At the end of this learning unit, the student is able to :
At the end of this course, the students will have gain a critical view of the different classes of statistical software available on the market and basic culture on statistical algorithms and graphics. They will also be able to realise basic statistical analysis with different software (SAS, R, Excel, SPSS, JMP) and write programs in the R and SAS programming languages.
Exercises: SAS and R programming exercises. Case studies with SPSS or JMP software.
Due to the COVID-19 crisis, the information in this section is particularly likely to change.The course consists of lectures with demonstrations of statistical software and software use exercises sessions designed to give the student maximum autonomy: each student works at his own pace on the basis of evolving documents.
The modalities foreseen will evolve according to the health situation.
Due to the COVID-19 crisis, the information in this section is particularly likely to change.Two MANDATORY programming jobs in SAS and R.
Computer-based examination (if the sanitary situation allows it). Solving basic statistical case studies with SAS Enterprise Guide and SPSS (or JMP) software, SAS programming and R.
Please note that the required work must be carried out during the first quarter of the year according to a schedule that will be communicated to you at the beginning of the course. In the event of failure to submit a work, the student will have 0 on his first pass of the exam. However, with the teacher's permission, he or she may be able to take an additional question to catch up on his or her score from the second time he or she passes the exam. His request to re-score the work should be made BEFORE the start of the examination session and will only be considered if the work has not been returned or is missed (less than 50%).
Students enrolled in both parts of the course must pass both parts to pass the course. If the score of one of the 2 parties is less than 50%, this score will be used as the total score for the course.
The points awarded to projects depend on your success in the programming questions during the exam:
Project score on 1.25 if your project score > 2*scores programming questions of the exam
Project score on 2.5 if your project score ≤ 2*scores programming questions of the exam