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Forecasting in R

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Course Report - Forecasting 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

5 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

5 hours

Course Description

Forecasting is the ability predict the future. Forecasting is essential in many situations. Forecasting is necessary in many situations. For instance, it is important to forecast the future demand and how staff will be staffed in call centers next week. Forecasts are required for stocking inventory and stocking plants. Forecasts are necessary for capital investments but also for routing telecommunications. Forecasting can be used to plan efficiently, no matter what time frame or conditions. This course will introduce you to R time series forecasting.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Pedagogy

Top 5 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. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

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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

Time Series Analysis in R

What You Will Learn

Graphs enable many features of the data to be visualized, including patterns, unusual observations, and changes over time

In this chapter, you will learn general tools that are useful for many different forecasting situations

This course provides an introduction to time series forecasting using R

Course Instructors

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Rob J. Hyndman

Professor of Statistics at Monash University

Rob J. Hyndman is Professor of Statistics at Monash University, Australia, and Editor-in-Chief of the International Journal of Forecasting. Rob is the author of over 150 research papers and books in ...

Course Reviews

Average Rating Based on 3 reviews

5.0

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