Workshops for Fall Quarter, 2018
Introduction to Stata, Tuesday, October 2, from 9 a.m. to 12 noon in CLICC Classroom C (third floor of the Powell Library building)
Description: Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics, graphics and data management. The class notes are the scripts for the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the output. The class notes are not meant to be a Stata textbook or a reference manual. The notes for the workshop can be found at https://stats.idre.ucla.edu/stata/seminars/notes15/ .
Note: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person. Intro to Stata sign up
Introduction to SAS, Tuesday, October 9, from 9 a.m. to 12 noon in CLICC Classroom C (third floor of the Powell Library building)
Description: SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The SAS class notes do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. The notes for the workshop can be found at https://stats.idre.ucla.edu/sas/seminars/notes/ .
Note: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person. Intro to SAS sign up
SAS Macro Language 1: Essentials, Monday and Tuesday, October 15 and 16, from 9 a.m. to 5 p.m. in Math Sciences 5628 (the Visualization Portal)
This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed.
This course can help prepare you for the following certification exam(s): SAS Advanced Programming for SAS 9, SAS Certified Clinical Trials Programmer Using SAS 9.
Learn how to perform text substitution in SAS code, automate and customize the production of SAS code, conditionally or iteratively construct SAS code and use macro variables and macro functions.
Before attending this course, you should have completed the SAS Programming 2: Data Manipulation Techniques course or have equivalent knowledge. Specifically, you should be able to use a DATA step to read from or write to a SAS data set or external file, use DATA step programming statements such as IF-THEN/ELSE, DO WHILE, DO UNTIL, and iterative DO, use SAS data set options such as DROP=, KEEP=, and OBS=, use character functions such as SUBSTR, SCAN, INDEX, and UPCASE, form subsets of data using the WHERE clause, create and use SAS date values and constants and use SAS procedures such as SORT, PRINT, CONTENTS, MEANS, FREQ, TABULATE, and CHART.
Note: Only those currently affiliated with the University of California may attend this workshop.
To sign up, please click here: https://www.surveygizmo.com/s3/4543590/Onsite-Workshops-University-of-California-Los-Angeles
SAS SQL 1: Essentials, Wednesday and Thursday, October 17 and 18, from 9 a.m. to 5 p.m. in Math Sciences 5628 (the Visualization Portal)
This course teaches you how to process SAS data using Structured Query Language (SQL).
This course can help prepare you for the following certification exam(s): SAS Advanced Programming for SAS 9.
Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views and indexes, replace multiple DATA and PROC steps with one SQL query.
Before attending this class, you should be able to submit SAS programs on your operating system, create and access SAS data sets, use arithmetic, comparison, and logical operators, invoke SAS procedures.
You can gain this experience from the SAS Programming 1 course. No knowledge of SQL is necessary.
Note: Only those currently affiliated with the University of California may attend this workshop.
To sign up, please click here: https://www.surveygizmo.com/s3/4543590/Onsite-Workshops-University-of-California-Los-Angeles
Introduction to R, Tuesday, October 23, from 9 a.m. to 12 noon in CLICC Classroom C (third floor of the Powell Library building)
Description: R is statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. The notes for the workshop can be found at https://stats.idre.ucla.edu/r/seminars/intro/ .
Note: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person. Intro to R sign up
Introduction to SPSS, Tuesday, October 30, from 9 a.m. to 12 noon in CLICC Classroom C (third floor of the Powell Library building)
Description: SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or a reference manual. The notes for the workshop can be found at https://stats.idre.ucla.edu/spss/seminars/notes/ .
Note: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person. Intro to SPSS sign up
Past Classes and Workshops Available Online
- Introduction to Stata 15
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 14
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Programming in Stata
- Introduction to SAS 9.4
- Programming Basics in SAS 9.4
- Analyzing and Visualizing Interactions in SAS 9.4
- Regression with SAS
- Logistic Regression in SAS
- Repeated Measures Analysis in SAS
- Applied Survey Data Analysis using SAS 9.4
- Multiple Imputation in SAS 9.4
- Survival Analysis Using SAS
- Using Arrays in SAS
- Introduction to SAS Macro Language
- Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS
- A Practical Introduction to Factor Analysis
- Introduction to SPSS (point-and-click and syntax)
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Regression with SPSS
- Introduction to Regression with SPSS (Version 23)
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS
Mplus and Latent Variable Analysis
- Introduction to R
- Short Introduction to R
- Introduction to ggplot2
- R Data Management
- Repeated Measures Analysis in R
Longitudinal Data Analysis
- Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett
- Analyzing Longitudinal Data using Multilevel Modeling
Power Analysis
- Deciphering Interactions in Logistic Regression
- Regression Models with Count Data
- Statistical Writing
Other