This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course offers an introduction to data science and machine learning paving the way for students to learn data analytics principles. In particular, this course begins with a brief history of data analytics and data science, followed by regression analysis, regression and classification trees, and ends with introductions to K-means clustering, principal component analysis (PCA). Each lecture has associated with it a practical lab session in which students will put "theory into practice" offering students a hands-on approach to learning the material.

McMaster University Continuing Education has inspired people to discover and achieve through lifelong learning since 1931. As one of Canada’s largest and leading providers of academic certificate and diploma programs, professional development education, and corporate training, McMaster Continuing Education’s purpose is to develop and realize the potential of both individuals and society by providing the education to thrive in a dynamic world. Our team is approachable, professional, and passionate. McMaster Continuing Education is working with Advance Ontario to provide eligible students internship opportunities to help develop real-world, in demand skills. Internships are hosted remotely with Ontario employers who are eager to mentor the next generation of talent.  We are sourcing open projects that fit the skillset and interests of our Continuing Education students. Our students are enrolled in a variety of programs including, but not limited to, Business Administration, Marketing, Communications, Technology, Health and Human Resource Management. By matching with Advance Ontario: McMaster Continuing Education, your projects will be open for our students to apply to. Powered by Riipen, the world's leading online work-based learning marketplace, students are paid $1400 by Riipen to complete projects each spanning 80 hours over 2-8 weeks.  Each student is eligible to complete one project, if accepted by the employer.

In the race for top talent, is your organization eager to find and assess high quality candidates? In this project, continuing education students in McMaster University’s Human Resources Management program will provide actionable recruitment and selection recommendations that you can apply to source talent for even the most difficult roles to hire.

This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course explores the importance of managing data as an enterprise asset and the processes and components required in terms of the acquisition, storage, sharing, validation and accessibility of data for addressing business problems. An examination of Database Management Systems, database architectures (structured and non-structured) the differences between OLTP (Online transaction processing) OLAP (online analytical processing) as well as the administrative processes (Data Governance) that guide the data lifecycle will be a focus.