link
来源：www.coursera.org
list
10个序列
assignment
等级：入门
label
数据分析
chat_bubble_outline
语言：英语
card_giftcard
640分
评论
关键信息
credit_card
免费进入
verified_user
收费证书
timer
80小时总数
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.
more_horiz
查看更多
more_horiz
收起
dns
课程大纲
Week 1: Unit 1 - Introduction to data
- 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
record_voice_over
教师
- Mine Çetinkaya-Rundel - Department of Statistical Science
store
内容设计师
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.
assistant
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。
评论
4.1
/5
平均值
starstarstarstarstar
1
starstarstarstarstar
1
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
内容
4.8/5
平台
2.8/5
动画
4.8/5
最佳评论
Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills
您是 MOOC 的设计者？
keyboard_arrow_left
grade
keyboard_arrow_right
整合评论系统
1条评论
0个积分
1条评论
0个积分
Am truely impress with content, Platform and animation this site provides to learners. Looking forward to enrich my data analysis skills
