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: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Machine Learning, Data Analysis, Random Forest Algorithm

  • Status: Preview

    Pontificia Universidad Católica de Chile

    Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Supply And Demand, Spatial Analysis, Probability Distribution

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: Control Systems, Mathematical Modeling, Engineering Calculations, Process Control, Automation, Applied Mathematics, User Feedback, Predictive Modeling, Systems Analysis

  • Coursera Project Network

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

  • Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, Regression Analysis, Finance, GitHub, Statistical Modeling

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: R (Software), Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Statistical Hypothesis Testing, Scripting, Package and Software Management, Predictive Modeling, Risk Analysis, Descriptive Statistics, Data Import/Export

  • Status: Preview

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Clinical Practices, Responsible AI, Deep Learning, Health Care, Unsupervised Learning, Algorithms, Data Cleansing, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Algorithms, Regression Analysis, Predictive Modeling, Feature Engineering, Artificial Intelligence, Data Ethics, Statistical Methods, Data Transformation

  • Status: Free Trial

    Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, Responsible AI, Presentations, Microsoft Excel, Microsoft Outlook, Data Presentation, Microsoft PowerPoint, Microsoft Teams, Data Storytelling, Predictive Modeling, Microsoft 365, Data Visualization Software, Data Synthesis, Spreadsheet Software, Microsoft Word, Excel Formulas, Collaborative Software, Sales Presentations, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, OpenAI, Artificial Intelligence, Large Language Modeling, Ethical Standards And Conduct, Analytical Skills, Analysis, Game Theory, Predictive Modeling

  • Status: Preview

    Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Financial Forecasting, Predictive Modeling, Finance, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Risk Analysis, Microsoft Excel

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a $145,280 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 $145,280 median salary ¹.

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