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Importing Data in Python (Part 1)

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  • 15 Videos
  • 54 Exercises
  • 3 hours 
  • 11,990 Participants
  • 4150 XP

Instructor(s):

Hugo Bowne-Anderson
Hugo Bowne-Anderson

Hugo hearts all things Pythonic and is charged with building out DataCamp’s Python curriculum. He can be found at hackathons, meetups & code sprints, primarily in NYC. Before joining the ranks of DataCamp, he worked in applied mathematics (biology) research at Yale University.

Collaborator(s):

Francisco Castro Francisco Castro

Course Description

As a Data Scientist, on a daily basis you will need to clean data, wrangle and munge it, visualize it, build predictive models and interpret these models. Before doing any of these, however, you will need to know how to get data into Python. In this course, you'll learn the many ways to import data into Python: (i) from flat files such as .txts and .csvs; (ii) from files native to other software such as Excel spreadsheets, Stata, SAS and MATLAB files; (iii) from relational databases such as SQLite & PostgreSQL.