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: Data Ethics, Policy Analysis, Analytical Skills, Case Studies, Data Analysis, Responsible AI, Public Policies, Data Presentation, Data-Driven Decision-Making, Ethical Standards And Conduct, Data Governance, R Programming, Machine Learning, Predictive Modeling

  • 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

    Universidad de los Andes

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

  • Status: Free Trial

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: Control Systems, Mathematical Modeling, Engineering Calculations, Process Control, Automation, Applied Mathematics, User Feedback, Predictive Modeling, Systems Analysis

  • Status: Preview

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

  • Status: Free Trial

    Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Analytics, Relational Databases, Patient Flow, Exploratory Data Analysis, Descriptive Statistics, Predictive Analytics, Predictive Modeling, SQL, Interoperability, Machine Learning

  • Coursera Project Network

    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: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

  • Status: Free Trial

    Duke University

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Financial Forecasting, Predictive Modeling, Finance, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Risk Analysis, Microsoft Excel

  • 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

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Gain the knowledge and skills you need to advance.

  • This role has a $145,280 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 $145,280 median salary ¹.

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