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: 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: Preview

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data

  • Status: Free Trial

    Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, Data Strategy, Prompt Engineering, Responsible AI, Data Quality, Predictive Modeling

  • 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: New
    Status: Free Trial

    Skills you'll gain: Cryptography, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling, Machine Learning Methods, Back-End Web Development, Applied Machine Learning

  • Status: Preview

    Imperial College London

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

  • Status: Preview

    Johns Hopkins University

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

  • Status: Preview

    Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm

  • 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

    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

  • Status: Free

    Skills you'll gain: AI Personalization, Amazon Web Services, Amazon S3, Predictive Modeling, Applied Machine Learning

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

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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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