Learn how to analyze data using SPSS
Unravel the mysteries within data with SPSS software! SPSS is one of the most popular software packages used for statistical analysis and understanding data. Big data, prediction, and data mining all use SPSS.
Academic courses that use SPSS include psychology, education, research methods, nursing, social research, engineering management, and, naturally, statistics. SPSS appears in a wide range of applications in the business world, too, such as, automotive, pharmaceutical, medical device, outsourcing, and project management.
Data is generated from everything. Social media, educational research, hip replacement studies, Alaska Iditarod dog sled races, and automotive surveys all generate data. Although SPSS can read data in excel format, the capabilities of SPSS software eclipse those of programs like excel.
In this course, students will learn how to analyze data using the IBM SPSS software package. Using interesting datasets, this course focuses on using SPSS user-friendly menus with point-and-click. The course also includes introductions to statistics, data, and SPSS Command Syntax Language programming. No prior knowledge of statistics or programming is assumed.
- SPSS software download and installation guidance - license included in the first lecture
- Basic statistics: mean, median, range, standard deviation, histograms, frequency distribution
- Using SPSS: crosstabs, import, export, save, correlations, chart builder
- Data quality control, missing values, absurd values, data cleaning, formats, create new variables, file formats (xls, txt, pdf)
- Fun data! Iditarod dog sled race, 1662 wolf!, automotive, pharmaceutical, financial, environmental
- Advanced techniques: regression, correlation, ANOVA, ROC curves, nonparametric, big data, data mining
- Programming and code basics of SPSS Command Syntax Language, ASCII, hexadecimals, Braille, useful directory setup.
Course typically offered: Online in Fall and Spring quarters.
Software: Enrollment in the course includes your license for IBM SPSS for the duration of the course.
Note: This course is taught in accelerated format and completes in five weeks.
More Information: For more information about this course, please contact firstname.lastname@example.org.
Course Number: CSE-41254
Credit: 3.00 unit(s)
Related Certificate Programs: Biostatistics, Business Intelligence Analysis
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4/19/2023 - 5/17/2023
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Dean Barron teaches statistics and programming and is senior statistician, expert witness and president of twobluecats.com. He has also tutored high school, undergraduate, and graduate students, including thesis and dissertations. Data analyzed includes automotive, aerospace, pharmaceutical, wine, and veterinary. Dean programs in SPSS, SAS, and FORTRAN; on mainframe, UNIX, and PCs. He has composed over one million lines of computer code; numbers are his friends! International talks include Belgium, Israel, and United States. Dean enjoys chess and cats. He speaks English, French, some Russian, and a little Hebrew.
Code: The Hidden Language of Computer Hardware and Software 1st
by Charles Petzold
ISBN / ASIN: 9780735611313
You may purchase textbooks via the UC San Diego Bookstore.
No refunds after: 4/18/2023.
4/19/2023 - 5/17/2023
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or email@example.com for information about when this course will be offered again.