Statistical Models Courses and Certifications

ARIMA Models in R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Advanced NLP with spaCy

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• DataCamp
• 5 hours
• Self-Paced
• Free Trial Available

Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Fraud Detection in R

Explore fraud detection techniques using R, covering anomaly detection, social network analysis, handling imbalanced data, and applying robust statistics for effective fraud prevention.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Bayesian Regression Modeling with rstanarm

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Handling Missing Data with Imputations in R

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Mixture Models in R

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

R For SAS Users

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Time Series with data.table in R

Master time series data manipulation using data.table in R. Learn efficient techniques for handling large datasets, performing feature engineering, and building statistical models with financial data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Analyzing Survey Data in Python

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

In this course, you'll make use of R to analyze financial data, estimate statistical models, and construct optimized portfolios.

• DataCamp
• Self-Paced
• Free Trial Available

Career Certificate

Data Analytics Foundations Course Online (Self-Paced)

Gain a solid foundation in data analytics, studying statistics and how data informs forecasting and strategic decisions across industries, while exploring statistical modeling and analysis.

• Noble Desktop
• Self-Paced
• $595.00