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Master machine learning fundamentals, model deployment, and ModelOps using SAS Viya with hands-on projects and industry-recognized certification preparation.
Aprenda a aplicar métodos estatÃsticos para resolver problemas industriais reais, desde análise exploratória de dados até modelagem preditiva e mineração de texto.
Master advanced SAS techniques: data manipulation, pattern matching, arrays, hash objects, custom functions, and more. Enhance your programming skills for efficient data processing and analysis.
Enhance SAS programming skills through practical problem-solving, preparing for the SAS Certified Specialist exam with real-world data analysis and comprehensive review.
Develop predictive models using logistic regression in SAS. Learn variable selection, data preparation, model assessment, and handling missing values for effective analysis of large datasets.
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Explore time series analysis, create features, build forecasting systems, and model sequential data using SAS tools. Master techniques for large-scale data projects and predictive modeling.
Explore the SAS Viya platform and learn how to transform data into insights, build predictive models, and automate decisions across the full data and AI lifecycle.
Explore SAS Viya's programming capabilities, mastering CAS-enabled analytics, in-memory processing, and multi-language integration with Python, R, SQL, and REST APIs for scalable data workflows.
Discover how SAS and Microsoft Azure work together to transform data into decisions, addressing siloed teams and disconnected tools through seamless integration, responsible AI, and enterprise-grade cloud analytics.
Develop data manipulation and analysis skills using SAS, preparing for Base Programming Specialist certification through hands-on practice with real-world scenarios.
Learn to access, analyze, and visualize data using SAS Visual Analytics. Develop skills in interactive reporting, dashboard design, and advanced analytics techniques for various business and research applications.
Master SAS certification readiness with three practice exams covering applied statistics, machine learning using Viya, and ModelOps for comprehensive exam preparation.
Discover essential statistical concepts for machine learning, from linear and logistic regression to model selection and diagnostics, bridging traditional statistics with modern data science.
Master model lifecycle management from creation to deployment, including governance, testing, monitoring, and automated scoring across SAS, Python, and R environments.
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