Theory: What is Data Science?
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Hi, I'm Mari and I lead the Content team at DataCamp. We are an international team of data scientists, analysts, statisticians, programmers, and much more.
Data Science is a dynamic field. The tools that we use and the capabilities of our teams are changing every day. In this course, I'll explain what data science is, and how you can use it to strengthen your organization!
If we Google "What is Data Science?", we'll see a huge amount of confusing information.
But Data Science is actually simple. It's a set of methodologies for taking in thousands of forms of data that are available to us today and using them to draw meaningful conclusions.
Data is all around us. Every like, click, email, credit card swipe, or tweet is a new piece of data that can be used to better describe the present or better predict the future.
So what can data do for you and your team?
Data can describe our current state. This can be accomplished with dashboards or alerts, simplifying time-intensive reporting processes with new data technology.
It can help detect anomalous events. If we have data on what has happened previously, we can increase efficiency by automatically detecting a new event that is unexpected.
Data can also diagnose the causes of observed events and behaviors. Rather than determining correlations between small numbers of events, data science techniques help us understand complex systems with many possible causes.
Finally, data can predict future events. We can use new techniques to take various causes into account and predict potential outcomes. Further, we can evaluate the probability of our prediction mathematically to clarify our level of uncertainty.
So now we know what data science is.
The next question is why is it so popular?
The answer is pre
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