用Python实现数据科学中的概率统计

Probability and Statistics in Data Science using Python

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

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加州大学圣地亚哥分校
edX
  • 完成时间大约为 10
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

The mathematical foundations for machine learning

Statistics literacy: understand the meaning of statements such as "at a 99% confidence level"

课程概况

The job of a data scientist is to glean knowledge from complex and noisy datasets.

Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks.

Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.

预备知识

The previous coursein the MicroMasters program: DSE200x
Undergraduate level education in:
Multivariate calculus
Linear algebra

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