This statistics and data analysis course allows you to discover and master the basics of statistics and data analysis. If you need to understand basic statistical analysis and interpret the results, this course is for you.

Day 1:

Morning:
Introduction to statistics and data analysis
Basic principles: sampling, population vs. sample…
Data preparation (transformation, treatment of missing data, filtering…)
Case of a survey processing
Afternoon :
Descriptive statistics to describe your data (mean, variance, median, mode…)
Confidence intervals and statistical tests
Comparison of means tests
Parametric and non-parametric tests
Practical cases: applications on real data

Day 2:

Morning :
Principles of multivariate data analysis
Principal component analysis
Other factorial analysis methods (CFA, MCA, discriminant analysis…)
Afternoon :
Presentation of clustering methods (unsupervised learning)
Hierarchical ascending classification
K-means

Day 3 :

Morning :
Principles of modeling
The linear model: regression, analysis of variance
Logistic regression
Afternoon
Towards machine learning and data mining
Principles and differences with classical statistics
Some examples: trees, drills…

Duration: 3 days

PRE-REQUISITES

BAC+2 in quantitative fields (Mathematics, Economics, Computer Science, etc.)

TARGET AUDIENCE

This training is mainly intended for executives who are not statisticians and/or are involved in work requiring statistical processing and analysis.

Cost: Contact us