What is data science and what can you do with it? This 7-day course (a total of 7 weeks) is targeted at professionals who want to learn to develop machine-learning solutions, and who are also interested to learn the business implications of data science.
An 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.
Applying 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.