Statistics Courses and Classes Overview
Get the facts about undergraduate and graduate statistics courses in a variety of fields. Take a look at course descriptions and common requirements, and find out what kinds of programs include training in statistics.
Statistics courses are frequently offered through certificate, associate's degree, bachelor's degree and master's degree programs in statistics, mathematics, business administration and numerous physical and social science disciplines.
Standalone statistics courses are widely available in on-campus and online formats as well; some lead to college credit, while others are offered on a non-credit basis for free. In general, students use statistical models to analyze and interpret data, and they may participate in lab training sessions or research projects. Some statistics classes are specific to an individual discipline, and others cover general statistics.
Here is a list of concepts commonly examined in statistics courses:
- Data mining
- Regression analysis
- Linear models
- Survey sampling
List of Courses
Students often start their studies with an elementary statistics course. These courses cover probability, frequency distributions, graphing and correlations. Other concepts covered may include measures of location and variation, joint and marginal probabilities and regression. Students who take this course are often majoring in social, behavioral and physical sciences. Graduate students embarking on research projects may also take a course in descriptive statistics.
An applied statistics course is generally intended for individuals majoring in the natural sciences, mathematics or secondary math education. Students manipulate data and estimate the probability of an event occurring. Other topics include surveys and experiments, tests of significance, exploratory data analysis and sampling distributions.
This intermediate statistics course is typically available to individuals majoring in math or statistics. This course builds on the principles of statistics and probability and delves into various probability theories, such as Bayes theorem, conditional probability and axiomatic probability theory. Students also begin integrating random variables into their analyses. Professors demonstrate how expectation, distribution and correlation affect probability.
Biostatistics involves the analysis of data from biology experiments. Students use regression, frequency distributions and variations in their analyses. Instead of just studying statistical theory, students are encouraged to analyze the data they gather while completing experiments.
Statistical Design and Experiment Analysis
Graduate students who are conducting experiments or research may take a statistical design and experiment analysis class. Students learn how to design quality experiments and perform valid analyses of their data. Graduate programs that have a dissertation or thesis requirement may require students to take this course.