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: Preview

    Skills you'll gain: Loyalty Programs, Customer Relationship Management (CRM) Software, Customer Retention, Customer Success Management, Sales Management, Marketing Automation, Marketing Strategies, Business Development, Performance Management, Performance Measurement, Data-Driven Decision-Making, Predictive Modeling

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Technical Analysis, Portfolio Management, Investments, Financial Forecasting, Financial Trading, Financial Analysis, Financial Market, Financial Modeling, Analytics, Capital Markets, Time Series Analysis and Forecasting, Statistical Analysis, Market Trend, Securities Trading, Applied Machine Learning, Equities, Predictive Modeling, Risk Management, Performance Analysis, Risk Analysis

  • Status: Preview

    Skills you'll gain: Bioinformatics, Markov Model, Biostatistics, Life Sciences, Molecular Biology, Computational Thinking, Biology, Data Processing, Predictive Modeling, Database Software, Algorithms

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Classification And Regression Tree (CART), Fraud detection, Machine Learning, Correlation Analysis, Scatter Plots, Market Analysis, Supervised Learning, Cross Selling

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Inventory Management System, Inventory Management, Demand Planning, Matplotlib, Inventory Control, Predictive Modeling, Forecasting, Exploratory Data Analysis, Predictive Analytics, Data Visualization, Pandas (Python Package), Data Analysis, Statistical Modeling, Data Wrangling, Data Manipulation, Data Transformation, Machine Learning

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Supervised Learning, Predictive Modeling, Visualization (Computer Graphics), Data Validation, Performance Tuning

  • Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

  • Status: Preview

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

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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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