Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems.
About this Course
Skills you will gain
- 5 stars48.22%
- 4 stars32.03%
- 3 stars10.03%
- 2 stars5.50%
- 1 star4.20%
TOP REVIEWS FROM PRACTICAL PREDICTIVE ANALYTICS: MODELS AND METHODS
This course helpemd me understand more about machine learning and a set of tools to help with the same.
Very nice assignments and content. You learn a lot when you complete all assignments.
The topic the professor covers are awesome. Going from statistics to machine learning is something very awesome about this course
Its Hard! but AWESOME, some much info packed in a few lectures!
About the Data Science at Scale Specialization
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