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Learn to write SAS programs for data access, exploration, preparation, and analysis. Covers SAS Studio, data handling, SQL queries, and exporting results. Essential for data science and machine learning with SAS.
Enhance SAS programming skills for data manipulation, analysis, and reporting. Learn advanced techniques for data processing, custom formatting, table operations, and code optimization.
Comprehensive guide to implementing machine learning in business operations, covering applications, project management, data preparation, and ethical considerations for leaders and data scientists.
Explore machine learning's business impact, data requirements, predictive modeling techniques, and ethical considerations. Learn to deploy ML effectively for various applications like fraud detection and marketing optimization.
Explore machine learning's technical aspects, from foundational principles to advanced methods. Learn to avoid pitfalls, interpret models, and evaluate performance while gaining insights into cutting-edge techniques and ethical considerations.
Enhance SAS programming skills through practical problem-solving and comprehensive review, preparing for the SAS Certified Specialist exam with hands-on exercises and real-world case studies.
In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio.
In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.
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.
Learn to query, manipulate, and analyze data using SQL in SAS. Master essential techniques for data retrieval, table joins, subqueries, and accessing external databases to enhance your data management skills.
In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics.
In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.
In this course, you learn about the data structure needed for network, path, and text analytics and how to create network analysis, path analysis, and text analytics in SAS Visual Analytics.
Explore time series data analysis techniques including binning, smoothing, transformations, spectral analysis, and motif detection to create effective features for advanced analytics and modeling.
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