MATH 370 Fundamentals of Data Analysis

Statistics are an important tool for making sense of large amounts of data, but they can also be misleading if not understood properly. The course focuses on what statistics are and how they can be used effectively in analysis. Topics covered include descriptive statistics, basic probability theory, hypothesis testing and elementary regression techniques, as well as the uses and abuses of quantitative data.

Prerequisite (or equivalent):

The course learning outcomes that you will demonstrate upon completion of this course are as follows:

Judge sources of data for accuracy, relevancy, and completeness.

Demonstrate the process of extracting trends with specific emphasis on the types of data encountered by members of the security and intelligence community.

Analyze data for meaning

Explain quantitative information and mathematical ideas

Discuss topics such as the nature of data, central tendency and dispersion, the mathematics of probability, sampling data, and extracting patterns from data.

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