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"

  • University of California, Irvine

    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

    4.5 stars, 76 reviews, Intermediate, Course, 1 - 4 Weeks

  • 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

    4.8 stars, 145 reviews, Mixed, Course, 1 - 4 Weeks

  • University of Colorado Boulder

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Model Evaluation, Exploratory Data Analysis, Logistic Regression, Data Presentation, Business Analytics, Analytics, Statistical Visualization, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Classification And Regression Tree (CART), Data Analysis, Applied Machine Learning, Classification Algorithms, Data Analysis Software, Microsoft Excel, Data Preprocessing, Data Cleansing

    3.6 stars, 607 reviews, Intermediate, Course, 1 - 4 Weeks

  • Edureka

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Statistical Machine Learning, Predictive Analytics, Statistical Methods, Data Analysis, Analytics, Applied Machine Learning, Business Analytics, Machine Learning Methods, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Model Training, Data Preprocessing, Model Optimization, Python Programming, Data Manipulation, Pandas (Python Package), NumPy

    Intermediate · Course · 1 - 3 Months

  • EDUCBA

    Skills you'll gain: Model Evaluation, Sampling (Statistics), NumPy, Pandas (Python Package), Data Literacy, Feature Engineering, Statistical Visualization, Data Analysis, Predictive Modeling, Analytics, Regression Analysis, Predictive Analytics, Statistics, Analysis, Computational Thinking, Data Science, Business Intelligence, Applied Machine Learning, Data Quality, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • EDUCBA

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Credit Risk, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Analytics, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization

    Mixed · Course · 1 - 3 Months

  • LearnQuest

    From the course: Automate Data Analysis and BI with No-Code AI·Lesson: Advanced Analytics and Predictive Modeling - Introduction

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    33 views

    Micro Lesson · 2 minutes

  • Board Infinity

    From the course: Email Analytics & AI for Marketing Performance·Lesson: Predictive Audience Modeling

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    13 views

    Micro Lesson · 6 minutes

  • SAS

    From the course: The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats·Lesson: Predictive Modeling

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    1.1k views

    Micro Lesson · 5 minutes

  • Case Western Reserve University

    From the course: Using R for Geostatistical Geospatial Modeling·Lesson: Data Visualization and Data Modeling

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    110 views

    Micro Lesson · 6 minutes

  • SAS

    From the course: Statistics You Need to Know for Machine Learning·Lesson: Introduction to Predictive Modeling

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    48 views

    Micro Lesson · 3 minutes

  • Coursera

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)

    2.8 stars, 6 reviews, Intermediate, Specialization, 3 - 6 Months