Data Science: Data to Insights

By engaging in comprehensive lectures from our MIT IDSS faculty members, you’ll acquire the theories, strategies, and tools you need to convert gigabytes of data into meaningful insights. Over the course of six weeks, you will review a broad spectrum of topics including recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, and machine learning. After completing this course, you will be well prepared to: Uncover unexpected patterns and anomalies in your data Determine what data you need and how to design experiments Use foundational and emerging analytics techniques Understand common pitfalls in big data analytics and how to avoid them Comprehend how machine learning works in practice Interpret model results and make more effective decisions Overcome the challenges and constraints associated with scaling big data algorithms You…

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