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

  • Skills you'll gain: Analytics, Statistical Machine Learning, Advanced Analytics, Google Cloud Platform, Big Data, Applied Machine Learning, Data Analysis, Predictive Modeling

  • Status: Free Trial

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Supervised Learning, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Generative AI Agents, Data Ethics, Healthcare Industry Knowledge, Automation, Clinical Informatics, Health Care Administration, Health Informatics, Artificial Intelligence, Predictive Modeling, Innovation, Health Technology, System Implementation

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Data Analysis

  • Status: New

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, Predictive Modeling, Data Pipelines, Data Processing

  • Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms

  • Status: Preview

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Science, Dimensionality Reduction, Advanced Analytics, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Predictive Modeling, Linear Algebra, Probability Distribution

  • Status: New
    Status: Free Trial

    Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Mining, Data Transformation, Unstructured Data, Predictive Modeling, Simulation and Simulation Software, Data Manipulation, Marketing Analytics, Image Analysis, Risk Analysis

  • Status: Free Trial

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Data Analysis, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a $146,304 median salary ¹.

    description:

    A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.

    This role has a $146,304 median salary ¹.

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