Predictive Modeling Courses and Certifications

Classification – Fundamentals & Practical Applications

67 ratings at Corporate Finance Institute

This course provides a comprehensive overview of classification problems, solutions, and interpretations along with walkthroughs of real-world scenarios

• Corporate Finance Institute
• 1 hour 28 minutes
• Self-Paced
• Paid Course

Introduction to Regression with statsmodels in Python

40 ratings at DataCamp

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

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

Modeling Risk and Realities

2224 ratings at Coursera

Learn to create quantitative models for informed decision-making in complex, uncertain situations. Develop skills in optimization, risk management, and predictive modeling to make data-driven choices in various business scenarios.

• Coursera
• 9 hours 25 minutes
• Self-Paced
• Paid Course

Introduction to Regression in R

29 ratings at DataCamp

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

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

Machine Learning with caret in R

18 ratings at DataCamp

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

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

Supervised Learning in R: Regression

13 ratings at DataCamp

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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

Bayesian Regression Modeling with rstanarm

11 ratings at DataCamp

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

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

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

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

Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

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

Introduction to Spark with sparklyr in R

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

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

Generalized Linear Models in Python

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

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

HR Analytics: Predicting Employee Churn in Python

In this course you'll learn how to apply machine learning in the HR domain.

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

Analyzing Election and Polling Data in R

Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.

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

Survival Analysis in Python

Use survival analysis to work with time-to-event data and predict survival time.

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

Introduction to TensorFlow in R

Learn how to use TensorFlow, a state-of-the-art machine learning framework that specializes in the ability to develop deep learning neural networks.

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