5.00 credits
15.0 h + 10.0 h
Q1
Teacher(s)
Bugli Céline;
Language
French
Main themes
- Introduction to the SAS system and to SAS/Base programming. - Creation and manipulation of datasets with SAS: importing and exporting datasets, format definition, table merging, variable manipulation, creation and transformation. - Preparation of summary tables, preparation of reports in different formats (txt, html...) - Presentation of the " SAS base programming " certificate.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 |
At the end of this course, the student will master the programming in SAS/Base and will be able to apply its skills on big and complicated data sets. |
Content
SAS Programming 1: Essentials
- Use SAS Studio and SAS Enterprise Guide to write and submit SAS programs.
- Access SAS, Microsoft Excel, and text data.
- Explore and validate data.
- Prepare data by subsetting rows and computing new columns.
- Analyze and report on data.
- Export data and results to Excel, PDF, and other formats.
- Use SQL in SAS to query and join tables.
- understand and control DATA step processing
- create an accumulating column and process data in groups
- manipulate data with functions
- convert column type
- create custom formats
- concatenate and merge tables
- process repetitive code
- restructure tables.
Teaching methods
In addition to the lectures and computer room exercises, much of the training is done autonomously using the syllabus, SAS documentation, and e-learning tools provided by SAS.
The lectures will be given in co-modal (simultaneous transmission of the course given in auditorium on Teams) and the practical work will be given in face-to-face only.
The modalities foreseen will evolve according to the health situation.
The lectures will be given in co-modal (simultaneous transmission of the course given in auditorium on Teams) and the practical work will be given in face-to-face only.
The modalities foreseen will evolve according to the health situation.
Evaluation methods
The examination of this course consists of passing the SAS Base Programming Certification (QCM and programming, in english, in computer lab).
Other information
A large part of the training is carried out autonomously using materials available on the SAS website (SCYP program). This course is only open to students enrolled and with a good command of passive English.
Online resources
https://moodleucl.uclouvain.be/course/view.php?id=8018
This course is open to all students from Belgian universities after enrolment in the academic programme (Master's or Doctoral students). However, as the number of places is limited, enrolment for students other than those in the Master's degree in statistics, general orientation or biostatistics ou a Master's degree in data sciences can only be made with the agreement of the course holder. This course is also available to students of the UCLouvain University Certificate in Statistics under certain conditions.
The course content is only available after official registration.
This course is open to all students from Belgian universities after enrolment in the academic programme (Master's or Doctoral students). However, as the number of places is limited, enrolment for students other than those in the Master's degree in statistics, general orientation or biostatistics ou a Master's degree in data sciences can only be made with the agreement of the course holder. This course is also available to students of the UCLouvain University Certificate in Statistics under certain conditions.
The course content is only available after official registration.
Bibliography
Syllabus du cours en vente au début du cours.
Accès à la documentation SAS.
Accès à la documentation SAS.
Teaching materials
- Syllabus du cours en vente au début du cours. Accès à la documentation SAS.
Faculty or entity
LSBA
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Statistics: General
Master [120] in Population and Development Studies
Master [120] in Statistics: Biostatistics
Master [120] in Biomedical Engineering
Master [120] in Actuarial Science
Approfondissement en statistique et sciences des données
Advanced Master in Quantitative Methods in the Social Sciences
Certificat d'université : Statistique et sciences des données (15/30 crédits)
Master [120] in Biochemistry and Molecular and Cell Biology
Master [120] in Mathematical Engineering
Master [120] in Data Science : Statistic