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DataCamp – Importing Data in Python (Part 1)

Link to Content:
DataCamp Importing Data in Python Part 1

Created/Published/Taught by:
Hugo Bowne-Anderson
Francisco Castro

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Free? Partially: Some Free Content, Some Paid

Cost Range:
$0.00 - $29.00

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Difficulty Rating:
Early Beginner 1
Advanced Beginner 0
Intermediate 0
Advanced Intermediate 0
Advanced 0

From DataCamp:

“As a Data Scientists, 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.”

This course consists of three chapters:

  1. Introduction and flat files
  2. Importing data from other file types
  3. Working with relational databases in Python

Part 2 of this course can be found here: Importing Data in Python Part 2

Recommended Prerequisites: no prerequisites mentioned

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