10最好的回归分析教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 回归分析 技能并获得 回归分析 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 回归分析 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的回归分析教程推荐

课程名 在校生（人数） 评论（计数）
1. Complete Linear Regression Analysis in Python 我们的最佳选择 150122+ 1281+
2. ML for Business Managers: Build Regression model in R Studio 69374+ 274+
3. Linear Regression and Logistic Regression in Python 52166+ 310+
4. Linear Regression and Logistic Regression using R Studio 49883+ 234+
5. Deep Learning Prerequisites: Linear Regression in Python 29579+ 5408+
6. Deep Learning Foundation : Linear Regression and Statistics 9195+ 1359+
7. Regression Analysis / Data Analytics in Regression 5240+ 958+
8. Machine Learning Regression Masterclass in Python 5237+ 571+
9. Regression Analysis for Statistics & Machine Learning in R 4278+ 529+
10. The STATA OMNIBUS: Regression and Modelling with STATA 2957+ 466+

1. Complete Linear Regression Analysis in Python 经过 Start-Tech Academy Udemy课程 我们的最佳选择

“Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also”

截至目前，超过 150122+ 人们已经注册了这门课程，而且已经结束了 1281+ 评论.

课程内容
Introduction
Setting up Python and Jupyter Notebook
Basics of Statistics
Introduction to Machine Learning
Data Preprocessing
Linear Regression
Congratulations & About your certificate

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2. ML for Business Managers: Build Regression model in R Studio 经过 Start-Tech Academy Udemy课程

Simple Regression & Multiple Regression| must-know for Machine Learning & Econometrics | Linear Regression in R studio

截至目前，超过 69374+ 人们已经注册了这门课程，而且已经结束了 274+ 评论.

课程内容
Introduction
Basics of Statistics
Getting started with R and R studio
Introduction to Machine Learning
Data Preprocessing
Linear Regression Model
Regression models other than OLS
Conclusion

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3. Linear Regression and Logistic Regression in Python 经过 Start-Tech Academy Udemy课程

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

截至目前，超过 52166+ 人们已经注册了这门课程，而且已经结束了 310+ 评论.

课程内容
Introduction
Setting up Python and Python Crash Course
Basics of Statistics
Data Preprocessing before building Linear Regression Model
Building the Linear Regression Model
Introduction to the classification Models
Building a Logistic Regression Model
Test-Train Split
Congratulations & about your certificate

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

4. Linear Regression and Logistic Regression using R Studio 经过 Start-Tech Academy Udemy课程

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification

截至目前，超过 49883+ 人们已经注册了这门课程，而且已经结束了 234+ 评论.

课程内容
Introduction
Basics of Statistics
Getting started with R and R studio
Data Preprocessing before building Linear Regression Model
Linear Regression Model
Introduction to the classification Models
Building a Logistic Regression Model
Test-Train Split
Congratulations & about your certificate

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

5. Deep Learning Prerequisites: Linear Regression in Python 经过 Lazy Programmer Inc. Udemy课程

“Data science, machine learning, and artificial intelligence in Python for students and professionals”

截至目前，超过 29579+ 人们已经注册了这门课程，而且已经结束了 5408+ 评论.

课程内容
Welcome
1-D Linear Regression: Theory and Code
Multiple linear regression and polynomial regression
Practical machine learning issues
Conclusion and Next Steps
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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6. Deep Learning Foundation : Linear Regression and Statistics 经过 Jay Bhatt Udemy课程

“Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning”

截至目前，超过 9195+ 人们已经注册了这门课程，而且已经结束了 1359+ 评论.

课程内容
Introduction
Introduction to Linear Regression
coding a linear regression model from scratch
Basic Statistics
Statistical Tests
Assumptions of linear regression
Logistic Regression
Bonus Lectures

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

7. Regression Analysis / Data Analytics in Regression 经过 Quantitative Specialists Udemy课程

Gain Important and Highly Marketable Skills in Regression Analysis – Tame the Regression Beast Today!

截至目前，超过 5240+ 人们已经注册了这门课程，而且已经结束了 958+ 评论.

课程内容
Introduction
Simple Regression – One Predictor (or IV)
Multiple Regression – 2+ Predictors (IVs)
Hierarchical Regression – 2+ Predictors (with order of entry)
Regression in Microsoft Excel
Conclusion

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8. Machine Learning Regression Masterclass in Python 经过 “Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard, Ligency Team” Udemy课程

“Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras”

截至目前，超过 5237+ 人们已经注册了这门课程，而且已经结束了 571+ 评论.

课程内容
INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]ANACONDA AND JUPYTER INSTALLATION
SIMPLE LINEAR REGRESSION
REGRESSION KEY PERFORMANCE INDICATORS
POLYNOMIAL REGRESSION
MULTIPLE LINEAR REGRESSION
LOGISTIC REGRESSION
APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS
LASSO AND RIDGE REGRESSION
Bonus Lectures

单击此处获得 95% OFF 折扣，当您单击时将自动应用折扣

9. Regression Analysis for Statistics & Machine Learning in R 经过 Minerva Singh Udemy课程

Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R

截至目前，超过 4278+ 人们已经注册了这门课程，而且已经结束了 529+ 评论.

课程内容
Get Started with Practical Regression Analysis in R
Ordinary Least Square Regression Modelling
Deal with Multicollinearity in OLS Regression Models
Variable & Model Selection
Dealing With Other Violations of the OLS Regression Models
Generalized Linear Models(GLMs)
Working with Non-Parametric and Non-Linear Data
Miscellaneous Lectures

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10. The STATA OMNIBUS: Regression and Modelling with STATA 经过 F. Buscha Udemy课程

“4 COURSES IN 1! Includes introduction to Linear and Non-Linear Regression, Regression Modelling and STATA. Updated Freq.”

截至目前，超过 2957+ 人们已经注册了这门课程，而且已经结束了 466+ 评论.

课程内容
“Introduction
Linear Regression
Non-Linear Regression
Regression Modelling
Introduction to Stata: Getting Started
Introduction to Stata: Exploring Data
Introduction to Stata: Manipulating Data
Introduction to Stata: Visualising Data
Introduction to Stata: Testing Means, Correlations and ANOVA
Introduction to Stata: Linear Regression
Introduction to Stata: Categorical Choice Models
Fractional/Proportional Variable Models
Introduction to Stata: Random Numbers and Simulation
Introduction to Stata: Count Data Models
Introduction to Stata: Survival Analysis
Introduction to Stata: Panel Data
Introduction to Stata: Difference-in-Differences Analysis
Introduction to Stata: Instrumental Variable Regression
Epidemiological Tables
Introduction to Stata: Power Analysis
Introduction to Stata: Basic Matrix Operations
Practice Tests”

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下面是一些关于学习的常见问题回归分析

学习回归分析需要多长时间？

“学习回归分析需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 回归分析 是为了什么？你的出发点在哪里？您是初学者还是有使用 回归分析 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 回归分析.

回归分析 学起来容易还是难？

不，学习 回归分析 对大多数人来说并不难。检查这个 关于如何学习的课程 回归分析 立刻！

如何快速学习回归分析？

学习 回归分析 最快的方法是先得到这个 回归分析 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 回归分析？

如果您想探索和学习 回归分析，那么 Udemy 为您提供了学习 回归分析 的最佳平台。查看此 关于如何学习的课程 回归分析 立刻！