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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.
Aprenda a modelar séries temporais e dados sequenciais usando abordagens tradicionais, bayesianas e de aprendizado de máquina. Explore técnicas avançadas de previsão e combine diferentes métodos para melhorar a precisão.
Explore advanced SAS programming techniques, including macro variables, functions, and data-driven applications. Learn to automate and customize code production for efficient data manipulation.
Comprehensive review and practice for SAS programming certification, covering data preparation, analysis, and advanced techniques through lectures, readings, and hands-on exercises.
Explore four critical yet often overlooked machine learning skills: uplift modeling, accuracy fallacy, p-hacking, and ensemble models. Gain essential conceptual knowledge for successful data science projects.
Master machine learning fundamentals, model deployment, and ModelOps using SAS Viya with hands-on projects and industry-recognized certification preparation.
Explore machine learning techniques using SAS Viya, covering data preparation, model training, and deployment through hands-on exercises and a comprehensive business case study.
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.
Learn practical skills to explore and visualize data, following a small business owner's journey. Gain abilities to prepare data, conduct analysis, and share insights using visualizations, suitable for beginners.
Develop and maintain large-scale forecasting projects using SAS Visual Forecasting. Learn data creation, variable transformations, model generation, selection, and performance improvement techniques for time series analysis.
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.
Discover responsible AI practices, ethical decision-making, and generative AI techniques using SAS for trustworthy business innovation and system design.
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