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.
96credentials
2online degrees
375courses

Explore the Predictive Modeling Course Catalog

  • 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

  • Skills you'll gain: Control Systems, Computer Vision, Image Analysis, Automation, Embedded Software, Simulations, Systems Architecture, Deep Learning, Virtual Environment, Software Architecture, Scenario Testing, Global Positioning Systems, Predictive Modeling, Computer Hardware, Estimation, Real Time Data

  • 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

  • Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

  • 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: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

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

  • Status: New
    Status: Preview

    Skills you'll gain: Account Management, AI Personalization, Customer Engagement, Generative AI Agents, Customer Communications Management, Personalized Service, Customer Insights, Communication, Scalability, Customer Relationship Management (CRM) Software, Data Ethics, Email Automation, Customer Retention, Responsible AI, Predictive Modeling, Business Process Automation, Analytics, Workflow Management, Automation

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Legal Technology, Legal Research, Litigation Support, Mediation, Legal Strategy, Generative AI, Litigation and Civil Justice, Electronic Discovery, Predictive Modeling, Artificial Intelligence, Document Management, Automation, Case Management

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling

  • Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

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.

    Offered by

    Microsoft_logo
    IBM_logo
    Johns Hopkins University_logo

Most popular

Trending now

New releases

What brings you to Coursera today?

Leading partners

  • Google Cloud
  • EDUCBA
  • Packt
  • University of Colorado Boulder
  • IBM
  • LearnQuest
  • Johns Hopkins University
  • SAS