What: Python training by Data Science Lab
When: Tuesday, 21st of April, start at 13:30
Where: Vrije Universiteit Amsterdam, Room HG-11A36
Who: Bachelor and Master students of SBE
Application deadline: 20th of April, 23:59
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The third training in the digital trajectory is the Python training and will be given by Data Science Lab on April 21, 2020, at the Vrije Universiteit! Data Science Lab consists of a team of creative and talented data experts and they will give you an interesting introduction to Python. Do you want to find out what kind of business questions can be solved with the use of data and Python? Apply now for this training and develop your professional skills!
Python is widely used today as a standard programming language and often used in many aspects of the data pipeline, from gathering and cleaning data to the use of algorithms and visualizations. In this training, you will learn about Artificial Intelligence, machine learning, the data science method and, of course, Python. With the use of practical examples and tasks of real-life implementations, you will also learn how to work with Python, and how to apply this in your future career in business!
About Data Science Lab
Data Science Lab helps companies creating value out of their data. For that goal, we use the newest techniques in the field of Machine Learning and Artificial Intelligence. We are a full-service consultancy company with broad expertise and answer every data question: no matter in which sector. We believe that every company, large or small, should have data expertise and we do everything we can to get this done. We give companies more insight into data so that they maintain position and can even increase it. We help civil society organizations as well with their data issues that do not have the resources, as we want to use our knowledge and expertise for good causes. As a result of that, our professionals come into contact with new issues and techniques, and we put that knowledge back into the companies of our clients.
The application deadline is Monday, 20th of April at 23:59.
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