關於此 專項課程

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Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression. This specialization starts with Mathematical Statistics bootcamps, specifically concepts and methods used in biostatistics applications. These range from probability, distribution, and likelihood concepts to hypothesis testing and case-control sampling. This specialization also linear models for data science, starting from understanding least squares from a linear algebraic and mathematical perspective, to statistical linear models, including multivariate regression using the R programming language. These courses will give learners a firm foundation in the linear algebraic treatment of regression modeling, which will greatly augment applied data scientists' general understanding of regression models. This specialization requires a fair amount of mathematical sophistication. Basic calculus and linear algebra are required to engage in the content.
學生職業成果
20%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
高級
完成時間大約為5 個月
建議 2 小時/週
英語(English)
學生職業成果
20%
加薪或升職。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
高級
完成時間大約為5 個月
建議 2 小時/週
英語(English)

此專項課程包含 4 門課程

課程1

課程 1

数学生物统计学入门 1

4.5
313 個評分
67 條評論
課程2

課程 2

数学生物统计学入门 2

4.4
77 個評分
16 條評論
課程3

課程 3

Advanced Linear Models for Data Science 1: Least Squares

4.5
140 個評分
36 條評論
課程4

課程 4

Advanced Linear Models for Data Science 2: Statistical Linear Models

4.6
62 個評分
11 條評論

提供方

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约翰霍普金斯大学

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