Welcome to Modern Statistical Computing and Regression Modeling in R. In this course, you will become familiar with computer applications for working with data, including Excel, R, Tableau, and Jupyter Notebooks; and will learn concepts and applications of Monte Carlo methods and regression analysis.
Modern Statistical Computing and Regression Modeling in R
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您将学到什么
Learners will understand computer applications for working with data, and concepts & applications of using R for regression analysis.
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最近已更新！
January 2026
作业
5 项作业
授课语言：英语（English）
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该课程共有4个模块
This Specialization covers the use of statistical methods in today's business, industrial, and social environments, including several new methods and applications. H.G. Wells foresaw an era when the understanding of basic statistics would be as important for citizenship as the ability to read and write. Modern Statistics for Data-Driven Decision-Making teaches the basics of working with and interpreting data, skills necessary to succeed in Wells’s “new great complex world” that we now inhabit. In this course, learners will develop facility for using software applications for data storage, analysis, and presentation; and will be able to employ Monte Carlo simulations and regression models in working with data. Learn more about the instructors who developed this course. Read the instructor bios and review the learning outcomes for the course.
涵盖的内容
9个视频9篇阅读材料1个作业
In this module, we will explore pseudo random number generators, learn about seeds and use a seed to generate reproducible results. We will use R’s d, p, q, and r functions to measure and generate random variates. We will conduct a Monte Carlo simulation of an experiment and analyze results from the hypothesis tests executed in R using simulated data.
涵盖的内容
11个视频2篇阅读材料1个作业
In this module, we re-visit the ordinary linear regression model. We also use R to fit a regression model and display and interpret model-fit statistics and coefficient summaries and tests.
涵盖的内容
21个视频4篇阅读材料1个作业
In this module, you will use data sets to review and calculate linear and nonlinear models. Be sure to view videos for this module, complete the readings, and any assignments. Begin by reviewing the learning objectives before beginning work in this module.
涵盖的内容
5个视频1篇阅读材料2个作业1次同伴评审
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状态：免费试用University of Colorado Boulder
状态：免费试用University of Colorado Boulder
状态：预览O.P. Jindal Global University
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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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