list 10 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais

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## Les infos clés

credit_card Formation gratuite
verified_user Certification gratuite
timer 80 heures de cours

## 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.

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## Le programme

Week 1: Unit 1 - Introduction to data
• Part 1 – Designing studies
• Part 2 – Exploratory data analysis
• Part 3 – Introduction to inference via simulation
Week 2: Unit 2 - Probability and distributions
• Part 1 – Defining probability
• Part 2 – Conditional probability
• Part 3 – Normal distribution
• Part 4 – Binomial distribution
Week 3: Unit 3 - Foundations for inference
• Part 1 – Variability in estimates and the Central Limit Theorem
• Part 2 – Confidence intervals
• Part 3 – Hypothesis tests
Week 4: Finish up Unit 3 + Midterm
• Part 4 – Inference for other estimators
• Part 5 - Decision errors, significance, and confidence
Week 5: Unit 4 - Inference for numerical variables
• Part 1 – t-inference
• Part 2 – Power
• Part 3 – Comparing three or more means (ANOVA)
• Part 4 – Simulation based inference for means
Week 6: Unit 5 - Inference for categorical variables
• 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)
Week 7: Unit 6 - Introduction to linear regression
• 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
Week 8: Unit 7 - Multiple linear regression
• Part 1 – Regression with multiple predictors
• Part 2 – Inference for multiple linear regression
• Part 3 – Model selection
• Part 4 – Model diagnostics
Week 9: Review / catch-up week
• Bayesian vs. frequentist inference
Week 10: Final exam
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## Les intervenants

• Mine Çetinkaya-Rundel - Department of Statistical Science
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## Le concepteur

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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## 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.

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Le meilleur avis

Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills

le 16 septembre 2020
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Contenu
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le 16 septembre 2020
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Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills