Statistical Thinking for Data Science and Analytics

开始时间: 04/22/2022 持续时间: 5 weeks

所在平台: EdxArchive 课程类别: 其他类别 大学或机构: ColumbiaX 授课老师： Lauren Hannah Tian Zheng James Curley David Madigan Andrew Gelman Eva Ascarza

课程主页: https://www.edx.org/archive/statistical-thinking-data-science-columbiax-ds101x

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课程详情

This statistics and data analysis course will pave the statistical foundation for our discussion on data science.

You will learn how data scientists exercise statistical thinking in designing data collection, derive insights from visualizing data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from data.

This is the first course in the three-part Data Science and Analytics XSeries.

课程大纲

• Data collection, analysis and inference
• Relationship between variables
• Types of association
• Conditional probability
• Bayes’ Rule
• Goals of data visualization
• Statistical comparisons that underlie data graphics
• How Bayesian inference is used to combine sources of information
• Identify situations where Bayesian modeling can be useful

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