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Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Learn about cybersecurity governance and build your skills to manage threats.
Learn how to monitor and protect your network and evaluate security alerts.
Learn to secure your network all the way to the edge.
Use C++ to dramatically boost the performance of your R code.
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
In this course you'll learn how to use data science for several common marketing tasks.
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Learn to build simple models of market response to increase the effectiveness of your marketing plans.
Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
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