Financial Modeling Courses

Introduction to Statistical Modeling in R

This course is designed to get you up to speed with the most important and powerful methodologies in statistics.

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

Bayesian Modeling with RJAGS

In this course, you'll learn how to implement more advanced Bayesian models using RJAGS.

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

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

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

Structural Equation Modeling with lavaan in R

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

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

Topic Modeling in R

Learn how to fit topic models using the Latent Dirichlet Allocation algorithm.

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

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

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

Choice Modeling for Marketing in R

Learn to analyze and model customer choice data in R.

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

Mergers & Acquisitions (M&A) Modeling in Excel Part 1 – Model Setup & Transaction Adjustments

Build a fully functional Mergers & Acquisitions (M&A) model in Excel by mastering the structural setup and transaction adjustments that form the foundation of any merger or acquisition analysis

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

Mergers & Acquisitions (M&A) Modeling in Excel Part 2 – Pro Forma Integration & Analysis

Complete a fully integrated Mergers & Acquisitions (M&A) model in Excel by combining the acquirer and target into a pro forma model, and assess the true impact of the transaction through accretion/dilution analysis and sensitivity testing

• Corporate Finance Institute
• 2 hours
• Self-Paced
• Paid Course

LBO Modeling Pt.1 – Sources & Uses

Build a strong foundation in leveraged buyout (LBO) modeling by understanding how transactions are structured, valued, and financed

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

LBO Modeling Pt.3 – Output Metrics

Advance your leveraged buyout (LBO) modeling skills by understanding how to build detailed output schedules and dashboards

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

LBO Modeling Pt.2 – Capital Structure

Advance your leveraged buyout (LBO) modeling skills by understanding how to build complex capital structures into a model

• Corporate Finance Institute
• 2 hours
• Self-Paced
• Paid Course

Data Modeling in Sigma

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.

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

Analyzing Financial Statements in Python

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

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

Financial Analysis in Power BI

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

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