3.1 sec in total
257 ms
2.3 sec
467 ms
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Visit analyticscourse.netWe analyzed Analyticscourse.net page load time and found that the first response time was 257 ms and then it took 2.8 sec to load all DOM resources and completely render a web page. This is a poor result, as 55% of websites can load faster.
analyticscourse.net performance score
name
value
score
weighting
Value4.0 s
22/100
10%
Value8.1 s
2/100
25%
Value5.5 s
55/100
10%
Value670 ms
45/100
30%
Value0.134
80/100
15%
Value9.7 s
29/100
10%
257 ms
1120 ms
90 ms
104 ms
92 ms
Our browser made a total of 78 requests to load all elements on the main page. We found that 82% of them (64 requests) were addressed to the original Analyticscourse.net, 5% (4 requests) were made to Fonts.gstatic.com and 3% (2 requests) were made to Stats.wp.com. The less responsive or slowest element that took the longest time to load (1.1 sec) belongs to the original domain Analyticscourse.net.
Page size can be reduced by 57.5 kB (12%)
467.1 kB
409.6 kB
In fact, the total size of Analyticscourse.net main page is 467.1 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. 50% of websites need less resources to load. Images take 393.6 kB which makes up the majority of the site volume.
Potential reduce by 48.9 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 48.9 kB or 76% of the original size.
Potential reduce by 8.5 kB
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Analytics Course images are well optimized though.
Potential reduce by 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. This website has mostly compressed JavaScripts.
Number of requests can be reduced by 55 (79%)
70
15
The browser has sent 70 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Analytics Course. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 30 to 1 for JavaScripts and from 27 to 1 for CSS and as a result speed up the page load time.
analyticscourse.net
257 ms
www.analyticscourse.net
1120 ms
style.css
90 ms
style.min.css
104 ms
mediaelementplayer-legacy.min.css
92 ms
wp-mediaelement.min.css
98 ms
broadcasts.css
97 ms
button.css
102 ms
form.css
170 ms
bundle.min.css
164 ms
woocommerce-layout.css
175 ms
woocommerce.css
178 ms
genesis-sample-woocommerce.css
185 ms
learndash_quiz_front.min.css
176 ms
style.min.css
236 ms
dashicons.min.css
263 ms
styles.css
249 ms
front.min.css
244 ms
jquery.dropdown.min.css
250 ms
learndash_pager.min.css
259 ms
learndash_template_style.min.css
299 ms
learndash_lesson_video.min.css
315 ms
photoswipe.css
297 ms
reviewer-public.css
345 ms
css
54 ms
front-end.css
331 ms
jetpack.css
354 ms
jquery.min.js
395 ms
jquery-migrate.min.js
386 ms
bundle.min.js
413 ms
jquery.blockUI.min.js
417 ms
add-to-cart.min.js
418 ms
js.cookie.min.js
418 ms
woocommerce.min.js
537 ms
analytics-talk-content-tracking.js
436 ms
s-202435.js
35 ms
wc-blocks.css
448 ms
broadcasts.js
549 ms
convertkit.js
550 ms
player.js
80 ms
e-202435.js
33 ms
gtm4wp-form-move-tracker.js
548 ms
gtm4wp-vimeo.js
469 ms
gtm4wp-ecommerce-generic.js
468 ms
gtm4wp-woocommerce.js
534 ms
reviewer-front-end.js
601 ms
hoverIntent.min.js
521 ms
superfish.min.js
520 ms
superfish.args.min.js
512 ms
skip-links.min.js
567 ms
sourcebuster.min.js
558 ms
order-attribution.min.js
494 ms
responsive-menus.min.js
491 ms
gtm.js
186 ms
fbds.js
117 ms
fbevents.js
132 ms
hotjar-227060.js
228 ms
cropped-Analytics-Course.png
329 ms
jeff.png
326 ms
cert-1.png
328 ms
video-1.png
303 ms
customer.png
330 ms
access-1.png
374 ms
download.png
330 ms
1df7072.jpg
357 ms
kurien.png
411 ms
Dan-Bassett-Testimonial.jpg
353 ms
Vanessa-Bright.jpg
401 ms
fred-pike.jpg
404 ms
jack-8772-150x150@2x-1.jpg
425 ms
Product-hero-shot-1.png
453 ms
7081.js
168 ms
djtflbt20bdde.cloudfront.net
18 ms
6xK3dSBYKcSV-LCoeQqfX1RYOo3qOK7j.woff
74 ms
6xKydSBYKcSV-LCoeQqfX1RYOo3i54rwlxdo.woff
122 ms
6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vwlxdo.woff
135 ms
6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff
136 ms
woocommerce-smallscreen.css
49 ms
analyticscourse.net accessibility score
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
Heading elements are not in a sequentially-descending order
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Links do not have a discernible name
analyticscourse.net best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
Page has valid source maps
analyticscourse.net SEO score
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Analyticscourse.net 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 Analyticscourse.net 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.
analyticscourse.net
Open Graph data is detected on the main page of Analytics Course. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: