What You will Learn in SAS Foundations of Data & AI Certification Course
Introduction to Analytics & AI (2 hours)
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Responsible Innovation and Trustworthy AI (7 hours)
âś” Explain how trustworthy AI integrates with the AI and analytics life cycle and the data supply chain.
âś” Identify unwanted biases throughout the AI and analytics life cycle.
âś” Define and apply principles of responsible innovation (human-centricity, inclusivity, accountability, privacy and security, robustness, transparency).
âś” Identify how SAS technologies address bias and innovate responsibly.
Foundational Programming for Data Analysis Using SAS (SAS Programming 1: Essentials)
âś” Use SAS Studio and SAS Enterprise Guide to write and submit SAS programs.
âś” Access SAS, Microsoft Excel, and text data.
âś” Explore and validate data, including filtering rows, formatting columns, sorting, and removing duplicates.
âś” Prepare data by subsetting rows and computing new columns.
âś” Analyze and report on data, creating frequency and summary statistics reports.
âś” Export data and results to Excel, PDF, and other formats.
âś” Use SQL in SAS to query and join tables.
Advanced Data Preparation and Transformation Techniques (SAS Programming 2: Data Manipulation Techniques)
âś” Understand and control DATA step processing.
âś” Create accumulating columns and process data in groups.
âś” Manipulate data with numeric, date, and character functions, including converting column types.
âś” Create and use custom formats.
âś” Concatenate and merge tables.
âś” Process repetitive code using DO loops.
âś” Restructure tables using the DATA step and TRANSPOSE procedure.
Fundamentals of Statistics (Introduction to Statistical Concepts)
âś” Examine data distributions and assess normality.
âś” Obtain and interpret sample statistics using UNIVARIATE and MEANS procedures.
âś” Construct confidence intervals.
âś” Perform simple tests of hypothesis.
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