Statistical Modeling

Statistical Modeling is a quantitative method used to predict or explain data patterns by applying statistical processes. Coursera's Statistical Modeling catalogue equips you with the knowledge and skills to create, interpret, and critique various statistical models. You'll learn fundamental concepts like regression analysis, predictive modeling, probability distribution, hypothesis testing, and Bayesian statistics. This learning will enhance your ability to make data-driven decisions in roles such as data analyst, statistician, economist, machine learning engineer, or any profession requiring strong analytical skills. You'll also explore the use of statistical software tools and packages, making you proficient in applying statistical modeling to real-world problems.
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Explore the Statistical Modeling Course Catalog

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Deep Learning, Data Visualization, Statistical Modeling, Predictive Modeling, Unsupervised Learning, Supervised Learning, Python Programming, Machine Learning Algorithms, Transaction Processing

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Machine Learning Software, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Jupyter

  • Status: New
    Status: Preview

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Methods, Data Visualization, R Programming, Statistical Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytics, Data Analysis, Statistical Hypothesis Testing, Variance Analysis

  • Status: Preview

    University of Washington

    Skills you'll gain: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms

  • Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

  • Status: New
    Status: Free Trial

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

  • University of Colorado Boulder

    Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Probability, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Anomaly Detection, Statistical Inference, Service Level, Performance Testing, Statistical Hypothesis Testing, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Software Engineering, Regression Analysis, Probability & Statistics, Bash (Scripting Language), Data Science

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Predictive Analytics, Databases, Keras (Neural Network Library), Deep Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Image Analysis, Computer Vision

  • Skills you'll gain: Data Ethics, Statistical Hypothesis Testing, Statistical Machine Learning, Regression Analysis, Exploratory Data Analysis, Bayesian Statistics, Statistical Methods, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Planning, Data Visualization, Data Manipulation, Probability, Data Analysis, Statistical Inference, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Dimensionality Reduction, Data Mining, Statistical Modeling, Predictive Modeling, Analytics, Predictive Analytics, Plot (Graphics), Advanced Analytics, Data Analysis, R Programming, Big Data, Business Intelligence, Data Literacy, Data-Driven Decision-Making, Ggplot2, Visualization (Computer Graphics), Scientific Visualization

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