Statistical Modeling for Data Science Applications

开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 9 hours/week

所在平台: Coursera专项课程

课程主页: https://www.coursera.org/specializations/statistical-modeling-for-data-science-applications

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课程详情

What you will learn
Correctly analyze and apply tools of regression analysis to model relationship between variables and make predictions given a set of input variables.
Successfully conduct experiments based on best practices in experimental design.
Use advanced statistical modeling techniques, such as generalized linear and additive models, to model wide range of real-world relationships.
Skills you will gain
Linear Model
R Programming
Statistical Model
regression
Calculus
and probability theory.
Linear Algebra
About this Specialization
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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. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash
Applied Learning Project
Learners will master the application and implementation of statistical models through auto-graded and peer reviewed Jupyter Notebook assignments. In these assignments, learners will use real-world data and advanced statistical modeling techniques to answer important scientific and business questions.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Calculus, linear algebra, and probability theory.
Hours to complete
Approximately 4 months to complete
Suggested pace of 9 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Calculus, linear algebra, and probability theory.
Hours to complete
Approximately 4 months to complete
Suggested pace of 9 hours/week
Available languages
English
Subtitles: English

课程大纲

Course Link: https://www.coursera.org/learn/modern-regression-analysis-in-r

Name:Modern Regression Analysis in R

Description:Offered by University of Colorado Boulder. This course will provide a set of foundational statistical modeling tools for data science. In ... Enroll for free.

Course Link: https://www.coursera.org/learn/anova-and-experimental-design

Name:ANOVA and Experimental Design

Description:Offered by University of Colorado Boulder. This second course in statistical modeling will introduce students to the study of the analysis ... Enroll for free.

Course Link: https://www.coursera.org/learn/generalized-linear-models-and-nonparametric-regression

Name:Generalized Linear Models and Nonparametric Regression

Description:Offered by University of Colorado Boulder. In the final course of the statistical modeling for data science program, learners will study a ... Enroll for free.

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