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

  • Status: Preview

    University of Washington

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

  • Status: Preview

    Skills you'll gain: Digital Transformation, Business Transformation, Goal Setting, Predictive Modeling, Organizational Change, Change Management, Action Oriented, Strategic Thinking, Innovation, Emerging Technologies, Decision Making

  • Status: New
    Status: Preview

    Skills you'll gain: SAS (Software), Predictive Modeling, Regression Analysis, Analytics, Statistical Methods, Data Transformation, Statistical Analysis, Business Analytics, Logistics, Estimation, Probability

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

  • Status: Free Trial

    Skills you'll gain: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

  • Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

  • Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

  • Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Google Cloud Platform, Predictive Modeling, Artificial Intelligence, Product Development

  • Skills you'll gain: Shiny (R Package), FinTech, Financial Market, Financial Planning, Financial Forecasting, Statistical Programming, Asset Management, Financial Analysis, Artificial Intelligence, Web Applications, Portfolio Management, Predictive Modeling, Time Series Analysis and Forecasting, Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Predictive Modeling, Data Processing, Data Science, Data Manipulation, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Modeling, Feature Engineering, Data Science, Data Cleansing, Animation and Game Design

  • Status: New
    Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Text Mining, Data Processing, Data Cleansing, Predictive Modeling, Python Programming, Data Analysis, Analysis, Algorithms, Integrated Development Environments