What’s the difference between data analysis, data analytics, statistics, applied Mathematics, and data science? Eli5
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Data Analysis: A really broad term that encompasses many other things, including most of Data Science.
Data Analytics: Analytics is a term that encompasses a set of tools and measurements, usually for measuring things like user engagement (how long does the user stay on this page? What do they usually click first? etc.)
Statistics: A field that is separate from, but mostly based on mathematics. Encompasses techniques for describing data (descriptive) and making predictions based on data (predictive)
Applied Mathematics: A sub-field of mathematics that is focused on using mathematics to solve tangible problems from other fields (e.g. physics, engineering, statistics). The majority of the field is differential equations, linear algebra, and probability.
Data science: Basically modern day statisticians. The main difference being that we’re being absolutely flooded with massive amounts of data constantly, so their job is to not only do statistics (and machine learning) with data, but also to build and integrate data pipelines (all the stuff that captures, transforms, and stores the data). Classical statisticians were a lot more worried about collecting good data efficiently, since collecting data was a manual process.
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