School of Continuing Studies
XBUS-504 Data Analysis I: Statistics
Oct 19—26, 2019
2 daysModules infoWashington, District of Columbia, United States
USD 833
USD 416 per day
Nov 2—9, 2019
2 daysModules infoWashington, District of Columbia, United States
USD 833
USD 416 per day
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Full disclaimer.Description
Course Details
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
Experts
David is a Data Scientist at U.Group, leveraging data to address complex business problems, identify user needs, and amplify the abilities of everyone to find solutions. He is an enthusiastic collaborator who values working with others. Before joining U.Group, David spent 9 years as a high school...