Visualizing and Describing Data
Compare visualization tools, design effective data collection, validate data quality, and interpret results with descriptive statistics using SAS-Viya and Python.
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Professional AI capability courses delivered through our partner Matrix TRC. Browse the archive below and enroll on their platform.
Courses delivered by our partner Matrix TRC.
Course archive
Explore professional AI courses
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Statistical Data Analysis
Design smart data collection processes, choose sampling methods, validate data quality, and apply descriptive statistics to interpret results effectively.
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Supervised Machine Learning
Build predictive models from labeled data using SAS, Alteryx, STATISTICA, and Python to support accurate, data-driven decisions.
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Unsupervised Machine Learning
Uncover hidden patterns with PCA and clustering, define market niches, and apply unsupervised techniques across practical business contexts.
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Deep & Generative Deep Learning
Hands-on exploration of GANs, VAEs, diffusion models, and sequential networks for generative AI applications in media, healthcare, and analytics.
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Natural Language Processing
Learn how machines understand and generate language through embeddings, transformers, and LLMs — applied in a practical no-code AI workflow.
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Forecasting Models from A to Z
Master forecasting methods from basic models through advanced techniques, quality indicators, and model selection for reliable near-future predictions.
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Statistical Quality Control
Comprehensive SQC training covering SPC, process capability analysis, and design of experiments for consistent product and process quality.
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Data Management and SQL
Govern, unify, and access data across sources with practical data management, SQL, warehousing, and governance strategies for business decisions.
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Agentic AI
Design, build, test, and improve AI agents under the structured DMAIC framework — covering the full agent development lifecycle from definition to control.
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