Time Series with data.table in R

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Course Features

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Duration

4 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

4 hours

Course Description

Although time series data can be difficult, it can also be very enjoyable. Ordering data can make it difficult. Merging data can be difficult due to large datasets and precision variations in timestamps. To build reliable data processing pipelines, you need a principled approach and the right tools. Enter data.table! It can be used to make your code more expressive, without sacrificing readability. You can also use it to make your code faster with in-place operations. This course will show you how to master data.table data series 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

Prerequisites/Requirements

Data Manipulation with data.table in R

What You Will Learn

By the end, you'll know how to write reusable functions to perform common time series feature engineering tasks and you'll have experience using those functions to build a statistical model

In this chapter, you'll learn how to convert from popular time series data formats into data.table

In this chapter, you'll learn how to write powerful, expressive data.table code to implement a few common forms of time series feature engineering

Course Instructors

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James Lamb

Staff Data Scientist, Uptake

James is a data scientist / engineer based in Chicago, IL. He wrote "Time Series with data.table in R " on DataCamp but isn't actively maintaining it.
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