To explain all the tools of Data Science using a case study.
- Tools like writing user-defined functions, iterators, list comprehensions, generators are used to wrangle and extract meaningful information from a real-world data set, the World Bank World Development Indicators dataset.
- This dataset contains data on 217 world economies for over half a century from 1960 up until 2015. The data contains hundredds of indicatiors from population, electricity consumption, CO2 emissions to literacy rates, unemployment and mortality rates
- The case study uses the wide variety of tools like dictionaries, zipping, user-defined functions and list comprehensions and more to wrangle some of this wonerfully rich dataset.