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Course: Practical Data Analysis

Prof. Jacques Savoy & Ljiljiana Dolamic
University of Neuchatel
Computer Science Department

Main objective

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

  • to find (to see) relationships between variables
  • to detect outliers
  • to know how to present statistics with an appropriate presentation / interpretation of the results.

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.

Description

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.

References

    Other references

Additional information

To get a free version of R

  • The official R web site
  • The CRAN (Comprehensive R Archive Network) web site


Prof. Jacques Savoy
Université de Neuchâtel
Institut d'informatique
Rue Emile-Argand 11
CH-2009 Neuchâtel
Switzerland


+41 32 718 1375 (phone)
+41 32 718 2701 (fax)