Statistics for Data Science

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Students explore fundamental statistical concepts including working with different types of data, using sampling to make inferences, employing probability to draw conclusions, and performing hypothesis testing to validate results. Students will implement simple and multivariable linear regression, but more importantly, will distinguish the use of these models in statistics vs. machine learning. A/B testing will also be introduced in this course. These concepts will be worked in the software R.

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