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Course: Practical Data Analysis
The main objective of this course is to introduce the students to the various graphical and numerical tools and techniques that can be used to
Or in other words, this course will introduce the R (or S) language that "forever altered how people analyze, visualize, and manipulate data" J. Chambers
Practical exercises will complete the theoretical presentation.
Introduction to R; Descriptive Statistics (tables, graphs, numerical measures); Normal Law and related topics (Binomial distribution, Student's t distribution); Analysis of data assessment (Q-Q plot, goodness-of-fit); Estimation and confident intervals; Statistical tests (means, ANOVA); Linear Regression (simple and multiple); Principal component analysis.
The final mark is based on both a final written exam and the results of the practical exercices.
To get a free version of R