Principles of Statistics
Earn college credit with Principles of Statistics—a self-paced online course covering descriptive statistics, probability, sampling, hypothesis testing, and regression basics. Complete short lessons, quizzes, and assignments on your schedule, then finish with a proctored final exam. Ideal for business, healthcare, and STEM prerequisites, with transcript options for transfer credit.
UPI Study offers 70+ affordable online college courses Business, Computer Science, Natural Sciences, Psychology, English, Math & More. Earn transferable college credit through UPI Study for elective or primary requirements.
Over 48750 students have already transferred credits to over 1750 universities till 2026 via ACE & NCCRS Credit Accreditation.
Upon successful completion of the course, students will be able to: master key statistical concepts, including descriptive and inferential statistics, probability distributions, measures of central tendency, and dispersion, while differentiating between data types for appropriate statistical treatments; analyze, interpret, and visualize business data using statistical software like Excel, performing accurate and efficient calculations for data manipulation and graph/chart creation; apply statistical methods to real-world business scenarios, using data-driven insights to inform and optimize business strategies, operational efficiencies, and market research; critically assess the quality and reliability of data sources, identify potential biases in statistical analysis, and understand their impact on business decision-making; present statistical findings clearly and concisely, suitable for various audiences, including writing reports and giving presentations to effectively communicate statistical analyses; and hone problem-solving abilities using statistical methods to address complex business challenges, focusing on developing logical and analytical thinking for data-driven problem-solving.
Learn more about Principles of Statistics
Learning Outcomes
Upon successful completion of the course, students will be able to: master key statistical concepts, including descriptive and inferential statistics, probability distributions, measures of central tendency, and dispersion, while differentiating between data types for appropriate statistical treatments; analyze, interpret, and visualize business data using statistical software like Excel, performing accurate and efficient calculations for data manipulation and graph/chart creation; apply statistical methods to real-world business scenarios, using data-driven insights to inform and optimize business strategies, operational efficiencies, and market research; critically assess the quality and reliability of data sources, identify potential biases in statistical analysis, and understand their impact on business decision-making; present statistical findings clearly and concisely, suitable for various audiences, including writing reports and giving presentations to effectively communicate statistical analyses; and hone problem-solving abilities using statistical methods to address complex business challenges, focusing on developing logical and analytical thinking for data-driven problem-solving.
Major Course Topics
Major topics include introduction to Business Statistics; categorical data; descriptive statistics: measurement techniques; descriptive statistics: data representation; dispersion measures in Business; correlation and association in Business; probability concepts and distributions in Business Statistics; sampling techniques; constructing confidence intervals; hypothesis testing in business contexts; analyzing variance in business research; nonparametric methods in business statistics; regression analysis in business; business forecasting techniques; and implementing control charts in business processes.