14 August 2020
Introduction to Data Science with Python
This practice-oriented course is ideal for beginners who are looking to be quickly introduced to data science. At its end, you will be equipped with the tool set needed to analyze, understand and gain new insights from data. You will learn how to use Python coupled with Jupyter to manipulate and visualize data. You will peek into the theoretical foundation of machine learning and understand its main algorithms. Furthermore, you will apply your knowledge on real world problems by using machine learning to classify and predict data.
The target group includes current university students who have completed at least one year of their studies (Bachelor's, Master's or PhD level). Working professionals with equivalent work experience are also welcome to apply.
Some basic knowledge of console commands, especially those related to file management is a plus.
At the end of this course you will be able to:
Code in Python
Manipulate and visualize data using numpy, pandas, matplotlib and sci-kit learn
Run exploratory analysis on data and gain new insights
Understand the theoretical foundation of machine learning
Apply machine learning to predict and classify data
Understand and apply Linear regression, K-Means Clustering, PCA, Decision Trees and Neural Networks
5 ECTS (European Credit Transfer System) for the academic course.
EUR 1950: The fee covers public transportation for the duration of the course, excursions, course materials, and a cultural program.