Introduction to Statistcs I : R-Workshop

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Business Informatics
    Code UE-EIG.01007
    Languages
    Type of lesson Lecture
    Level Bachelor
    Semester AS-2026

    Title

    French Introduction à la Statistique I : Atelier R
    German Einführung in die Statistik I: R-Workshop
    English Introduction to Statistcs I : R-Workshop

    Schedules and rooms

    Summary schedule This course is given in block format. Please consult the exact dates under the "Dates and Rooms" tab.

    Teaching

    Teachers
    • Leuenberger Christoph
    Description

    This workshop comprises a tutorial and a quiz, both available on a Moodle page. Both the tutorial and the quiz can be completed entirely online from home. During the spring term, we are offering four sessions in the computer room for those experiencing difficulties with installing the statistics software.

    Successful completion of the workshop during the registration period is required for the mark for the corresponding statistics course to be awarded. The deadline is set for the day before the exam for the corresponding statistics course.
    The first part of the R workshop introduces students to the basics of working with the R programming language and the RStudio development environment. Students learn about the structure of the user interface and understand how data is organised and processed in R. They are also shown how to import and modify datasets, for example by importing external files and carrying out simple data manipulations.

    Another focus is on descriptive statistics. Students learn how to calculate central measures such as the mean, median and standard deviation, as well as frequencies, and how to present the results using simple graphs. The aim of the workshop is to provide a solid introduction to working with R.

    Training objectives

    Students acquire a basic understanding of how to use R and RStudio. They understand the structure of the user interface and can run simple scripts.
    They are able to import datasets, carry out simple data manipulation and perform basic statistical analyses. They can also apply basic methods of descriptive statistics and present the results in the form of simple graphs.
    By the end of the workshop, they will be able to analyse simple datasets using R and correctly interpret the main statistical results.

    Softskills No
    Available online No
    Off field No
    BeNeFri No
    Mobility No
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    30.09.2026 14:15 - 15:00 Cours PER 21, Room F230
    07.10.2026 14:15 - 15:00 Cours PER 21, Room F230
    14.10.2026 14:15 - 15:00 Cours PER 21, Room F230
    04.11.2026 14:15 - 15:00 Cours PER 21, Room F230
  • Assessments methods

    Continuous evaluation

    Assessments methods By success/failure
    Descriptions of Exams

    The workshop comprises a tutorial and a Moodle quiz. The criteria for passing the quiz are set out in detail on Moodle. The workshops are not graded, but are assessed simply as ‘pass’ or ‘fail’. The quizzes can be retaken as many times as required. (The questions are selected at random.) The workshop can be completed entirely online from home.

    Successful completion of the workshop during the enrolment period is required for the mark for the corresponding statistics course to be validated. The deadline is set for the day before the exam for the corresponding statistics course.
     

  • Assignment
    Valid for the following curricula:
    Ba - Communication Studies - 90 ECTS
    Version: 2023-SA_V03
    1st year - 36 ECTS > Statistique I - R/ Statistik I - R > Workshop

    Ba - Communication and Media Research - 120 ECTS
    Version: 2026-SA_V01
    1st year - 42 ECTS > Statistique I - R/ Statistik I - R > Workshop

    BcBa - Media and communication studies - 60 ECTS
    Version: 2021-SA_V03
    Elective courses - minimum 18 ECTS > Statistique I - R/ Statistik I - R > Workshop

    Complementary learnings in SES or mobility students
    Version: ens_compl_ses
    Workshops for statistics courses

    MiBa -Mass Media and Communication Research - 30 ECTS
    Version: 2021-SA_V02
    4 elective lectures - 12 ECTS > Statistique I - R/ Statistik I - R > Workshop