uCertify

Regression Analysis with R

With this Regression Analysis in R course, you’ll build predictive models, stand out in interviews, and secure high-paying roles in data science, analytics, and research.

(REG-R.AJ1) / ISBN : 978-1-61691-689-3
Lessons
100 Rezension
Holen Sie sich eine kostenlose Testversion

Über diesen Kurs

Videos courses and tutorials teach you how to run regression models. This one teaches you how to think with them.

In this Regression Analysis with R course, you’ll learn how to uncover meaningful relationships in data, predict outcomes, and build models that can influence real-world decisions. Work with real datasets, tackle hands-on projects and build a job-ready portfolio. Go from simple linear regression to advanced techniques, all through practice, job-relevant scenarios.

No beating about the bush, just applied regression modeling in R, taught in a way that sticks.

Fähigkeiten, die Sie erwerben werden

  • Build, optimize, and validate predictive models using R, the language trusted by statisticians and data pros.
  • Uncover hidden patterns, measure relationships, and extract powerful insights that drive business impact.
  • Develop a problem-solving mindset to predict sales, analyze trends, and optimize outcomes. 
  • Get hands-on with industry-grade libraries and tools likeggplot2, caret, lm(), and more.
  • Interpret model outputs, diagnose errors, and communicate findings.
  •  Visualize and represent your data insights.
Kursübersicht herunterladen

1

Preface

  • What this course covers
  • To get the most out of this course
  • Conventions used
2

Getting Started with Regression

  • Going back to the origin of regression
  • Regression in the real world
  • Understanding regression concepts
  • Regression versus correlation
  • Discovering different types of regression
  • The R environment
  • Installing R
  • RStudio
  • R packages for regression
  • Summary
3

Basic Concepts – Simple Linear Regression

  • Association between variables – covariance and correlation
  • Searching linear relationships
  • Least squares regression
  • Creating a linear regression model
  • Modeling a perfect linear association
  • Summary
4

More Than Just One Predictor – MLR

  • Multiple linear regression concepts
  • Building a multiple linear regression model
  • Multiple linear regression with categorical predictor
  • Gradient Descent and linear regression
  • Polynomial regression
  • Summary
5

When the Response Falls into Two Categories – Logistic Regression

  • Understanding logistic regression
  • Generalized Linear Model
  • Multiple logistic regression
  • Multinomial logistic regression
  • Summary
6

Data Preparation Using R Tools

  • Data wrangling
  • Finding outliers in data
  • Scale of features
  • Discretization in R
  • Dimensionality reduction
  • Summary
7

Avoiding Overfitting Problems - Achieving Generalization

  • Understanding overfitting
  • Feature selection
  • Regularization
  • Summary
8

Going Further with Regression Models

  • Robust linear regression
  • Bayesian linear regression
  • Count data model
  • Summary
9

Beyond Linearity – When Curving Is Much Better

  • Nonlinear least squares
  • Multivariate Adaptive Regression Splines
  • Generalized Additive Model
  • Regression trees
  • Support Vector Regression
  • Summary
10

Regression Analysis in Practice

  • Random forest regression with the Boston dataset
  • Classifying breast cancer using logistic regression
  • Regression with neural networks
  • Summary

Haben Sie Fragen? Schauen Sie sich die FAQs an

Read answers to commonly asked questions about this certification exam.

Kontaktiere uns jetzt

After you complete our Regression Analysis with R training, you will be able to build, interpret, and present regression models in R to solve real-world problems. Also, you'll have portfolio projects to show for it.

This course is structured for outcomes, not just knowledge. You’ll get hands-on projects, real-world use cases, and skills you can actually use in a job.

Yes. This is a great starting point if you’re pivoting into data. It helps you build one of the most in-demand skills with immediate application.

All you need is R and RStudio. Both are free and open-source. We’ll guide you through setup at the beginning of the course.

Build a Portfolio Too Strong for Employers to Ignore

Start building the data career they said you needed experience for.

$239.99

Kaufe jetzt

Ähnliche Kurse

Alle Kurse