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Case Studies: Manipulating Time Series Data in R

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Course Report - Case Studies: Manipulating Time Series Data in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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

Interactive exercises and access to data will allow you to improve your knowledge of time series topics. You will explore a variety of datasets about Boston, including data regarding weather and economic trends, as well as data on local sports teams.

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Highlights

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Pedagogy

Top 10 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

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

Manipulating Time Series Data with xts and zoo in R

What You Will Learn

In this course, you will strengthen your knowledge of time series topics through interactive exercises and interesting datasets

You’ll explore a variety of datasets about Boston, including data on flights, weather, economic trends, and local sports teams

Course Instructors

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Lore Dirick

Director of Data Science Education at Flatiron School

Lore is a data scientist with expertise in applied finance. She obtained her PhD in Business Economics and Statistics at KU Leuven, Belgium. During her PhD, she collaborated with several banks workin...
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Matt Isaacs

Political Science PhD interested in data science in defense, security, and international relations

Matt Isaacs is a former Course Development Intern at DataCamp . Matt holds a PhD in Political Science from Brandeis University and has extensive experience in applied data science across the public s...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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