Report Summary

  • 0

    Performance

  • 0

    Accessibility

  • 0

    Best Practices

  • 0

    SEO

qgeroccq.labs.coursera.org

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Page Load Speed

783 ms in total

First Response

49 ms

Resources Loaded

497 ms

Page Rendered

237 ms

qgeroccq.labs.coursera.org screenshot

About Website

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Key Findings

We analyzed Qgeroccq.labs.coursera.org page load time and found that the first response time was 49 ms and then it took 734 ms to load all DOM resources and completely render a web page. This is quite a good result, as only 10% of websites can load faster.

Performance Metrics

qgeroccq.labs.coursera.org performance score

0

Network Requests Diagram

qgeroccq.labs.coursera.org

49 ms

qgeroccq

139 ms

allStyles.d859a00721aac294e08d.css

49 ms

allStyles.d859a00721aac294e08d.js

98 ms

en.app.c5a2bb22b4eda5296af7.js

100 ms

Our browser made a total of 5 requests to load all elements on the main page. We found that 20% of them (1 request) were addressed to the original Qgeroccq.labs.coursera.org, 60% (3 requests) were made to D3njjcbhbojbot.cloudfront.net and 20% (1 request) were made to Coursera.org. The less responsive or slowest element that took the longest time to load (139 ms) relates to the external source Coursera.org.

Page Optimization Overview & Recommendations

Page size can be reduced by 88.8 kB (52%)

Content Size

171.5 kB

After Optimization

82.7 kB

In fact, the total size of Qgeroccq.labs.coursera.org main page is 171.5 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 65% of websites need less resources to load. HTML takes 144.4 kB which makes up the majority of the site volume.

HTML Optimization

-61%

Potential reduce by 88.8 kB

  • Original 144.4 kB
  • After minification 144.4 kB
  • After compression 55.7 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 88.8 kB or 61% of the original size.

JavaScript Optimization

-53%

Potential reduce by 70 B

  • Original 132 B
  • After minification 71 B
  • After compression 62 B

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 70 B or 53% of the original size.

CSS Optimization

-0%

Potential reduce by 0 B

  • Original 27.0 kB
  • After minification 27.0 kB
  • After compression 27.0 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Qgeroccq.labs.coursera.org has all CSS files already compressed.

Requests Breakdown

We found no issues to fix!

Requests Now

3

After Optimization

3

The browser has sent 3 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Qgeroccq Labs Coursera. According to our analytics all requests are already optimized.

SEO Factors

qgeroccq.labs.coursera.org SEO score

0

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Qgeroccq.labs.coursera.org can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Qgeroccq.labs.coursera.org main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

Open Graph data is detected on the main page of Qgeroccq Labs Coursera. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: