Coursera MOOC / Non-credit 0

Statistical Learning for Data Science

Name: Statistical Learning for Data Science
Price: 49 USD
Availability: InStock

University of Colorado Boulder

About this course

Statistical Learning is a crucial specialization for those pursuing a career in data science or seeking to enhance their expertise in the field. This program builds upon your foundational knowledge of statistics and equips you with advanced techniques for model selection, including regression, classification, trees, SVM, unsupervised learning, splines, and resampling methods. Additionally, you will gain an in-depth understanding of coefficient estimation and interpretation, which will be valuable in explaining and justifying your models to clients and companies. Through this specialization, you will acquire conceptual knowledge and communication skills to effectively convey the rationale behind your model choices and coefficient interpretations. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

90/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

model selection techniques
regression models
classification methods
support vector machines (SVM)
unsupervised learning techniques
spline methods
resampling methods
coefficient estimation and interpretation

Course objectives

to enhance statistical knowledge for data science
to equip learners with advanced model selection techniques
to develop effective communication skills for explaining model choices

Machine Learning #regression #classification #communication skills #unsupervised learning #data science #model selection #statistical learning #support vector machines #spline methods #coefficient interpretation

$49.00

Price shown by Coursera — confirm on their site.

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