From the course: Data Science and Analytics Career Paths and Certifications: First Steps
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Simulations
From the course: Data Science and Analytics Career Paths and Certifications: First Steps
Simulations
Simulations imitates the operation of a real-world system. The true power of simulation comes from its predictive nature. A computer simulation can completely rely on a mathematical model, can be interpreted into an algorithm, and then finally implemented into a piece of code. A physics engine used for gaming is an excellent example of this. This purely model-driven simulation is not always accurate and can misrepresent what can happen in the real world, which is why data science can play an important role in simulations. By feeding real-life data into a simulation model, scientists can improve the accuracy of a simulation drastically. In addition to the improved accuracy, the simulation model aided by this infusion of a large amount of real-life data can also significantly enhance its predictive power. For example, the field of climatology is one of the beneficiaries of the recent progresses of big data analytics. Now meteorologists can predict future weather patterns with much more…
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