testing and experimental design in this we'll see the concept of / testing we'll go through the -testthe -statisticand the -valueall useful tools for determining whether result is actually real or result of random variation we'll dive into some real examples and get our hands dirty with some python code and compute the -statistics and -values following thatwe'll look into how long you should run an experiment for before reaching conclusion finallywe'll discuss the potential issues that can harm the results of your experiment and may cause you to reach the wrong conclusion we'll cover the following topicsa/ testing concepts -test and -value measuring -statistics and -values using python determining how long to run an experiment / test gotchas / testing concepts if you work as data scientist at web companyyou'll probably be asked to spend some time analyzing the results of / tests these are basically controlled experiments on website to measure the impact of given change solet' talk about what / tests are and how they work