. Just 10 years ago nobody was talking about this topic and today it is one of the areas in which the demand for expert professional profiles is growing the most.
Data science is an area of knowledge and professional practice that encompasses three distinct profiles but with important areas of overlap.
Are you interested in data science and want to know which tools are used? In this article we will introduce you from the most used tools that every analyst should know to the most advanced ones.
In the information age, data has become one of the most valuable assets for companies. However, simply collecting data is not enough; it is crucial to analyze it and transform it into useful information that can guide strategic decisions.
Power BI is a data analysis and visualization platform developed by Microsoft.
When we started Ubiqum in 2016, Data Science was a very new concept and today there is still some confusion. So let’s start by clarifying which professional roles have a role in the field of Data Science.
Full Stack Developer is a web developer with knowledge of all facets of front end and back end development and project management tools.
Learning to program and becoming a web and mobile application developer can be a decisive step in your professional future.
When we started Ubiqum in 2016, Data Science was a very new concept and today there is still some confusion. So let’s start by clarifying which professional roles have a role in the field of Data Science.
One of the trendy concepts nowadays is Artificial Intelligence in its Data Science and Machine Learning aspects. However, there are few non-specialists who know how to clearly define what we are talking about when we talk about a Machine Learning course.