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.
No public sessions are currently scheduled. We will be pleased to set up an on-site course or to schedule an extra public session (in case of a sufficient number of candidates). Interested? Please let us know.
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 softwares such as Python, R and SAS.
No previous knowledge of statistics is required. Familiarity with basic algebra is however necessary.
- Visualizing data
scatter plot, bar chart, histogram, box plot
- Data characteristics
mean, median, quartiles, mode, outliers
variance, standard deviation
probability of disjoint/non-disjoint events
conditional probability and Bayes' Rule
- Distributions of random variables
normal distribution: z-score, probability table
standard error of the mean
t-distribution (one-sample means, paired data, difference of 2 means)
comparing many means with ANOVA
- Linear regression
regression of standard scores
Classroom training with practical exercises.
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