Statistics is about extracting meaning from data. We will focus on the fundamentals of statistics, which may be broadly described as the techniques to collect, clarify, summarize, organize, analyze, and interpret numerical information.

This course will cover

• visualization,
• probability,
• estimation,
• hypothesis testing,
• regression

and other topics that will help you learn the basic methods of understanding data with statistics.

• Visualizing data
  • scatter plot, bar chart, histogram, box plot
• Data characteristics
  • mean, median, quartiles, mode, outliers
  • variance, standard deviation
  • standard score
• Probability
  • probability of disjoint/non-disjoint events
  • conditional probability and Bayes' Rule
• Distributions of random variables
  • normal distribution: z-score, probability table
  • Bernoulli distribution
  • binomial distribution
  • Inference
• point estimates
  • standard error of the mean
  • confidence intervals
  • hypothesis testing
  • t-distribution (one-sample means, paired data, difference of 2 means)
  • comparing many means with ANOVA
• Linear regression
  • correlation, covariance
  • regression of standard scores

Classroom training with practical exercises.

Delivered as a live, interactive training – available in-person or online, or in a hybrid format. Training can be implemented in English, Dutch, or French.

No previous knowledge of statistics is required. Familiarity with basic algebra is however necessary.

All who want to learn the fundamentals of statistics. Also participants who already got a basic statistics course in the past but who want a refresh. The course is especially useful for students who want to use statistical tools in software such as Python, R and SAS.