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: MLOps (Machine Learning Operations), Business Workflow Analysis, Data Management, Google Cloud Platform, Data Governance, Data Pipelines, Predictive Modeling, Machine Learning, Data Transformation, Continuous Monitoring

  • Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, Machine Learning

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

  • Skills you'll gain: Social Network Analysis, Network Analysis, Data Storytelling, Marketing Analytics, Data Visualization, Data Presentation, Predictive Modeling, Product Marketing, Target Market, Strategic Marketing, Financial Statement Analysis, Predictive Analytics, Financial Data, Marketing Management, Statistical Analysis, Random Forest Algorithm, Operations Research, Pandas (Python Package), Natural Language Processing, Mathematical Modeling

  • 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: 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

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Business Analytics, Data Mining, Descriptive Analytics, Plot (Graphics), Dimensionality Reduction, Visualization (Computer Graphics), Big Data, Data Management, Statistical Modeling, Data Visualization, Data-Driven Decision-Making, Data Visualization Software, Predictive Modeling, Statistical Methods, Data Modeling, Analytics, Advanced Analytics, Statistical Visualization, Predictive Analytics, Forecasting

  • University of Pittsburgh

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

  • Pontificia Universidad Católica de Chile

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

  • Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Reinforcement Learning, Marketing Analytics, Deep Learning, Computer Vision, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Strategic Decision-Making, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Exploratory Data Analysis, Dashboard, Statistical Analysis, Random Forest Algorithm, Operations Research

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

Related roles

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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