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Practical Math & Statistics for Data Science

A prerequisite for the Data Science Certificate Program and an elective course in the Data Analytics for Business Certificate Program.

Course closed to new registrations: Call ( 949 ) 824-5414 for more information or sign up below to be notified when this course becomes available.×

Course Description

Practical Math and Statistics are the foundation of the fields of Data Science and Predictive Analytics. Statistics are used in every part of business, science, and institutional data processing. This course covers fundamental statistical skills needed for Data Science and Predictive Analytics. This is an application-oriented course and the approach is practical. Students will take a look at several statistical techniques and discuss situations in which one would use each technique, the assumptions made by each method, how to set up the analysis, as well as how to interpret the results. This course starts with an introduction to data analysis. Next the course covers the fundamental concepts of descriptive statistics, probability, and inferential statistics, which include the central limit theorem, and hypothesis testing. From there the course will focus on various statistical tests, including the Chi-Square test of independence, t-tests, correlation, ANOVA, linear regression, time series, and applying previously learned techniques in new situations.

NOTE: This course uses the software SPSS. Students have the option to access the software through UCI's Virtual Machine. Access to the Virtual Machine requires a UCInetID. This course may use live sessions via Zoom. While students are highly encouraged to attend, all sessions are optional and will be recorded. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

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  • Details
  • $795
  • April 03, 2023 to May 28, 2023
  • Delivery Mode: Online
  • Reg#: 00232
  • ID/Units: I&C SCI X425.99  (2.50)
    ( Section 1 )
  • Quarter: SPRING 2023


Mr. Thompson is an experienced statistician and data science professional with expertise in Statistical Modeling and Inference, SAS, SQL, and Python. He has experience in government consulting, the financial services industry, and the hospitality industry. ,He was a Senior Manager with Price Waterhouse where he was a firm expert in Statistical Sampling. He holds a B.S. in Mathematics, an M.S. in Applied Statistics, and an M.B.A.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

Required Textbook(s):

SPSS Statistics For Dummies
Book - ISBN: 9781119560838
McCormick, K. and Salcedo, J., 4 ed, For Dummies

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START04/03/2023Monday------Online (Access Begins)---
OL-LEC04/04/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC04/11/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC04/18/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC04/25/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC05/02/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC05/09/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC05/16/2023Tuesday6:00 PM7:00 PMZoom---
OL-LEC05/23/2023Tuesday6:00 PM7:00 PMZoom---
END05/28/2023Sunday------Online (Access Ends)---