Would you like to be the professional responsible for translating your company’s data and analytics from a new point of view? Do you want to create winning strategies behind those numbers, imagining new possibilities for a business, and consider how your company could be scaled and maximized? This 7-day course (a total of 7 weeks) is for you! This course is targeted at professionals who want to learn predictive analytics, supervised and unsupervised learning theory, and their practical applications, becoming an Analytics Translator.
It is not required to master programming skills. We will work in a Python environment, but learning to code in Python is not part of the course.
Orientation in data science, Big Data, new analytics and new business opportunities.
Predictive analytics, the theory of supervised and unsupervised learning, and their practical applications in a Python‐based analytics environment.
Apply machine learning in the data‐analytic workflow embodied by the CRISP‐ DM model.
The T shape visualizes the idea that a successful career is based on the combination of deep technical expertise (the vertical bar) and wide and broad boundary-crossing skills (the horizontal bar).
Data scientists master the technical skills of data engineering, and know how to use data-warehouses, build a data pipeline and access Big Data cloud solutions. They have the analytical skills of machine learning, and can translate a business opportunity into a data-science problem, apply the data-analytic workflow to develop a model, and test and implement it in a Python environment.
Data scientists are also business savvy, understand how business models and strategies work, are able to manage data-science projects delivering results, and in general, know what it takes to get things done in large and complex organizations.