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.
96credentials
2online degrees
375courses

Explore the Predictive Modeling Course Catalog

  • Status: Free Trial

    Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Predictive Modeling, Analytical Skills, Business Analytics, Regression Analysis, Data Analysis, Data Validation, Data Visualization

  • 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: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Supervised Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Data Integration, Medical Imaging, Data Validation, Estimation, Machine Learning Methods, Performance Tuning, Algorithms

  • Status: Free Trial

    Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Data-Driven Decision-Making, Analytical Skills, Business Intelligence, Data Analysis, Forecasting, Trend Analysis, Histogram, Business Ethics, Correlation Analysis, Time Series Analysis and Forecasting, Statistics, Predictive Modeling, Innovation, Sustainable Business

  • Status: Free Trial

    Skills you'll gain: Business Analytics, Regression Analysis, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Data Processing, Predictive Modeling, Machine Learning, Workflow Management, Python Programming, Supervised Learning

  • Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Advanced Analytics, Statistical Programming, Statistical Software, Statistical Visualization, Data Visualization, Data Manipulation, Correlation Analysis, Predictive Modeling, Descriptive Statistics, Statistical Hypothesis Testing

  • Status: Free Trial

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms

  • Status: Free Trial

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

  • Status: Free Trial

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Programming Principles, Data Structures

  • Status: Preview

    Kennesaw State University

    Skills you'll gain: Prompt Engineering, Generative AI, Google Gemini, ChatGPT, Responsible AI, LLM Application, Artificial Intelligence, Communication, Anthropic Claude, Predictive Modeling

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Gain the knowledge and skills you need to advance.

  • This role has a $146,304 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 $146,304 median salary ¹.

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