DAT203-1 - Data Science Essentials

Sat, 24 Jun 2017 00:00:00 +0000

Data Science Essentials (DAT203) marks the point where we have enough foundation that we can start forming a bigger picture of data science. To that goal, the course provides this definition:

Data Science is the exploration and quantitative analysis of all available structured and unstructured data to develop understanding, extract knowledge, and formulate actionable results.

Cynthia Rudin and Steve Elston are co-presenters in this entertaining, informative and well-organized course. Both are really effective instructors, with quite different teaching styles.

Cynthia covers the more theoretical topics including a fair bit of concepts relating to statistics. She is an entertaining presenter. A lot of personality and practical examples come through her presentations. She provides specific data science example project from her university lab, one of which concerns predicting manhole fires in Manhattan.

DAT203.2 - Principles of Machine Learning

Sat, 24 Jun 2017 00:00:00 +0000

Principles of Machine Learning (DAT203.2) is the 7th in a series of 10 courses that form the Microsoft Professional Program in Data Science. It proves that the further you get into this 10-course sequence, the more enjoyable the classes become. Similar to Data Science Orientation, this class is co-led by Cynthia Rudin and Steve Elston.

Principles of Machine Learning
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The lecture is composed of 60 videos spanning 8 hours lecture time. Watching them and working the exercises reveals the true practical value of the data science tools. This course forces you to genuinely harness the Azure Machine Learning environment with Python or R scripts. All told, this course required about 30 hours to complete.

Azure Machine Learning on DataBaselines

DAT203-1 - Data Science Essentials

DAT203.2 - Principles of Machine Learning

Principles of Machine Learning #

Principles of Machine Learning
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