Statistical Modeling Courses and Certifications

Microcredential

Statistics with Python

Learn statistical analysis using Python, from data collection and visualization to advanced modeling, enhancing your ability to answer research questions with data-driven insights.

• Coursera
• 13 weeks, 4 hours a week
• On-Demand
• Paid Course
• 3 courses

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
• On-Demand
• Free Online Course (Audit)

Data Analysis: Statistical Modeling and Computation in Applications

106 ratings at edX

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science.

• edX
• 16 weeks, 10-15 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistics for Data Analysis

1 rating at Udacity

Master statistical analysis for data-driven decision-making. Learn descriptive statistics, probability, experimentation, regression, and A/B testing. Apply skills to real-world scenarios using Python.

• Udacity
• 2 months 3 weeks 1 day 6 hours 48 minutes
• On-Demand
• Paid Course

Regression Analysis to Model Diamond Prices

Master regression analysis techniques to predict diamond prices through data splitting, model training, evaluation, and advanced visualization methods.

• CodeSignal
• On-Demand
• Free Certificate

Regression Models for Prediction

Master regression modeling techniques to build predictive models using Python, covering multiple linear, polynomial, lasso and ridge regression, along with essential model evaluation metrics and visualization methods.

• CodeSignal
• On-Demand
• Free Certificate

Diving Deep into Regression

Master advanced regression techniques from polynomial to elastic net, with hands-on practice using real datasets for predictive modeling and performance optimization.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

Statistical Methods for Computer Science

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

• Coursera
• On-Demand
• 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
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science Fundamentals

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

• Coursera
• 17 weeks, 1 hour a week
• On-Demand
• Paid Course
• 4 courses

Predictive Modeling and Analytics

597 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 52 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Business Analytics

1 review

Develop data-driven decision-making skills using statistical analysis, computing tools, and mathematical models to improve business performance and predict outcomes across various domains.

• edX
• 48 weeks, 8-10 hours a week
• On-Demand
• $996.00
• 3 courses

From Data to Decisions: Making Predictions with AI

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
• On-Demand
• Free Online Course (Audit)

Regression Analysis

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
• On-Demand
• Free Online Course (Audit)

Modern Regression Analysis in R

29 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 26 minutes
• On-Demand
• Free Online Course (Audit)