Undergraduate Certificate in Predictive Modeling for Tech Startups
-- ViewingNowThe Undergraduate Certificate in Predictive Modeling for Tech Startups is a compact course designed to propel learners into the exciting world of data-driven decision making in the tech startup industry. This program emphasizes the importance of predictive modeling, a critical skill set in high demand across numerous sectors.
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⢠Introduction to Predictive Modeling: Basic concepts, types of predictive models, and their applications in tech startups.
⢠Data Preprocessing: Data cleaning, normalization, transformation, and feature selection.
⢠Statistical Analysis: Descriptive and inferential statistics, probability, and hypothesis testing.
⢠Machine Learning Algorithms: Supervised, unsupervised, and reinforcement learning algorithms.
⢠Regression Analysis: Simple and multiple linear regression, logistic regression, and polynomial regression.
⢠Classification Techniques: Decision trees, random forest, support vector machines, and naive Bayes classifiers.
⢠Time Series Analysis: ARIMA, exponential smoothing, and prophet models.
⢠Natural Language Processing: Text preprocessing, sentiment analysis, and topic modeling.
⢠Model Validation & Evaluation: Cross-validation, performance metrics, and bias-variance tradeoff.
⢠Ethics in Predictive Modeling: Bias, fairness, transparency, and privacy considerations.
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