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

  • 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

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

  • Status: Preview

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

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Supervised Learning, Predictive Analytics, Data Cleansing, Data Visualization, Exploratory Data Analysis, Dimensionality Reduction, Unsupervised Learning, Data Science, Descriptive Analytics, Matplotlib, Predictive Modeling, Data Analysis, Visualization (Computer Graphics), Pandas (Python Package), Data-Driven Decision-Making, Time Series Analysis and Forecasting, Scientific Visualization, Machine Learning Algorithms, Statistical Machine Learning, Data Visualization Software

  • Skills you'll gain: Social Network Analysis, Network Analysis, Data Storytelling, Data Visualization, Data Presentation, Marketing Analytics, Predictive Modeling, Strategic Decision-Making, Financial Forecasting, Predictive Analytics, Forecasting, Dashboard, Target Market, Financial Statement Analysis, Operations Research, Random Forest Algorithm, Pandas (Python Package), Network Model, Natural Language Processing, Business Analytics

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

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Descriptive Analytics, Business Analytics, Data Mining, Predictive Analytics, Dimensionality Reduction, Data Analysis, R Programming, Statistical Modeling, Big Data, Visualization (Computer Graphics), Scientific Visualization, Predictive Modeling, Data Modeling, Analytics, Advanced Analytics, Data Visualization Software, Regression Analysis, Data-Driven Decision-Making, Statistical Visualization, Analytical Skills

  • Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

  • University of Pittsburgh

    Skills you'll gain: LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Apache Spark, Predictive Modeling, Large Language Modeling, Database Management, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Analysis

  • Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL

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

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Bayesian Statistics, Machine Learning Algorithms, Natural Language Processing, Statistical Machine Learning, Predictive Modeling, Scientific Visualization, Unstructured Data, Probability