Statistical Modeling Courses and Certifications

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

Regression Analysis: Simplify Complex Data Relationships

593 ratings at Coursera

Explore predictive modeling techniques to uncover complex data relationships, from linear and logistic regression to ANOVA, enhancing your ability to extract valuable insights for data-driven decision-making.

• Coursera
• 1 day 3 hours 47 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

IIT Kharagpur;  NPTEL

Applied Multivariate Statistical Modeling

Learn to analyze and interpret multivariate data for decision-making. Covers statistical models, parameter estimation, error analysis, and real-life problem-solving in various fields like engineering, management, and data science.

• Swayam
• 12 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course

Modeling with Statistical Distributions: Wolfram U

Explore high-level statistical modeling using Wolfram's extensive distribution collection. Learn automated probability functions, parameter estimation, and data visualization techniques.

• Wolfram U
• 34 minutes
• Self-Paced
• Free Online Course

Coursera Credential

AI-Powered Business Analysis: Excel, KPIs & GenAI

444 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

Probability for Machine Learning

Master probability fundamentals and their direct applications in machine learning algorithms, from Bayes' Theorem to model evaluation metrics like ROC curves.

• edX
• 4 weeks, 2-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Modern Regression Analysis in R

37 ratings at Coursera

Foundational statistical modeling tools for data science, covering linear models, parameter estimation, diagnostics, and ethical implications. Practical skills in R for regression analysis and model selection.

• Coursera
• 1 day 21 hours 27 minutes
• Self-Paced
• Paid Course

Credential

SAS Statistical Business Analyst

228 ratings at Coursera

Enhance predictive and statistical modeling skills to drive data-informed business outcomes. Learn hypothesis testing, regression modeling, and logistic regression using SAS software.

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

Generalized Linear Models and Nonparametric Regression

24 ratings at Coursera

Explore advanced statistical modeling tools including GLMs, nonparametric regression, and GAMs. Learn to apply these techniques for classification, data analysis, and ethical decision-making in data science.

• Coursera
• 1 day 18 hours 4 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Making Predictions with AI

18 ratings at Coursera

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Regression and Classification

16 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 50 minutes
• Self-Paced
• Paid Course

Credential

Modeling and Predicting Climate Anomalies

14 ratings at Coursera

Master climate change analysis through statistical modeling, machine learning, and policy evaluation while developing practical Python skills to predict and interpret extreme weather patterns.

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

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course