Statistics: Making Sense of Data

МООК
en
Английский
282 h
This content is rated 0 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Бесплатный сертификат
More info
  • 47 Sequences
  • Introductive Level

Their employees are learning daily with Edflex

  • Safran
  • Air France
  • TotalEnergies
  • Generali
Learn more

Course details

Syllabus

A first look at data
Weeks 1-2: Summary statistics and graphical displays for a single categorical or quantitative variable and for relationships between two variables.

Collecting data
Week 2:  Sampling.  Observational studies and experiments.  The effect of confounding and concluding causation.

Probability
Week 3:  Probability models, the normal distribution, the Law of Large Numbers, the Central Limit Theorem, sampling distributions.

Confidence Intervals 
Week 4: Confidence intervals and sample size estimation for proportions and means.

Tests of significance 
Week 5: Tests of significance, power and sample size estimation for proportions and means

Two samples
Week 6: Tests of significance and confidence intervals for proportions and means in the two sample case.

Simple linear regression
Week 7: Method of least squares, evaluating model fit, the effects of outliers and influential observations.

The process of statistical inquiry
Week 8: Capstone case study.

Prerequisite

None.

Instructors

  • Alison Gibbs - Department of Statistical Sciences
  • Jeffrey Rosenthal - Department of Statistical Sciences

Editor

Established in 1827, the University of Toronto has one of the strongest research and teaching faculties in North America, presenting top students at all levels with an intellectual environment unmatched in depth and breadth on any other Canadian campus.

Platform

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

This content is rated 4.5 out of 5
(no review)
This content is rated 4.5 out of 5
(no review)
Complete this resource to write a review