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Importing & Cleaning Data with Python

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Course Features

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Duration

13 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop

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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

13 hours

Course Description

Working in Python requires that you know how to prepare your data. You must know what to do before you can get the real insights. This track will teach you how to import data from many sources including.csv and.xls. Once you have learned how to import your data, it is time to prepare your data to be analysed. As you work with real-world data like restaurant reviews, you'll learn how to deal with incorrect data types, fix missing data, and link records. The Tweepy package will allow you to access Twitter's API and scrape the internet for data. This track will give you the data prep skills that you need to clean up your data.

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

What You Will Learn

How to import data from many sources including.csv and.xls

Learn how to deal with incorrect data types, fix missing data, and link records

Course Instructors

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HUGO BOWNE-ANDERSON

Data Scientist at DataCamp

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ADEL NEHME

Content Developer @ DataCamp

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MARIA EUGENIA INZAUGARA

Data Scientist

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