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Intermediate Importing Data in Python

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Course Report - Intermediate Importing Data in Python

Course Report

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Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

Data scientists are responsible to clean, manipulate, and interpret data. Before you can do all of this, however, you need to know how to import data in Python. This course teaches you how to import data from flat files such as.txt and.csv into Python. It also covers files native to other programs like Excel spreadsheets, Stata files and SAS files. This course will help you expand your knowledge and teach you how to pull data from Application Programming Interfaces APIs. For example, the Twitter streaming API allows us to stream live Tweets.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Importing Data in Python

What You Will Learn

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 SQL

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

Course Instructors

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Hugo Bowne-Anderson

Data Scientist at DataCamp

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data AI literacy, helping to spread data skills through organizations and society and doing amat...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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