Predictive Modeling

Predictive Modeling is a statistical technique using machine learning and data mining to forecast future outcomes based on historical data. Coursera's Predictive Modeling catalogue helps you understand, design, and build predictive models to solve real-world business problems. You'll learn a variety of machine learning algorithms, techniques for handling missing data, steps to evaluate and validate models, and how to leverage these models in decision making. Gain proficiency in tools and libraries such as Python's Scikit-Learn and Pandas, R's Caret, and various data visualization tools, equipping you with skills widely applicable in fields like finance, healthcare, marketing, and more.
95credentials
2online degrees
376courses

Explore the Predictive Modeling Course Catalog

  • Universidad de los Andes

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Bayesian Statistics, Machine Learning Algorithms, Natural Language Processing, Statistical Machine Learning, Predictive Modeling, Scientific Visualization, Unstructured Data, Probability

    Credit offered

    Mastertrack · 6 - 12 Months