The topics covered in Data Science depending upon the level of the course i.e. whether students are enrolling for a basic course or a more advanced course. Basic courses generally introduce the student to concepts of **statistics and probability**, and then proceed towards **preliminary hypothesis testing** procedure such as **t-test, z-test, ANOVA, F-test,** etc and finally advances to cause-effect modelling such as **regression,** **fac**t**or analysis, logistic analysis,** etc.

Advanced courses, on the other hand, starts with **regression analysis** and then progresses to more complicated algorithms such as **random forest, decision trees, Bayesian principles, collaborative filtering **and so on.

Happy Learning :)

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