How Does Credit Transfer Work
Students at Golden Gate University often use our Principles of Statistics course to complete general education or major requirements affordably while balancing others commitments.

Golden Gate University
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San Francisco, CA
The Principles of Statistics course at Golden Gate University is designed for students who want to gain practical skills while saving significantly on tuition. With NCCRS & ACE accreditation, this online course can transfer up to 3–4 credits directly to Golden Gate University programs, helping students finish their degree faster and at a lower cost.
Golden Gate University accepts courses recommended for college credit by ACE & NCCRS

Our courses are approved by the American Council on Education (ACE) — the same body that approves AP and IB — and are accepted for credit by thousands of universities, including Golden Gate University.

Our courses are approved by the National College Credit Recommendation Service (Previously known as National Ponsi) — the NYSED.GOV body that approves AP and IB — and are accepted for credit by thousands of universities, including Golden Gate University.
This course costs $250 through TransferCredit.org (UPI Study), compared to an estimated $900–$1,200 or more if taken directly at Golden Gate University
FAQ
How many credits will I earn for Principles of Statistics at Golden Gate University?
You will earn 3 transferable college credits, approved byACE & NCCRS, which can be applied toward your degree at Golden Gate University or over 2,100 U.S. universities.
Is the course self-paced and online?
Yes, it’s 100% online and self-paced. You can start anytime and finish on your own schedule within hours or days and then transfer it back to Golden Gate University for credit.
Will this course from UPI Study transfer to Golden Gate University?
Yes, the Principles of Statistics course is ACE- and NCCRS‑approved and can be submitted to Golden Gate University for credit toward general education or elective requirements.
How much does the course cost as compared to Golden Gate University?
The course costs $250 total, which is 5X more affordable compared to the higher tuition fees charged on campus at Golden Gate University or any community college near San Francisco, CA.
Course Details For Principles of Statistics
Learning Outcomes
Golden Gate University in San Francisco, CA
In Principles of Statistics at Golden Gate University in San Francisco, CA you can learn the same topics, transfer it and save tuition fees by a mile. This course, worth 3 transferable credits and approved by NCCRS & ACE, is designed to help students at Golden Gate University gain practical skills and, preparing them for success in degree programs and real-world careers. 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.

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