Statistical Thinking And Data Analysis

Description

This course aims to cultivate a deep understanding of statistical concepts and their practical application in solving real-life scenarios. The curriculum is structured to foster interactive learning and develop critical thinking skills necessary for data analysis. The course is divided into three main parts:

1. Recap of Probability Knowledge:

• Application of probability concepts to real-life scenarios.

• Bayes' theorem, discrete and continuous space, probability density function, cumulative density function, expected value, variance, joint distribution, marginal distribution, covariance, correlation, and various types of distributions.

2. R for Data Analysis: Introduction to the R programming language:

• Writing of R programs for the analysis of datasets, helped by visualization of results. Exploration ofimportant R libraries for graphical representation and table manipulation

3. Strategic Planning: Integration of statistical thinking in strategic decision-making:

• Application of statistical tools to analyze complex datasets and inform strategic planning initiatives.

• Simulation real-world scenarios and devise data-driven strategies.

Compétences requises

• Basic understanding of mathematics and probability concepts.

• Familiarity with programming fundamentals.

Compétences visées

• Proficiency in statistical thinking and its application in solving real-life problems.

• Competence in using the R programming language for data analysis.

• Ability to formulate data-driven strategies based on statistical insights.

Discipline(s)

• Informatique

Bibliographie

• An Introduction to Statistical Learning: with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani.

• R for Data Science by Hadley Wickham and Garrett Grolemund.

• Statistical Thinking for Non-Statisticians in Drug Regulation by Richard Kay.

• Probability and Statistics for Computer Scientists by Michael Baron.

• Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan by John K. Kruschke.

Contact