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In today's data-rich environment, the ability to construct and understand statistical models based on big data is crucial for economists at policy institutions, think tanks and consulting firms.
This 15-hour online or in-person course exposes you to state-of-the-art data science tools employed to tackle economic problems. The course is taught with a hands-on approach via Jupyter notebooks. The course is composed of three units that guide participants through the process of converting raw data into actionable insights:
Classes will consist of rigorous training of the topics together with practical sessions to learn how to deploy these techniques to real data sets. Built around Jupyter Notebooks, this course offers participants the opportunity to improve their programming skills in both Python and R, the most widely used programming languages in data science.
After successful completion of this course, you will have:
ONLINE | |
Regular Fee | 1375 € |
Reduced Fee | 800 € |
10% early-bird discount applies to payments made on or before February 6, 2024 at 23:59 (CET)
ONLINE | |
Regular Fee | 1375 € |
Reduced Fee | 800 € |
10% early-bird discount applies to payments made on or before February 6, 2024 at 23:59 (CET)
ONLINE | |
Regular Fee | 1375 € |
Reduced Fee | 800 € |
10% early-bird discount applies to payments made on or before February 6, 2024 at 23:59 (CET)
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