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OKSTEM College · AS Computer Science
MATH 201: Statistics & Probability
Master the statistics that underlie data science, machine learning, and research.
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10 Lessons
01
Descriptive Statistics: Mean, Median, Mode, Spread
02
Data Visualization & Distribution Shapes
03
Probability Fundamentals
04
Conditional Probability & Bayes' Theorem
05
Discrete Random Variables & Expected Value
06
Binomial & Poisson Distributions
07
Continuous Distributions & the Normal Curve
08
Sampling Distributions & the Central Limit Theorem
09
Confidence Intervals
10
Hypothesis Testing
Learning Outcomes
Compute and interpret descriptive statistics
Apply probability rules and Bayes' theorem
Understand common distributions
Perform hypothesis tests and build confidence intervals