Information Technology
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Data Manipulation with R

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Course Features

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Duration

20 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

Beginner

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Teaching Type

Self Paced

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Video Content

20 hours

Course Description

Data in real-world situations is messy. Packages like data.table and dplyr are valuable because they make it easy to organize real-world data. These packages make data manipulation easy by extracting, filtering and transforming data. This makes it possible to perform reliable and fast data analysis. This is the right track if you are looking to improve your data manipulation skills. As you learn to work with multiple tables, you'll also be able to create real-world data and improve your skills. Additionally, you will get hands-on experience in creating visualizations, combining, merging, and combining data. Your new data manipulation skills will be applied using dplyr for analysis of voting data from the United Nations. This track will help you save time when manipulating data.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Data Analysis

Learn about creating visualizations, merging, and combining data

Course Instructors

David Robinson

Principal Data Scientist at Heap

Dave is the Principal Data Scientist at Heap. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton Universit...

Matt Dowle

Author of data.table

Matt Dowle is the main author of the data.table package. Matt has worked for some of the world’s largest financial organizations and has been programming in R for over a decade.

ARUN SRINIVASAN

R's data.table co-developer

Other

SCOTT RITCHIE

Postdoctoral Researcher in Systems Genomics

Other
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