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.
51credentials
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Explore the Statistical Modeling Course Catalog

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Business Analytics, Data Mining, Descriptive Analytics, Plot (Graphics), Dimensionality Reduction, Visualization (Computer Graphics), Big Data, Data Management, Statistical Modeling, Data Visualization, Data-Driven Decision-Making, Data Visualization Software, Predictive Modeling, Statistical Methods, Data Modeling, Analytics, Advanced Analytics, Statistical Visualization, Predictive Analytics, Forecasting

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    Mastertrack · 6 - 12 Months