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    Statistics for research and data analysis 2019-2020

    Friday, 27 September, 2019 - 10:00 to Friday, 13 December, 2019 - 13:00
    Campus: Brussels Humanities, Sciences & Engineering Campus
    building B

    Statistics for research and data analysis

    This course is designed to help young researches to conduct statistical analysis of their research data and for those who require to gain basic statistical knowledge and techniques for research purposes.

    Why do you need this course?
    1) Knowledge in statistics provides with necessary tools and conceptual fundations in order to extract the right information from your data;
    2) Statistical methods are often used to communicate the research finding and give the credibility to research methodology and conclusions;
    3) It is important for researches and customers to understand statistics so that they can evaluate usefulness of information and make appropriate decisions.

    When: 27/09/2019-13/12/2019

    Structure and organization
    10 sessions: Friday (either 10am-13am or 11am-14am, to be confirmed)
    1.5 hours of theory +1.5 hours of practical exercises using SPSS

    Chapter 1: We will see basic descriptive statistic and data collection methods
    Chapter 2: We will learn probability concepts, probability and sampling distributions
    Chapter 3: We will study in detail how to gather and to explore data
    Chapter 4: This part of the course will be devoted to studying association, correlation and linear dependence
    Chapter 5: We will explore linear regression and Analysis of Variance (Anova) models
    Chapter 6: Beyond normal: logistic regression

    Prerequisites: It is strongly recommended that participants have a basic knowledge of linear algebra (matrix computations) and mathematical analysis (integral and differential calculus).

    The participant
    -will learn how to gather, process and explore the research data;
    -will be able to analyze and report statistical findings based on data;
    -will learn several statistical techniques and models used in the inferential statistics.

    Written project relying on either data from doctoral project or data from this course

    Credits: 6 ECTS



    • Campus Etterbeek
    • Room:  B004
    • Credits: you can obtain 6 credits if your final evaluation is successful.
    • Evaluation: Written project relying on either data from doctoral project or data from this course
    • Registration is compulsory, use this form (the signature of the lecturer is not necessary in this case, but we do need the signature of your supervisor)
    • Send the form to doctoral.schools@vub.ac.be
    • Students who aren't a student at the VUB have to register as a 'guest student' more information here


    27/09: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    04/10: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    11/10: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    25/10: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    08/11: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    15/11: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    22/11: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    29/11: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    06/12: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]

    13/12: B.004 [10:00-13:00 or 11:00-14:00, t.b.c.]