Advanced statistics for proficiency in data science. Master the knowledge and skills to effectively communicate model choices and interpretations.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Learning statistics is an important specialization for those who want to build a career in data science or upgrade their skills in the field. The program builds on your basic knowledge of statistics and equips you with advanced model selection techniques, including:
In addition, you will gain a deep understanding of coefficient estimation and interpretation, which will be valuable when you need to explain and justify your models to clients and companies. Through this specialization, you will develop theoretical knowledge and communication skills that will allow you to clarify the principles behind your model choices and coefficient interpretations.
This specialization is available for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) program offered on the Coursera platform. The MS-DS is an interdisciplinary program that brings together faculty from the following departments:
With performance-based admissions and no application process, the MS-DS is suitable for individuals with a broad background in mathematics, statistics, computer science, or information science. For more information about the MS-DS program, visit the Coursera website.
During the internship, learners will perform numerous programming tasks designed to help them master the concepts of learning statistics, including:
