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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Results for "Predictive Modeling"

  • Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Logistic Regression, Descriptive Analytics, Model Training, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning

  • University of Minnesota

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods

  • University of Colorado Boulder

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Model Evaluation, Data Visualization, Exploratory Data Analysis, Logistic Regression, Data Presentation, Business Analytics, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Data Analysis, Classification Algorithms, Statistical Machine Learning, Microsoft Excel, Data Preprocessing, Decision Tree Learning, Graphing, Data Cleansing, Artificial Neural Networks

  • Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis

  • Skills you'll gain: Predictive Modeling, Intensive Care Unit, Risk Modeling, Clinical Practices, Decision Support Systems, Qualitative Research, Data Analysis, Model Deployment

  • From the course: Predictive Modeling and Analytics·Lesson: Introduction

  • From the course: Predictive Modeling and Analytics·Lesson: Regression Techniques

  • From the course: Foundations of strategic business analytics·Lesson: Predictions and Forecasting: lectures

  • From the course: Introduction to Predictive Modeling·Lesson: Lesson 1: Introduction to Data Preparation

  • University of Colorado Boulder

    From the course: Predictive Modeling and Analytics·Lesson: Introduction

  • From the course: Predictive Modeling and Analytics·Lesson: Regression Techniques

  • From the course: MLOps Platforms: Amazon SageMaker and Azure ML·Lesson: Performing Feature Engineering