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Statistical Modeling

14 resources

Level
Type

📹Videos(1)

video👁️ 0

StatQuest: Linear Regression

Clear explanation of linear regression by Josh Starmer

beginner🇬🇧

🎓Courses(5)

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course👁️ 0

Statistical Learning

Learn statistical modeling with Stanford's "Statistical Learning" course. Build predictive models and understand key concepts.

intermediate🇬🇧
course👁️ 0

Bayesian Statistics: From Concept to Data Analysis

This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.

intermediate🇬🇧
course👁️ 0

Introduction to Statistical Learning

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

beginner🇬🇧
course👁️ 0

Statistics for Data Science

This is a hands-on project to give you an overview of how to use statistics in data science.

beginner🇬🇧
course👁️ 0

Advanced Statistical Modeling

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

intermediate🇬🇧

📚Books(2)

book👁️ 0

The Elements of Statistical Learning

The Elements of Statistical Learning - A book resource

intermediate🇬🇧
book👁️ 0

Statistics for Data Science

Statistics for Data Science - A book resource

intermediate🇬🇧

🌐Websites(6)

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website👁️ 0

ISLR Website

Free book and resources for Statistical Learning

beginner🇬🇧
website👁️ 0

Distill.pub

Interactive ML and stats articles

beginner🇬🇧
website👁️ 0

Seeing Theory

Interactive visualization of probability and stats

beginner🇬🇧
website👁️ 0

r-statistics.co

R-Statistics.co is a practical, example-driven guide to learning statistics with the R programming language. It provides tutorials, explanations, and ready-to-use R code across topics from descriptive statistics to regression, hypothesis testing, and data visualization.

intermediate🇬🇧
website👁️ 0

towardsdatascience.com

Towards Data Science is a popular Medium publication featuring approachable articles on data science, statistics, and machine learning. It offers tutorials, explainers, and code examples from a broad community of authors covering statistical modeling, ML methods, data visualization, and real-world applications.

intermediate🇬🇧
website👁️ 0

datacamp.com

DataCamp is an online learning platform focused on data science and statistical modeling, offering interactive courses and guided tracks in R, Python, SQL, and more. It provides hands-on coding exercises, real-world projects, and certificates to build practical statistical modeling and data analysis skills.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Statistical Modeling?

Dantes has curated 8 resources for Statistical Modeling, including 1 videos, 3 courses, 3 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Statistical Modeling hard to learn?

Statistical Modeling is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Statistical Modeling learning resources are available on Dantes?

For Statistical Modeling, Dantes has curated 1 videos, 3 courses, 3 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Statistical Modeling resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Statistical Modeling, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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