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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Explore the Predictive Modeling Course Catalog

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Marketing Analytics, Sales Strategy, Customer Analysis, Marketing Strategies, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Digital Advertising, Regression Analysis, Market Research, Statistical Analysis, Target Market, Pandas (Python Package), Predictive Modeling, Key Performance Indicators (KPIs), Decision Tree Learning, Artificial Neural Networks

  • Status: Free Trial

    Coursera Instructor Network

    Skills you'll gain: Legal Risk, Legal Technology, Compliance Management, Data Ethics, Responsible AI, Risk Management, Risk Mitigation, Artificial Intelligence, Legal Research, Generative AI, Mitigation, Business Workflow Analysis, Ethical Standards And Conduct, Analysis, Innovation, Predictive Modeling, Natural Language Processing

  • Status: Free

    Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

  • Coursera Instructor Network

    Skills you'll gain: Salesforce, Customer Relationship Management, Customer Relationship Management (CRM) Software, Responsible AI, Salesforce Development, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Customer Data Management, Business Process Automation, Automation, Analytics, Data-Driven Decision-Making, Predictive Modeling

  • Status: New
    Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Text Mining, Data Processing, Data Cleansing, Predictive Modeling, Python Programming, Data Analysis, Analysis, Algorithms, Integrated Development Environments

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

  • Skills you'll gain: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling

  • Status: Preview

    Skills you'll gain: Digital Transformation, Business Transformation, Goal Setting, Predictive Modeling, Organizational Change, Change Management, Action Oriented, Strategic Thinking, Innovation, Emerging Technologies, Decision Making

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming

  • Skills you'll gain: Generative AI, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Artificial Intelligence, Predictive Modeling, Cloud Infrastructure, Machine Learning, Natural Language Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Analytics, Feature Engineering, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Performance Analysis, Case Studies, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Project Implementation

  • Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Big Data, Cloud Infrastructure, MLOps (Machine Learning Operations), Machine Learning, Natural Language Processing, Predictive Modeling

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  • 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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