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Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.

Contributing

If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:

  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.

We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.

If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.

Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:

  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?

If you're on the fence about any of these, err on the side of sending a pull request!

About

http://DataScienceSpecialization.github.io

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - bigreddmachine/DataScienceSpecialization.github.io: http://DataScienceSpecialization.github.io · GitHub
Skip to content
BranchesTags
Repository files navigation
DSS Community Site
Since the beginning of the Data Science Specialization we've noticed the unbelievable passion students have about our courses and the generosity they show toward each other on the course forums. A couple students have created quality content around the subjects we discuss, and many of these materials are so good we feel that they should be shared with all of our students. This site is meant to serve as a central directory for community created content.
Contributing
If you've created a web page, video, slideshow, or any other kind of media you think should be shared through this directory you should:
  1. Fork this repository.
  2. Add a link to your content on the appropriate course page.
  3. Commit your changes.
  4. Submit a pull request.
We've created a sample pull request to show you what we would like to see in a pull request. If we think your creation is well made, informative, and adds something new to this repository of content then we'll merge your request and add you to our list of contributors. If you happen to notice any inaccuracies or idiosyncrasies on this site or in this site's content, please let us know by opening an issue.
If you are not the author of the content you are submitting you are welcome to add your link to the Curated Knowledge page. We've created this page specifically so that you can share data science resources that you've found useful.
Otherwise if you are the author of the content you're submitting you should ask yourself the following questions:
  1. Does my contribution teach?
  2. Does the content of my contribution clearly address topics in the Data Science Specialization?
  3. Could my contribution be seamlessly integrated into the canonical course materials?
If you're on the fence about any of these, err on the side of sending a pull request!
About
http://DataScienceSpecialization.github.io
Resources
Readme
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages