The objective of this course is to introduce Computational Statistics to aspiring or new data scientists. The attendees will start off by learning the basics of probability, Bayesian modeling and inference. This will be the first course in a specialization of three courses .Python and Jupyter notebooks will be used throughout this course to illustrate and perform Bayesian modeling. The course website is located at https://sjster.github.io/introduction_to_computational_statistics/docs/index.html. The course notebooks can be downloaded from this website by following the instructions on page https://sjster.github.io/introduction_to_computational_statistics/docs/getting_started.html.
本课程是 Introduction to Computational Statistics for Data Scientists 专项课程 专项课程的一部分
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课程信息
Some experience with Data Science using the PyData Stack of NumPy, SciPy, Pandas, Scikit-learn.
Knowledge of Jupyter Notebooks will be beneficial.
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体验 Coursera 企业版您将学到的内容有
The basics of Probability, Bayesian statistics, modeling and inference.
You will also get a hands-on introduction to using Python for computational statistics using Scikit-learn, SciPy and Numpy.
您将获得的技能
- Bayesian Inference
- visualization
- Python Programming
- Scipy
- Statistics
Some experience with Data Science using the PyData Stack of NumPy, SciPy, Pandas, Scikit-learn.
Knowledge of Jupyter Notebooks will be beneficial.
对员工进行热门技能培训能否为您的公司带来益处?
体验 Coursera 企业版提供方
授课大纲 - 您将从这门课程中学到什么
Environment Setup
Introduction to the Fundamentals of Probability
A Hands-On Introduction to Common Distributions
Sampling Algorithms
审阅
- 5 stars36.66%
- 4 stars13.33%
- 3 stars26.66%
- 2 stars10%
- 1 star13.33%
来自INTRODUCTION TO BAYESIAN STATISTICS的热门评论
Content/notes wise this course is great, But teaching style needs to be improved. Rather than reading the notes instructor should teach by giving examples and driving some of the results.
This course would be a bit hard for "complete" beginners, but would be enough for people who wish to refresh knowledge about Bayesian inference and stuff. The notes and codes are very good!!
关于 Introduction to Computational Statistics for Data Scientists 专项课程

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