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Introduction to Importing Data in Python

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5

(3)

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Course Features

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Duration

3 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

Beginner

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Teaching Type

Self Paced

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Video Content

3 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 will show 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 also covers relational databases like SQLite or PostgreSQL.

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

Intermediate Python

What You Will Learn

You will need to clean data, wrangle and munge it, visualize it, build predictive models, and interpret these models

In this course, you'll learn the 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 Po

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

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