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: Model Evaluation, Forecasting, Trend Analysis, Statistical Visualization, Spreadsheet Software, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Analysis, Plot (Graphics), Predictive Modeling, Data-Driven Decision-Making, Data Analysis

  • Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Model Training, Cloud Deployment, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

  • Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics

  • Skills you'll gain: Plotly, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Plot (Graphics), Financial Forecasting, Model Evaluation, Forecasting, Applied Machine Learning, Financial Analysis, Data Visualization, Google Sheets, Equities, Machine Learning, Data Import/Export