Les infos clés
En résumé
This course introduces you to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.
Le programme
- Part 1 – Designing studies
- Part 2 – Exploratory data analysis
- Part 3 – Introduction to inference via simulation
- Part 1 – Defining probability
- Part 2 – Conditional probability
- Part 3 – Normal distribution
- Part 4 – Binomial distribution
- Part 1 – Variability in estimates and the Central Limit Theorem
- Part 2 – Confidence intervals
- Part 3 – Hypothesis tests
- Part 4 – Inference for other estimators
- Part 5 - Decision errors, significance, and confidence
- Part 1 – t-inference
- Part 2 – Power
- Part 3 – Comparing three or more means (ANOVA)
- Part 4 – Simulation based inference for means
- Part 1 – Single proportion
- Part 2 – Comparing two proportions
- Part 3 – Inference for proportions via simulation
- Part 4 – Comparing three or more proportions (Chi-square)
- Part 1 – Relationship between two numerical variables
- Part 2 – Linear regression with a single predictor
- Part 3 – Outliers in linear regression
- Part 4 – Inference for linear regression
- Part 1 – Regression with multiple predictors
- Part 2 – Inference for multiple linear regression
- Part 3 – Model selection
- Part 4 – Model diagnostics
- Bayesian vs. frequentist inference
Les intervenants
- Mine Çetinkaya-Rundel - Department of Statistical Science
Le concepteur
La plateforme
Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.
Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.
Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills
Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills
