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Statistical Methods for Data Science

402112 - Statistical Methods for Data Science
Faculty

Faculty of Information Technology

Department

Data Science and AI

Credit Hours

3

Pre-requisite

903281

Co-requisite

-

Distribution

3 + 0
This course highlights the importance of applied statistics to the multidisciplinary field of data science by following statistical approaches to investigate and interpret data. Statistical estimates will be reviewed, i.e., estimates of location, and estimates of variability, as well as categorical data exploration, i.e., mode, expected value, and probability. Moreover, correlation measures will be introduced. Additionally, data distributions, statistical inferences and learning, statistical experiments, and significance testing will be studied. Practical applications will be incorporated for a clearer connection between statistics and data science applications using R and/or Python programming languages.