r-for-data-science-lunchbreak-lessons
Source files for the LinkedIn Learning Course
https://github.com/mnr/r-for-data-science-lunchbreak-lessons
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary
Keywords
Repository
Source files for the LinkedIn Learning Course
Basic Info
- Host: GitHub
- Owner: mnr
- License: gpl-3.0
- Language: HTML
- Default Branch: master
- Homepage: https://linkedin-learning.pxf.io/r_lunchbreak
- Size: 16.7 MB
Statistics
- Stars: 90
- Watchers: 19
- Forks: 54
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
R Language Mini Tutorials
Source files for the LinkedIn Learning Course
Programming is learned in small bits. You build on basic concepts. You transfer the knowledge you already have to the next language. Lunch Break Lessons teaches R—one of the most popular programming languages for data analysis and reporting—in short lessons that expand on what existing programmers already know.
The five minutes you spend each week will provide you with a building block you can use in the next two hours at work. Review language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive.
Copyright Mark Niemann-Ross, 2017 - join the discussion - My LinkedIn Profile - My Github account - More of my courses at LinkedIn Learning - niemannross.com
Index to topics covered in my LinkedIn Learning R courses
apply
apropos
array
barplot()
cbind
change
variable
character
complex
create
variable
data()
data.frame
delete
variable
dimnames
factor
integer
lapply
levels()
list
logical
matrix
merge
nlevels()
order
ordered()
raw
rbind
real
sort
str()
string
sum()
t()
table()
vector math
vector subsetting
vectors
Owner
- Name: Mark Niemann-Ross
- Login: mnr
- Kind: user
- Location: Portland, OR
- Company: lynda.com -> LinkedIn Learning -> Microsoft
- Website: https://niemannross.com
- Repositories: 39
- Profile: https://github.com/mnr
I write fiction and teach courses in R, Raspberry Pi, and SQL for LinkedIn Learning
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'R for Data Science: Lunchbreak Lessons'
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- name-particle: Mark
email: mark@niemannross.com
family-names: Niemann-Ross
orcid: 'https://orcid.org/0000-0002-3381-4604'
identifiers:
- type: url
value: 'https://linkedin-learning.pxf.io/r_lunchbreak'
description: >-
Lunch Break Lessons teaches R in short lessons
that expand on what existing programmers
already know.
url: 'https://linkedin-learning.pxf.io/r_lunchbreak'
abstract: >-
Programming is learned in small bits. You build on
basic concepts. You transfer the knowledge you
already have to the next language. Lunch Break
Lessons teaches R—one of the most popular
programming languages for data analysis and
reporting—in short lessons that expand on what
existing programmers already know.
The five minutes you spend each week will provide
you with a building block you can use in the next
two hours at work. Review language basics, discover
methods to improve existing R code, explore new and
interesting features, and learn about useful
development tools and libraries that will make your
time programming with R that much more productive.
keywords:
- R
- LinkedIn Learning
GitHub Events
Total
- Watch event: 5
- Fork event: 1
Last Year
- Watch event: 5
- Fork event: 1