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Python_Data_science_toolbox_case_study

To explain all the tools of Data Science using a case study.

  • The case study uses the wide variety of programming concepts/tools like:

    • writing user-defined Functions
    • Iterators
    • List comprehensions
    • Generators
    • Dictionaries
    • Zipping
    • and more..

    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 hundreds of indicatiors from population, electricity consumption, CO2 emissions to literacy rates, unemployment and mortality rates.