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McMaster University Continuing Education (MCE) 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, MCE’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. We offer more than 200 courses and workshops that blend both theoretical knowledge and practical application to help you build your skills and expand your career. Areas of focus include Technology, Business, Accounting, Marketing, Health, Social Science, Mindfulness, and Human Resources.
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Talent Acquisition Consultancy - F24
HRM 897 (C22)
Is your organization eager to find and assess top talent? Students in McMaster University’s Human Resources Management program will provide actionable recommendations on talent acquisition, branding, marketing, operations, and planning to help you source candidates for challenging roles.
Artificial Intelligence for Business
DAT 105
This course is part of the Data Analytics certificate program. Students in the programare adult learners with a post-secondary degree/diploma in computer science,engineering, business, etc.This course presents the principles of artificial intelligence (AI) through an exploration ofits history, capabilities, technologies, framework, and its future. AI applications invarious industries will be reviewed through some case examples. Current trends in AIwill be discussed and students will be encouraged to consider the potentials of AI tosolve complex problems. This course will help students to understand the implicationsof AI for business strategy, as well as the economic and societal issues it raises
Statistics for Data Analysis Project
DAT 101
The 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 introduces descriptive statistics, basic inferential statistics, linear regression, and probability concepts and calculations. Practical application activities in the course focus on how statistical methods are used in the analysis of data. Common statistical and programming tools will be introduced and employed in order to demonstrate how significant and insightful information is collected, used, and applied to problem-solving processes.
Transforming Ideas into Web Apps: Empowering Businesses - F24
FDV 103
In today’s era, many individuals and businesses benefit from having an online presence that helps with identity branding and/or to promote their services and products. In this project, students who are on their way to become professional front-end developers will design and develop a variety of web applications that help you satisfy your clients’ business needs. This course is part of the Frontend Development certificate program.