School of Continuing Studies

XBUS-504 Data Analysis I: Statistics

Available dates

Mar 14—21, 2020
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day
Apr 18—25, 2020
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day

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About the course

The fields of statistics and probability were founded on empirical analysis of data (e.g. human height). Data scientists must possess a strong foundation in statistics and probability to uncover patterns and build models, algorithms, and simulations. This course reviews the basics of descriptive and inferential statistics, distributions, probability, and regression with a specific focus on application to real data sets.

Course Objectives

Upon successful completion of the course, students will:

  • Explain descriptive and inferential statistics
  • Compute measures of central tendency, variance, and probabilities
  • Produce and interpret meaningful and accurate summary statistics for a given data set
  • Conduct hypothesis tests and understand the difference between Type I and Type II errors
  • Develop single and multivariate regression models
  • Differentiate between correlation and causation

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