关键信息
关于内容
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.
课程大纲
- 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
教师
- Mine Çetinkaya-Rundel - Department of Statistical Science
内容设计师
杜克大学是一所位于北卡罗来纳州达勒姆的北美私立研究型大学。该大学以杜克王朝的名字命名。
虽然该大学直到 1924 年才正式成立（其根源可追溯到 1838 年）。杜克大学经常被称为 "南方的哈佛"，是美国南方选拔最严格的大学。
该大学是美国大学协会的成员，自 1900 年以来，该协会一直将北美的精英研究型大学聚集在一起。
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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
