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

    Skills you'll gain: AWS Identity and Access Management (IAM), Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Amazon S3, Key Management, Data Integration, Predictive Modeling, Data Cleansing, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

  • 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

  • Status: Preview

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling, Data Quality

  • 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: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Google Cloud Platform, Data Management, Workflow Management, Predictive Modeling, Machine Learning, Data Pipelines, Continuous Monitoring

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

  • 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

  • Skills you'll gain: Generative AI, Data Wrangling, Project Planning, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Visualization, MLOps (Machine Learning Operations), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML)

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

  • Status: New
    Status: Preview

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

  • Skills you'll gain: Google Gemini, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, SQL, Google Cloud Platform, Jupyter, Business Workflow Analysis, Big Data

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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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