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

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Big Data, Generative AI, Customer Relationship Management, Predictive Modeling, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis, Python Programming

  • Skills you'll gain: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Artificial Intelligence, Query Languages, Data Analysis

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning

  • Skills you'll gain: Google Gemini, Marketing Analytics, Analytics, Customer Analysis, Generative AI, Data Analysis, Customer Insights, Google Cloud Platform, Customer Data Management, Marketing Strategies, Predictive Modeling, Forecasting, SQL

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

  • Status: New
    Status: Preview

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

  • Skills you'll gain: Google Gemini, Google Cloud Platform, Customer Analysis, Generative AI, Marketing Analytics, Analytics, Advanced Analytics, Customer Insights, Data-Driven Decision-Making, Data Analysis, Predictive Modeling, Forecasting

  • Status: Preview

    Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling

  • Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, SQL, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Customer Relationship Management

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring

  • Skills you'll gain: MLOps (Machine Learning Operations), Business Workflow Analysis, Data Management, Google Cloud Platform, Data Governance, Data Pipelines, Predictive Modeling, Machine Learning, Data Transformation, Continuous Monitoring

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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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