Deriving Knowledge From Data at Scale

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Course Details

This course can only be taken as part of the Certificate in Data Science.

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About this Course


This course builds on what you’ve learned so far about the structuring and manipulation of data and core statistical and machine learning techniques and teaches you about the machinery used to leverage those techniques in scenarios that data scientists typically face. Students are asked to apply the course content to real-life scenarios and think creatively as well as critically through issues. By the end of the class, you’ll be able to attack data science questions impacting your business, establish robust tests of data-driven hypotheses and generate meaningful and reliable findings and communicate them clearly.

Topics include:

  • Motivation and applications of machine learning
  • Supervised and unsupervised learning
  • Data preparation and feature engineering
  • Linear and non-linear learning models
  • Classification, clustering and dimensionality reduction
  • Decision trees, random forest and boosted decision trees
  • Neural networks and deep learning
  • Support vector machines