Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 1: Site Configuration
Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 1: Site Configuration
Watch Part 2: https://youtu.be/Td_NjdrwPkQ
Timeline
0:00 Intro
0:58 Finding & forking a theme
3:05 Folder structure explained
4:43 Site configuration
7:09 Additional resources
Requirements
Github account: https://github.com
Jekyll: https://jekyllrb.com/docs/installation/ and dependencies
An IDE: Visual Studio Code https://code.visualstudio.com/
Jekyll Themes:
https://github.com/topics/jekyll-theme
https://jekyllthemes.io/
http://jekyllthemes.org/
https://jamstackthemes.dev/ssg/jekyll/
The theme that I'm using (Clean Blog Jekyll):
https://github.com/StartBootstrap/startbootstrap-clean-blog-jekyll
Additional Resources:
Giraffe Academy Jekyll Tutorial Series: https://youtube.com/playlist?list=PLLAZ4kZ9dFpOPV5C5Ay0pHaa0RJFhcmcB
HTML & CSS Tutorials:
https://www.w3schools.com/html/
https://www.w3schools.com/css/default.asp
GitHub Pages Documentation:
https://docs.github.com/en/free-pro-team@latest/github/working-with-github-pages/getting-started-with-github-pages
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Web Scrape Text from ANY Website - Web Scraping in R (Part 1)
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Web Scrape Nested Links/Multiple Pages - Web Scraping in R (Part 2)
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Animate Graphs in R: Make Gorgeous Animated Plots with gganimate
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Word Clouds in R: Useful & Beautiful Word Clouds with wordcloud2
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Web Scrape in Google Sheets: IMPORTHTML, IMPORTDATA, & IMPORTFEED Functions (Part 1)
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Web Scrape in Google Sheets: IMPORTXML Function (Part 2)
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Make Interactive Graphs in R: Creating & Embedding Interactive Graphs with plotly
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R Maps: Beautiful Interactive Choropleth & Scatter Maps with Plotly
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Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 1: Site Configuration
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Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 2: Adding Posts
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Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 3: Customization
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Regex Basics | Match, Extract, and Clean Text
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Scrape Websites with Regular Expressions
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Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & more
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Dplyr Advanced Guide: data cleaning, reshaping, and merging with lubridate, stringr, tidyr, ggplot2
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Linear Regression Plots in R
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Chapters (5)
Intro
0:58
Finding & forking a theme
3:05
Folder structure explained
4:43
Site configuration
7:09
Additional resources
🎓
Tutor Explanation
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