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Detailed Course Information


Fall 2019
Mar 28, 2023
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STAT 35500 - Statistics For Data Science
Credit Hours: 3.00. An introduction to methodologies for data analysis and simulation. Populations and sampling. Distributions and summaries of distributions. Algorithms for sampling and resampling. Foundational statistical concepts including confidence intervals, hypothesis testing, correlation. Introduction to classification and regression. Essential use is made of statistical software throughout. Typically offered Fall Spring.
0.000 OR 3.000 Credit hours

Syllabus Available
Levels: Graduate, Professional, Undergraduate
Schedule Types: Distance Learning, Lecture

Offered By: College of Science
Department: Statistics

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

Learning Outcomes: 1. Utilize simulations to generate data (statistical simulations). 2. Explain sampling distributions, their properties, and methods for resampling (Statistical Reasoning). 3. Explain foundational concepts such as confidence intervals, hypothesis testing, correlations, etc., and apply these concepts in statistical process (Statistical Concepts). 4. Assess statistical problems, and justify and apply statistical methods used to solve the problem (Statistical Thinking).

Must be enrolled in one of the following Majors:     
      Data Science
      Data Science First Year
      Data Science

Undergraduate level MA 16100 Minimum Grade of C-

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