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Bayesian Machine Learning in Python: A/B Testing
by Lazy Programmer Inc.- 4.6
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10.5 hours on-demand video
A/B testing is used everywhere. You’ll probably need to come back to this course several times before it fully sinks in. The things you’ll learn in this course are not only applicable to A/B testing, but rather, we’re using A/B testing as a concrete example of how Bayesian techniques can be applied....
$14.99
Technical Web Testing 101
by Alan Richardson- 3.6
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10 hours on-demand video
It will introduce you to the basic concepts and tools you need to help you take the next step in your testing evolution. Instead I decided to collate all the smaller courses into this....
$12.99
Coding for A/B testing: Run more AB tests, find more winners
by Ruben de Boer- 4.7
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6.5 hours on-demand video
Learn HTML, CSS, JS & data tracking for AB testing and build your own AB tests without the help of a developer The learnings in this course are applicable to every testing tool on the market. Coding for A/B testing course structure Section 3: CSS for AB testing Section 4: Javascript (jQuery) for AB testing...
$12.99
Software Testing,QA Testing, Manual Testing,SDLC,Test Plan
by QAEversity .- 4
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2 hours on-demand video
It is must required to understand software development life cycle before executing software testing concepts. IT professionals can never reach the expected level of success without a strong foundation in software development and software testing concepts. Also, it has not been easy to find project oriented and real-time training in software testing fundamentals....
$14.99
Learn Ethical Hacking from Entry to Expertise
by InSEC- Techs- 0.0
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49 hours on-demand video
About Course 2: Web Application Penetration Testing Web Application Penetration Testing (WAPT) Course is IT Security (Offensive) Security Course that teaches you how to find (Manual & Tool based teachniques) vulnerabilities (bugs or loopholes, like coding mistakes, configuration mistakes or errors etc) specific to web applications & web servers. About Course 3: Penetration Testing with Metasploit...
$12.99
Mobile App Testing-Android/iOS App Test Automation with Java
by QAEversity .- 3.3
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5.5 hours on-demand video
This course demonstrates advanced hands-on concepts of manual and automated mobile application testing using Java This is where mobile testing comes into play and it has become a crucial part of our software testing. QAEversity is focused to make it easier for QA professionals to deliver the proper mobile testing training solution....
$11.99
Web Services Testing using SoapUI
by QAEversity .- 2.9
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5 hours on-demand video
Become an expert in web services testing using the popular tool SoapUI This is another award winning and popular course from us and we are showcasing it on Udemy for the first time. Web services testing is becoming a major part of quality assurance. This is why web services testing skills have become very popular in today’s IT market....
$11.99
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Angular 2-8 Unit Testing With Jasmine & Karma Step By Step
by Ivan Westen- 3.7
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3 hours on-demand video
It aims to simplify both the development and the testing of applications by providing a framework for client-side model–view–controller (MVC) and model–view–viewmodel (MVVM) architectures, along with components commonly used in rich Internet applications. While other courses may be wide and shallow, in this course you will be sure to acquire practical unit testing skills with Jasmine once you are finished....
$11.99
Six Sigma Tools for Improve and Control
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.8
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Approx. 9 hours to complete
Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ). Hypothesis Testing Hypothesis Testing Basics Hypothesis Testing Basics - Recommended Reading Hypothesis Testing Practice Quiz Hypothesis Testing Graded Quiz...
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
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Approx. 9 hours to complete
This course will help us to evaluate and compare the models we have developed in previous courses. So far we have developed techniques for regression and classification, but how low should the error of a classifier be (for example) before we decide that the classifier is "good enough"? Or how do we decide which of two regression algorithms is better?...
