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.

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Predictive Modeling"

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

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

  • Skills you'll gain: Financial Forecasting, Forecasting, Revenue Forecasting, Time Series Analysis and Forecasting, Model Evaluation, Trend Analysis, Model Training, Predictive Modeling, Power BI, Predictive Analytics, Applied Machine Learning, Model Optimization, Financial Reporting, Statistical Analysis, Machine Learning Methods, Performance Measurement, Business Analytics, Machine Learning, Microsoft Azure, Microsoft 365

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

  • Skills you'll gain: Regression Analysis, Predictive Modeling, Financial Forecasting, Statistical Modeling, Forecasting, SPSS, Predictive Analytics, Data-Driven Decision-Making, Statistical Analysis, Scatter Plots, SPSS (Software), Microsoft Excel, Model Evaluation, Retail Sales

  • From the course: AI for Medical Professionals·Lesson: Untitled Lesson

  • From the course: Predictive Modeling with Python·Lesson: Feature Engineering and Data Transformation

  • Skills you'll gain: Descriptive Statistics, Data Analysis, Predictive Modeling, Statistical Hypothesis Testing, Exploratory Data Analysis, Data-Driven Decision-Making, Data Science, Model Evaluation, Scikit Learn (Machine Learning Library), Statistical Analysis, Data Visualization, Statistical Inference, Model Training, Classification Algorithms, Logistic Regression, Supervised Learning, Performance Metric

  • From the course: Predictive Modeling with Python·Lesson: Model Evaluation and Optimization

  • From the course: Analyze & Build a Churn Prediction Model in R·Lesson: Preparing Data for Machine Learning

  • From the course: Master Decision Trees in R: Build, Predict & Evaluate·Lesson: Getting Ready with Tools

  • From the course: Complete SAS Guide - Learn SAS and Become a Data Ninja·Lesson: Introduction to SAS Predictive Modeling Using Logistic Regression