This course will provide a set of foundational statistical modeling tools for data science. In particular, students will be introduced to methods, theory, and applications of linear statistical models, covering the topics of parameter estimation, residual diagnostics, goodness of fit, and various strategies for variable selection and model comparison. Attention will also be given to the misuse of statistical models and ethical implications of such misuse.
課程信息
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 3 門）
中級
Calculus, linear algebra, and probability theory.
完成時間大約為45 小時
英語（English）
字幕：英語（English）
您將獲得的技能
- Linear Model
- R Programming
- Statistical Model
- regression
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 3 門）
中級
Calculus, linear algebra, and probability theory.
完成時間大約為45 小時
英語（English）
字幕：英語（English）
提供方
科罗拉多大学波德分校
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
立即開始攻讀碩士學位
此 課程 隸屬於 科罗拉多大学波德分校 提供的 100% 在線 Master of Science in Data Science。
如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
授課大綱 - 您將從這門課程中學到什麼
完成時間為 8 小時
Introduction to Statistical Models
In this module, we will introduce the basic conceptual framework for statistical modeling in general, and for linear regression models in particular.
完成時間為 8 小時
8 個視頻 （總計 82 分鐘）
完成時間為 8 小時
Linear Regression Parameter Estimation
In this module, we will learn how to fit linear regression models with least squares. We will also study the properties of least squares, and describe some goodness of fit metrics for linear regression models.
完成時間為 8 小時
9 個視頻 （總計 134 分鐘）
完成時間為 9 小時
Inference in Linear Regression
In this module, we will study the uses of linear regression modeling for justifying inferences from samples to populations.
完成時間為 9 小時
8 個視頻 （總計 121 分鐘）, 1 個閱讀材料, 5 個測驗
完成時間為 6 小時
Prediction and Explanation in Linear Regression Analysis
In this module, we will identify how models can predict future values, as well as construct interval estimates for those values. We will also explore the relationship between statistical modelling and causal explanations.
完成時間為 6 小時
6 個視頻 （總計 82 分鐘）
關於 Statistical Modeling for Data Science Applications 專項課程
Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models. Emphasis will be placed on analyzing real data using the R programming language.
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