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Intermediate Importing Data in Python

Beginner
4.7+
188 reviews
Updated 05/2025
Improve your Python data importing skills and learn to work with web and API data.
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PythonData Preparation2 hours7 videos28 Exercises2,300 XP190,492Statement of Accomplishment

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Course Description

As a data scientist, you will need to clean data, wrangle and munge it, visualize it, build predictive models and interpret these models. Before you can do so, however, you will need to know how to get data into Python. In the prequel to this course, you learned many ways to import data into Python: from flat files such as .txt and .csv; from files native to other software such as Excel spreadsheets, Stata, SAS, and MATLAB files; and from relational databases such as SQLite and PostgreSQL. In this course, you'll extend this knowledge base by learning to import data from the web and by pulling data from Application Programming Interfaces— APIs—such as the Twitter streaming API, which allows us to stream real-time tweets.

Prerequisites

Introduction to Importing Data in Python
1

Importing data from the Internet

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2

Interacting with APIs to import data from the web

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3

Diving deep into the Twitter API

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Intermediate Importing Data in Python
Course
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Don’t just take our word for it

*4.7
from 188 reviews
75%
23%
1%
1%
1%
  • Luis Alejandro
    about 23 hours

  • Davio
    1 day

  • Dustin
    3 days

  • Samuel
    3 days

    Good

  • SAJID
    5 days

    good thing

  • Enes Furkan
    4 days

    Example code is a necessity. Seeing it from a video and directly having the ability to manipulate code is very different.

Luis Alejandro

Davio

Dustin

    Join over 16 million learners and start Intermediate Importing Data in Python today!

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