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.

Coursera

University of Colorado Boulder

Resampling, Selection and Splines (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced statistical learning with our comprehensive course 'Resampling, Selection and Splines'. This expert-led program is designed for professionals aiming to deepen their understanding and application of key concepts in data science. Learn how to leverage resampling methods, optimize model fitting procedures, and explore non-linear models like splines to improve prediction accuracy and interpretability.

Jun 8th 2026

5-12 Weeks

Statistics Selection Data Science

Coursera

University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Jun 1st 2026

4 Weeks

Statistics Regression Neural Networks

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