课程信息
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第 1 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为22 小时

建议:5 weeks of study, 5-7 hours/week...

英语(English)

字幕:英语(English), 韩语

您将获得的技能

StatisticsR ProgrammingRstudioExploratory Data Analysis

第 1 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为22 小时

建议:5 weeks of study, 5-7 hours/week...

英语(English)

字幕:英语(English), 韩语

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 12 分钟

About Introduction to Probability and Data

1 个视频 (总计 2 分钟), 1 个阅读材料
1 个视频
1 个阅读材料
More about Introduction to Probability and Data10分钟
完成时间为 1 小时

Introduction to Data

6 个视频 (总计 28 分钟), 2 个阅读材料, 2 个测验
6 个视频
Sampling and sources of bias8分钟
Experimental Design2分钟
(Spotlight) Random Sample Assignment3分钟
2 个阅读材料
Lesson Learning Objectives10分钟
Suggested Readings and Practice10分钟
2 个练习
Week 1 Practice Quiz10分钟
Week 1 Quiz14分钟
完成时间为 1 小时

Introduction to Data Project

2 个阅读材料, 1 个测验
2 个阅读材料
About Lab Choices (Read Before Selection)10分钟
Week 1 Lab Instructions (RStudio)10分钟
1 个练习
Week 1 Lab: Introduction to R and RStudio16分钟
2
完成时间为 2 小时

Exploratory Data Analysis and Introduction to Inference

7 个视频 (总计 46 分钟), 3 个阅读材料, 2 个测验
7 个视频
Robust Statistics1分钟
Transforming Data3分钟
Exploring Categorical Variables8分钟
Introduction to Inference12分钟
3 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Suggested Readings and Practice10分钟
2 个练习
Week 2 Practice Quiz10分钟
Week 2 Quiz12分钟
完成时间为 1 小时

Exploratory Data Analysis and Introduction to Inference Project

2 个阅读材料, 1 个测验
2 个阅读材料
Week 2 Lab Instructions (RStudio)10分钟
Week 2 Lab Instructions (RStudio Cloud)10分钟
1 个练习
Week 2 Lab: Introduction to Data20分钟
3
完成时间为 2 小时

Introduction to Probability

9 个视频 (总计 82 分钟), 3 个阅读材料, 2 个测验
9 个视频
Probability Examples9分钟
(Spotlight) Disjoint vs. Independent2分钟
Conditional Probability12分钟
Probability Trees10分钟
Bayesian Inference14分钟
Examples of Bayesian Inference7分钟
3 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Suggested Readings and Practice10分钟
2 个练习
Week 3 Practice Quiz6分钟
Week 3 Quiz10分钟
完成时间为 1 小时

Introduction to Probability Project

2 个阅读材料, 1 个测验
2 个阅读材料
Week 3 Lab Instructions (RStudio)10分钟
Week 3 Lab Instructions (RStudio Cloud)10分钟
1 个练习
Week 3 Lab: Probability10分钟
4
完成时间为 2 小时

Probability Distributions

6 个视频 (总计 67 分钟), 4 个阅读材料, 2 个测验
6 个视频
Binomial Distribution17分钟
Normal Approximation to Binomial14分钟
Working with the Binomial Distribution9分钟
4 个阅读材料
Lesson Learning Objectives10分钟
Lesson Learning Objectives10分钟
Suggested Readings and Practice10分钟
Data Analysis Project Example10分钟
2 个练习
Week 4 Practice Quiz14分钟
Week 4 Quiz14分钟
4.7
702 个审阅Chevron Right

33%

完成这些课程后已开始新的职业生涯

30%

通过此课程获得实实在在的工作福利

11%

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来自Introduction to Probability and Data的热门评论

创建者 AAJan 24th 2018

This course literally taught me a lot, the concepts were beautifully explained but the way it was delivered and overall exercises and the difficulty of problems made it more challenging and enjoying.

创建者 HDMar 31st 2018

The tutor makes it really simple. The given examples really helped to understand the concepts and apply it to a wide range of problems. Thank you for this. Wish I could complete the assignments too.

讲师

Avatar

Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

关于 杜克大学

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....

About the Statistics with R 专项课程

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions....
Statistics with R

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