The demand for data scientists has been growing rapidly in response to the increasing need to analyze massive amounts of structured and unstructured data. In this course, you learn how to implement data science solutions with Python, a programming language that is optimal for analyzing data due to it’s simplicity and the abundant availability of data science libraries.
We’ve curated popular tutorials for beginners as well as for advanced data scientists who want to use Python libraries to tackle a wide variety of data science challenges.
https://github.com/jakevdp/PythonDataScienceHandbook (beginner level)
https://github.com/donnemartin/data-science-ipython-notebooks (advanced level)
Due to copyright reasons, only the computation environment is provided in this course. You can copy the lecture material of the linked data science tutorials to your iLect course folder or upload your own lecture material (detailed information is provided in the course).