Optimization & A/B Testing Statistics's Full Profile
Whether you've got a lean startup or a fat Fortune 500, the faster you learn the faster you'll grow. Optimization and a/b testing is at the heart of learning fast.I guarantee you will learn something in this course that will raise your skill level. With the 30-day money-back guarantee, you can't lose. We start with the basics, then cover the 8 steps of running a solid a/b test. Next we dive deep into the statistics behind hypothesis testing. In the long-run you will save your organization headaches by setting up tests correctly and analyzing them with the right statistical rigour. There is double and triple digit ROI around optimization for companies that figure it out. Start now and impress your colleagues on Monday morning.Topics include:Examples of a/b testsHypothesis testingMeasurement as risk reductionSelecting a KPI or success metric8 Steps for Running an A/B TestSelecting from amongs a/b test and MVT test designsLift ThresholdNull HypothesisStatistical significanceSample size estimatesconfidence intervaltest statistict-testsstandard error of the meanchi-squareFischer Exact testStatistical PowerType I errorType II errorp-valuesHow to choose what statistical test to run
- Level of Difficulty: Intermediate
- Size: Large Class
- Instructor: Jared Waxman
- Cost: $199 Per Course
- Institution: Udemy
- Topics: General Business, Statistics
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