The results of analyzing a dataset with the 200k study exchanges that took place in the Erasmus program 2011–12.
Since 1987, the Erasmus program gives hundreds of thousands of European students every year the opportunity of spending a semester or a year abroad, in another European country, offering them an easy exchange process, as well as economic support. It’s a truly valuable experience, which opens their minds and hearts to the diverse people, languages, and cultures of Europe.
I did my Erasmus exchange in Vienna, Austria, and it was also an unforgettable experience. I had a course there where we had to do a project on data analysis, and Hilke van Meurs and I decided to do an analysis of the Erasmus exchange data for the academic year 2011–12, available in the European Union Open Data Portal. Today, one year later, I’m sharing with you this project.
Many a time, I have seen beginners in data science skip exploratory data analysis (EDA) and jump straight into building a hypothesis function or model. In my opinion, this should not be the case.
In this tutorial, you will know about the TED TALKS DATA ANALYSIS project from scratch.
Pandas is a popular Python package as it offers powerful, expressive, and flexible data structures that make data manipulation and analysis easy, among many other things. We will go over the essential bits of information about pandas, including how to install it, its uses, and how it works, and much more.
Introduction to Data Analysis in Python | Python Pandas | Series | DataFrames | CSV | Plotting | This course is aimed at the intermediate Python developer who wants to learn how to do useful data analysis tasks in Python. It will focus on the Python package pandas and matplotlib but will also include NumPy to some degree.
Learn to group the data and summarize in several different ways, to use aggregate functions, data transformation, filter, map.