| 001 A data analysis example.mp4 | 227.6 MB | ||
| 001 A data analysis example_en.vtt | 23.7 KB | ||
| 001 How to download and install R and R studio.mp4 | 79.3 MB | ||
| 001 How to download and install R and R studio_en.vtt | 10.8 KB | ||
| 001 Important data and installing packages.mp4 | 101.5 MB | ||
| 001 Important data and installing packages_en.vtt | 16.7 KB | ||
| 001 Introduction.html | 512 B | ||
| 001 Types of data in R.mp4 | 55.6 MB | ||
| 001 Types of data in R_en.vtt | 9.9 KB | ||
| 002 Data manipulation using Tidyverse.mp4 | 58 MB | ||
| 002 Data manipulation using Tidyverse_en.vtt | 10.3 KB | ||
| 002 Import data from excel.mp4 | 67.1 MB | ||
| 002 Import data from excel_en.vtt | 11.8 KB | ||
| 002 Why use R.mp4 | 63.2 MB | ||
| 002 Why use R_en.vtt | 4.9 KB | ||
| 003 Selecting and arranging your variables.mp4 | 22.5 MB | ||
| 003 Selecting and arranging your variables_en.vtt | 3.9 KB | ||
| 004 Recoding data.mp4 | 54.2 MB | ||
| 004 Recoding data_en.vtt | 8.1 KB | ||
| 005 Advanced filtering and subsetting you data.mp4 | 58.6 MB | ||
| 005 Advanced filtering and subsetting you data_en.vtt | 10.9 KB | ||
| 006 Dealing with missing data.mp4 | 67.6 MB | ||
| 006 Dealing with missing data_en.vtt | 17.8 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 25 total files | |||
Introduction to R programming - Udemy
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 855 MB | Duration: 1h 26m
A general understanding of how R programming works and you’ll find it easy and in fact exciting to work in R!
What you'll learn
Install R and R studio
Work comfortably within R studio
Download packages
Install data
Do basic manipulation of data
Understand how R works with different types of data
Be able to perform some basic statistical analysis
Requirements
No experience needed. You will need everything you need to know.
Description
Finding R difficult? It doesn’t need to be. This course will walk you through the basics in a way that is easy to follow. Dr Martin teaches with examples that use datasets that are already built into R Studio, so you can replicate the code at home.
The trick with R programming is to start with the basics and have a clear analysis plan. It should look something like this: 1) import and inspect your data, 2) clean and shape your data, including selecting variables, filtering rows and dealing with missing values, 3) describe your data, including tables that summarise key parameters, 4) visualise your data, and 5) undertake appropriate statistical and modeling analysis.
This course will give you a general understanding of how R programming works. You’ll find it easy and in fact exciting to work in R once you’ve overcome the initial fear of programming. It makes a lot of sense to do data analysis using R because you’ll have a clean record of how you drew your conclusions. Working with R also facilitates collaboration with others (so you can get help from experts very easily).
If this is your first step into the world of R programming - welcome aboard. You’ll love it. So don’t delay, sign up now and start the adventure!
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Peterson Academy - Introduction to Music Theory - Samuel Andreyev EDU4U Posted by
EducationForAll in Other
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Peterson Academy - Introduction to Abnormal Psychology - Dr Robert O Pihl EDU4U Posted by
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