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Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the follow-up courses, “Statistics and Data Analysis with Excel, Part 2" and "Statistics and Data Analysis with R". All three courses make up the specialization "Statistics and Applied Data Analysis."
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Build production-ready Blender game assets through a practical, end-to-end workflow that connects modeling, topology, UV editing, texturing, and game engine…
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This course is designed for professionals aiming to excel in creating and managing robust security programs that align with organizational goals. You'll star…
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In today's digital age, Data Privacy and Protection Standards are pivotal for organizations across all sectors to safeguard sensitive information, comply wit…
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このコースでは、責任ある AI および AI に関する原則のコンセプトを紹介します。AI / ML の実践における公平性とバイアスを特定し、バイアスを軽減するための実践的な手法を取り扱います。具体的には、Google Cloud プロダクトとオープンソース ツールを使用して責任ある AI のベスト プラクティスを…
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This course guides you through the foundational principles behind neural networks and computer vision systems, focusing on how forward propagation, backpropa…
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This course introduces Python programming and fundamental statistics concepts, equipping learners with essential skills for data-driven roles in tech and AI.…
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Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how t…
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In this culminating course in the Patient Safety and Quality Improvement Specialization, you will apply the skills you have acquired across the previous six…
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This course will give you a glimpse into six different areas of American law: Tort Law, Contract Law, Property, Constitutional Law, Criminal Law, and Civil P…
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This free online course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business…
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