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
Its a great review course. Prior knowledge is necessary
I enjoy this course. The delivery and the course topics were very interesting. I learnt a lot and peer reviewing other people assignments is a great learning opportunity .
More dynamic visualisation please, and it will be 5*.
A quick overview of technology terms used for Machine Learning, and gentle introduction into learning through Kaggle.
About the Data Science at Scale Specialization
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