Question bank for FDP Financial Data Professional Exams 2026

Financial Data Professional (FDP)Earners of this designation have demonstrated specialized knowledge of alternative data, machine learning, & artificial intelligence applications on the investment process. Earners understand the risks & rewards of alternative data for investment decisions, can assess the accuracy of machine learning models & apply data science concepts. Earners have developed knowledge of programming, quantitative methods, classification vs regression analysis & visualizing machine learning model performance.FDP Financial Data Professional Exams 2026 Topics1. Introduction to Data ScienceData Analytic ThinkingBusiness Problems and Data Science SolutionsMachine Learning FundamentalsStatistical LearningAssessing Model Accuracy2. Linear & Logistic Regression, Support Vector Machines, Regularization & Time SeriesRegression & ClassificationLogistic Regression & SVMsRegularization & Model SelectionTime Series Analysis & Forecasting3. Decision Trees, Supervised Segmentation, & Ensemble MethodsDecision Trees & Supervised LearningEnsemble Learning (Bagging, Boosting, Random Forests)4. Classification, Clustering, & Naïve BayesNearest Neighbor & ClusteringProbabilistic Models & Naïve Bayes5. Neural Networks & Reinforcement LearningNeural Networks & Deep LearningGradient Descent & OptimizationApplications in Finance & Reinforcement Learning6. Performance Evaluation, Back-testing, & False DiscoveriesModel Performance MetricsModel InterpretabilityFalse Discoveries & Statistical Pitfall