Course Description

The Recommender Systems Specialization, offered in partnership with the University of Minnesota, is designed for individuals looking to gain a deeper understanding of the field of recommender systems. This specialization will provide you with the skills and knowledge needed to excel in this rapidly growing field. With a rating of 4.3 stars and over 811 reviews, this specialization has been highly praised by students for its comprehensive and practical approach. Throughout the courses, you will learn essential skills such as data analysis, basic descriptive statistics, probability and statistics, machine learning, applied machine learning, natural language processing, and more. This specialization is designed for intermediate learners who have a basic understanding of statistics and programming. It is recommended that students have a working knowledge of statistical analysis and programming languages such as R or Python. Over the course of 3-6 months, you will gain a deep understanding of how recommender systems work and how they can be applied in real-world scenarios. You will also learn about the importance of collaboration