Filter by
The language used throughout the course, in both instruction and assessments.
Results for "econometric+modelling"
Illinois Tech
Skills you'll gain: R Programming
Macquarie University
Skills you'll gain: Forecasting, Microsoft Excel, Probability & Statistics, Spreadsheet Software
Università di Napoli Federico II
University of Pennsylvania
Skills you'll gain: Business Analysis, Data Model, Finance, Forecasting, General Statistics, Mathematical Theory & Analysis, Probability & Statistics, Regression, Statistical Analysis, Basic Descriptive Statistics
Johns Hopkins University
Skills you'll gain: Calculus, Mathematics, Differential Equations
University of California, Irvine
Skills you'll gain: Data Analysis, Data Model, General Statistics, Machine Learning, Probability & Statistics, Regression, Statistical Analysis
University of Minnesota
Skills you'll gain: Decision Making, Business Analysis, Data Analysis, Generally Accepted Accounting Principles (GAAP), Statistical Machine Learning, Strategy and Operations, Operations Management
Whizlabs
Skills you'll gain: Data Model, Machine Learning
University of Minnesota
Skills you'll gain: Data Analysis, Forecasting, General Statistics, Regression, Spreadsheet Software, Statistical Analysis, Microsoft Excel, Probability & Statistics, Exploratory Data Analysis, Plot (Graphics)
Politecnico di Milano
In summary, here are 10 of our most popular econometric+modelling courses
- Model Diagnostics and Remedial Measures:Â Illinois Tech
- Excel Time Series Models for Business Forecasting:Â Macquarie University
- Development Economics: Università di Napoli Federico II
- Fundamentals of Quantitative Modeling:Â University of Pennsylvania
- Calculus through Data & Modeling: Applying Differentiation:Â Johns Hopkins University
- Predictive Modeling, Model Fitting, and Regression Analysis:Â University of California, Irvine
- Project Finance & Excel: Build Financial Models from Scratch:Â Packt
- Advanced Models for Decision Making:Â University of Minnesota
- Modeling in AWS:Â Whizlabs
- Introduction to Predictive Modeling:Â University of Minnesota
