Course Features

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Duration

17 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

17 hours

Course Description

This course is a continuation of the introduction to programming in R and is suitable for three types of learners. It is designed for those who want to do data analysis but have yet to gain programming knowledge, those who know programming but are not familiar with R, and those who already have some knowledge of R programming but want to learn more about tidyverse verbs. It is recommended to take this course after completing the first course in the specialization, or if you are already familiar with ggplot, RMarkdown, and basic function writing in R. Throughout the course, you will learn how to use the reader for reading data, dplyr for data analysis, and stringer and forecast for manipulating strings and factors. The course covers topics such as data analysis using R, data analysis programs, the use of data analytics, data science and data analytics courses, artificial intelligence data analytics, and more. By the end of the course, you will have a solid understanding of how to analyze data using R and various data analytics techniques.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will be learn to apply regular expressions to detect patterns in strings and return matches and replace patterns with new values

You will learn to analyze data between multiple related data tables

You will learn to identify and describe tidy data and transform a non-tidy data set to be tidy in r

Course Cover