Statistical Learning for Data Science Specialization

Advanced Stats for Data Science Mastery. Master knowledge and skills to communicate model choices and interpretations effectively
What you'll learn:
Express why Statistical Learning is important and how it can be used.
Explain the pros and cons of certain models in certain situations.
Apply many regression and classification techniques.

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Trees, SVM and Unsupervised Learning (Coursera)

"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks, decision trees, and XG boost. Through in-depth instruction and practical hands-on experience, you will learn how to build powerful predictive models using these techniques and understand the advantages [...]

Resampling, Selection and Splines (Coursera)

"Statistical Learning for Data Science" is an advanced course designed to equip working professionals with the knowledge and skills necessary to excel in the field of data science. Through comprehensive instruction on key topics such as shrink methods, parametric regression analysis, generalized linear models, and general additive models, students [...]