Statistical Models Courses and Certifications

Advanced Biostatistics Multivariate Analysis

Master multivariate analysis techniques to identify confounders, assess causality, and develop modeling strategies for complex biostatistical relationships.

• OpenLearning
• Self-Paced
• Paid Course

Analyze Data and Avoid Common Pitfalls

Master analytical thinking to interpret data models, question assumptions, spot bias in trends, and transform insights into clear, actionable business decisions.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Data Analytics Foundations

Discover statistical modeling, predictive analytics, and data visualization techniques to make strategic decisions across industries using descriptive and inferential statistics.

• VDCI
• 12 hours
• Self-Paced
• $595.00

Career Certificate

Bayesian Statistics

3522 ratings at Coursera

Comprehensive exploration of Bayesian statistics, covering concepts, techniques, models, and applications. Develop proficiency in statistical analysis, R programming, and real-world data modeling.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Data Science Fundamentals

264 ratings at Coursera

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Predictive Modeling and Analytics

605 ratings at Coursera

Gain insights through data analysis, visualization, and predictive modeling techniques. Learn to use XLMiner for regression, classification, decision trees, and neural networks in business contexts.

• Coursera
• 10 hours 53 minutes
• Self-Paced
• Paid Course

Linear Regression Modeling for Health Data

Explore statistical modeling for health data, covering t-tests, linear regression, and multiple predictors. Gain practical skills through lectures, guided coding, and exercises.

• Coursera
• 13 hours 3 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistical Methods for Computer Science

5 ratings at Coursera

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Computational and Graphical Models in Probability

Master computational probability through simulation techniques, network analysis, and graphical models using R. Build expertise in ERGMs and PGMs while gaining practical skills for complex data analysis and machine learning applications.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Quantitative Research

346 ratings at Coursera

Gain insights for data-driven marketing decisions through survey design, implementation, and analysis. Learn to identify opportunities, maximize response rates, and interpret results using statistical models.

• Coursera
• 17 hours 30 minutes
• Self-Paced
• Paid Course

Bayesian Statistics: Techniques and Models

497 ratings at Coursera

Expand your Bayesian toolbox with advanced models and MCMC methods. Learn to construct, fit, assess, and compare sophisticated statistical models using R and JAGS for real-world data analysis.

• Coursera
• 1 day 5 hours 37 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

AI-Powered Business Analysis: Excel, KPIs & GenAI

449 ratings at Coursera

Master Excel, KPIs, and GenAI to revolutionize business analysis with automated insights, advanced statistics, and AI-powered visualizations for strategic decision-making.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 7 courses

Bayesian Statistical Concepts and Methods

Master Bayesian methods for data analysis using posterior distributions, MCMC algorithms, and hierarchical models with R and Stan platform implementation.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

Statistical Methods

10 ratings at Coursera

Learn statistical methods through real-life examples, R programming, and probability experiments. Develop skills in data analysis, visualization, and interpretation using RStudio. Gain practical insights applicable to various fields.

• Coursera
• 11 hours 52 minutes
• Self-Paced
• Paid Course

Exploratory Data Analysis

Learn data visualization and exploratory analysis using R. Develop statistical intuition, create graphical summaries, and perform probability experiments through hands-on practice with real-world examples.

• Coursera
• 9 hours 37 minutes
• Self-Paced
• Paid Course