/GA_Python_for_Data_Science_workshop_2017_08

GA Python for Data Science Workshop

Primary LanguageJupyter Notebook

Python for Data Science workshop

By the end of the workshop, you will have the techniques to be able to:

  • Understand commonly used built-in Python data types, including lists, tuples, and dictionaries

  • Write conditional statements using if, elif and else in Python

  • Write a for loop in Python

  • Read and write large amounts of data using pandas

  • Perform common data manipulations including filtering, selecting specific rows and columns, along with other routine data analysis tasks with pandas.

  • Merge dataframes in various ways using pandas

  • Use Python for basic data analysis tasks (data cleaning and reformatting, exploration, analysis)

  • Understand Python’s role as a tool in the backend and analysis toolkits

  • Use tools like Spyder, iPython notebooks, packages such as pandas, and visualization

Agenda

The workshop agenda is here



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