Fundamentals of Quantitative Modeling (Wharton)

Finance colleagues, in the “Fundamentals of Quantitative Modeling” program from Wharton Online you will gain high-demand skills in Modeling, Linear Regression, Probabilistic Models and Regression Analysis. By the end of this course, you will have seen a variety of commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization. Skill-based training modules include: 1) Introduction to Models - Definition and Uses of Models, Common Functions, How Models Are Used in Practice, Key Steps in the Modeling Process, A Vocabulary for Modeling, Mathematical Functions, 2) Linear Models and Optimization - Introduction to Linear Models and Optimization, Growth in Discrete Time, Constant Proportionate Growth, Present and Future Value, Optimization, 3) Probabilistic Models -  Introduction to Probabilistic Models, Examples of Probabilistic Models, Regression Models, Probability Trees, Monte Carlo Simulations, Markov Chain Models, Building Blocks of Probability Models, The Bernoulli Distribution, The Binomial Distribution, The Normal Distribution, The Empirical Rule, and 4) Regression Models - Introduction to Regression Model, Use of Regression Models, Interpretation of Regression Coefficients, R-squared and Root Mean Squared Error (RMSE), Fitting Curves to Data, Multiple Regression, Logistic Regression and Summary of Regression Models. 

Enroll today at (teams & execs welcome): https://imp.i384100.net/VmE9P6

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