This certificate program in Computational Thinking equips learners with essential skills for tackling complex problems through abstraction and decomposition. Participants will explore a structured approach to understanding algorithms, essential data handling concepts, and the limitations of contemporary computing systems. By the end of the course, students will be adept at applying computational thinking principles to real-world challenges, enhancing their problem-solving capabilities in various domains.
Course Content
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Introduction to Computational Thinking and Data Science | Graph Problems | Finding the Shortest Path
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Introduction to Computational Thinking and Data Science | Stochastic Thinking | Stochastic Processes
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Introduction to Computational Thinking and Data Science | Inferential Statistics | Variation in Data
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Introduction to Computational Thinking and Data Science | Sampling and Standard Error | Sample Sizes
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Intro to Computational Thinking Data Science | Experimental Data | Model Predictions and Overfitting
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Introduction to Computational Thinking and Data Science | Statistical Fallacies | Texas Sharpshooter
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Intro to Computational Thinking and Data Science | Statistical Fallacies | Correlation and Causation
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Final Exam – Mastering Computational Thinking
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