Statistical Methods Every Data Scientist Should Know
Statistical Methods Every Data Scientist Should Know Statistics is the toolkit that turns raw numbers into insight. For a data scientist, knowing a few core methods helps you answer questions clearly, avoid errors, and share results with confidence. This guide covers practical methods you can apply in real projects. Descriptive statistics and probability Descriptive stats describe data at a glance: mean, median, mode, and spread. Visual checks like histograms or box plots accompany the numbers. A quick example: exam scores cluster around 70–80 with a standard deviation near 8. ...