Coursera – Statistical Learning for the Data Science Specialization 2024-5 – Download

Statistical Learning Course for Data Science Specialization. Statistical learning is a very important specialization for those who want to pursue a career in data science or expand their expertise in the field. This program builds on your basic knowledge of statistics and equips you with advanced model selection techniques, including regression, classification, trees, SVM, unsupervised learning, splines, and resampling methods. In addition, you will gain a deep understanding of coefficient estimation and interpretation that will serve you well when explaining and justifying your models to clients and companies. Through this specialization, you will gain the conceptual knowledge and communication skills to effectively communicate the rationale behind your model selection and coefficient interpretations. This specialization can be considered for academic credit toward CU Boulder’s Master of Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from the departments of applied mathematics, computer science, information science, and others at CU Boulder. With merit-based admission and no application process, the MS-DS is ideal for individuals with a broad 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. Applied Learning Project: During this specialization, learners will complete numerous programming assignments designed to help learners master statistical learning concepts, including regression, classification, trees, SVM, unsupervised learning, splines, and example methods. You will complete the review.

• Learn the skills you need from experts from academia and industry
• Master a topic or tool with practical projects
• Develop a deep understanding of key concepts

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Quality: 720p

The 2024/5 version has increased the number of lessons to 9 and the duration to 2 hours and 7 minutes compared to 2023/10.