They are often confounded, and some say that there is no difference and that the data scientist is actually a statistician.īut in the end, if you put those opinions aside for a moment, most can agree on the fact that statistics is one of the core components used in data science and is one of the core components. Learning statistics for data science is very practical, and that’s why you should not forget to also (continue to) focus on practicing the theoretical concepts that you might have already learned at the start of your data science journey.īut what exactly is the difference between statistics and data science? It will help you apply statistics with Python. :)īy the way, if you’re still looking to start learning Python for data science, you should consider taking our Intro to Python For Data Science course. This list is not exhaustive of the statistics used in data science but is meant to get you started.
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