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Enhance SAS programming skills for data manipulation, analysis, and reporting. Learn advanced techniques for data processing, custom formatting, table operations, and code optimization.
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.
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.
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.
Gain expertise in SAS programming, SQL, macro language, and advanced data manipulation techniques. Prepare for the SAS Advanced Programming Professional certification exam.
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.
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.
Enhance predictive and statistical modeling skills to drive data-informed business outcomes. Learn hypothesis testing, regression modeling, and logistic regression using SAS software.
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.
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 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.
Develop practical skills in cloud computing with Microsoft Azure and SAS Viya analytics, preparing for entry-level data, analytics, and cloud roles through hands-on projects and real-world applications.
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