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New Courses Offering
by System Administrator - Friday, 22 June 2018, 10:29 AM
Openstack e-Learning is offering new courses in Data Science and Computer Science starting August 1, 2018. New students are encourage to register before July 15, 2018 as seats are limited

Available courses

Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks. This is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.

This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative techniques. Designed to serve both the data mining expert and the data literate marketing professional, the courses offer interactive, spreadsheet-based exercises to master different algorithms along with an honors track where learners can go into greater depth using the LensKit open source toolkit. A Capstone Project brings together the course material with a realistic recommender design and analysis project.