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.
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Explore the Predictive Modeling Course Catalog

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Performance Testing, Scalability, Predictive Modeling, Data Architecture, Distributed Computing, Application Performance Management, Software Architecture, Big Data, Unit Testing, Microservices, Database Architecture and Administration, Software Engineering, Test Automation

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Predictive Modeling, Organizational Leadership, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Ethics, Business Analytics, Innovation, Strategic Leadership, Artificial Intelligence, Natural Language Processing, Strategic Decision-Making, Machine Learning, Computer Vision, IT Service Management

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Analysis, Supervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Data Science, Predictive Modeling, Feature Engineering, Data Mining, Machine Learning, Bayesian Statistics, Probability & Statistics

  • Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming, Computer Science

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Cloud Applications, Image Analysis, Cloud Storage, Predictive Modeling, Data Import/Export

  • Status: New
    Status: Free Trial

    Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, MLOps (Machine Learning Operations), Computer Vision, Predictive Modeling, Machine Learning, Cloud Storage, Cloud API

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

  • 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

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  • 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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