Statistical Models Courses and Certifications

ICTP-SAIFR

Statistical Models: Linking Data to Theory - Class 2

Explore statistical models linking data to theory in quantitative ecology. Learn from expert Andrea Sanchez-Tapia in this comprehensive lecture on advanced ecological analysis techniques.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

ICTP-SAIFR

Statistical Models: Linking Data to Theory - Class 1

Explore statistical models in ecology, linking data to theory. Learn logistic growth, ecological studies, and probabilistic modeling techniques for quantitative analysis.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Video

Quantitative Social Science Methods

1 review

First course for incoming Harvard Government Department PhD students; also taken by students in other departments, and students elsewhere through the Harvard Extension School. Instructor: Gary King.

• YouTube
• 19 hours
• On-Demand
• Free Video

Combining Physical and Statistical Models in Projected Global Warming

Combining physical and statistical models to narrow uncertainty in global warming projections, focusing on Earth's energy budget and model-observation relationships for more accurate future warming estimates.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Introduction to Analytics Modeling

5 reviews

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

• edX
• 16 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Quantitative Research

308 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 28 minutes
• On-Demand
• Free Online Course (Audit)

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 27 minutes
• On-Demand
• Free Online Course (Audit)

Statistical Methods

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 42 minutes
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• 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
• On-Demand
• Free Trial Available

Advanced NLP with spaCy

13 ratings at DataCamp

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

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

NY Regents Exam - Algebra II: Test Prep & Practice

Comprehensive preparation for NY Regents Algebra II exam, covering mathematical reasoning, complex numbers, functions, trigonometry, statistics, and probability through lessons and quizzes.

• Study.com
• 15 hours
• On-Demand
• Paid Course

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

• DataCamp
• On-Demand
• Free Trial Available

Univariate continuous distribution theory

2 ratings at OpenLearn

This free course looks at a number of the basic properties of statistical models. Section 1 is concerned with the distributions of continuous random variables which are described by their ...

• OpenLearn
• 10 hours
• On-Demand
• Free Certificate

Statistics for Business Analytics: Modelling and Forecasting

Learn to apply statistical techniques for business analytics, covering correlation, regression, and time series forecasting to predict future trends and make data-driven decisions.

• edX
• 10 weeks, 4-8 hours a week
• On-Demand
• Free Online Course (Audit)