As a student of Data Science, a thorough understanding of statistics is an absolute must. Everyone can use digital tools to simply create summary statistics or even visualize some data. You will never be a true data scientist though if you either don’t understand the results you are seeing or if the data analysis you are performing makes sense in any shape or form.

A typical entry level example is the repeated role of a dice. Let’s assume you roll a dice ten times and the 6 comes up 3 times. You might ask yourself if this was pure luck or if there is something wrong with the dice. With a thorough understanding of statistics, you will learn to differentiate between event occurrences by chance or by rules. You will learn how to formulate statistical hypotheses in a way which will allow a proper planning and correct analysis to eventually draw reasonable conclusions.