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: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Mathematical Modeling, Probability & Statistics, Data Validation, Statistical Hypothesis Testing, Probability

  • Skills you'll gain: Demand Planning, Customer Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Data Analysis, Predictive Modeling, R Programming, Data Visualization

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

  • Status: Free

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Revenue Management, Forecasting, Business Strategy, Demand Planning, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Electocardiography, Machine Learning Methods, Artificial Neural Networks, Data Processing, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling

  • Status: Free Trial

    Skills you'll gain: Generative AI, Data Ethics, Data Analysis, Data-Driven Decision-Making, Responsible AI, Data Literacy, Artificial Intelligence, Big Data, Predictive Modeling, Machine Learning, Media and Communications

  • Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Sampling (Statistics), Data Mining, Data Integration, Database Management, Workflow Management, Complex Problem Solving

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Dimensionality Reduction

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Collection, Applied Machine Learning, R Programming, Research, Supervised Learning, Data Validation, Technical Communication, Python Programming

  • Skills you'll gain: Salesforce Development, Salesforce, Artificial Intelligence, Responsible AI, AI Personalization, Data Quality, Predictive Modeling, Data Management, ChatGPT, Customer Relationship Management, Generative AI, Data Cleansing, Customer Engagement

  • Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

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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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