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

  • Status: New
    Status: Preview

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

  • Status: New
    Status: Preview

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

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

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Analytics, Feature Engineering, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Performance Analysis, Case Studies, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Project Implementation

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Data Governance, Data Management, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Pipelines

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning

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

  • Status: Preview

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling, Data Quality

  • Status: Free Trial

    Skills you'll gain: AWS Identity and Access Management (IAM), Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Amazon S3, Key Management, Data Integration, Predictive Modeling, Data Cleansing, Machine Learning

  • Skills you'll gain: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality

  • 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, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing