In an increasingly competitive consumer marketplace, decisions around adding new products and services are more important to a company’s success than ever. Students in the Marketing program at McMaster University’s Centre for Continuing Education will research and prepare a report for your company that recommends a new product or service and/or plans its launch.

Would you like a deeper understanding of how your competitors appeal to consumers & potential customers in your market – and how your offering(s) sits within the range of consumer appeals in this category? Gain insights from student research and analysis as teams identify/analyze the key consumer wants & needs that the offerings in your category meet, reveal how your competitors attract and keep customers, and propose how this knowledge can be used to build your business.

This course covers advanced-level topics in the areas of data science, machine learning, and technical/software applications. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. They will practice their knowledge of using various technologies as part of the course, such as real-time analytics tools (e.g., Kafka and HBase), NoSQL databases, and cloud technologies. Students will apply analytical models, methodologies, and tools learned in the program to create an analytics solution for your organization, with support from faculty mentors, who will work with students.

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. Students learn how to collect, manage, analyze, and visualize data to deliver clear business insights from raw data sources. This course will cover the Hadoop ecosystem as it is a primary platform for any other tools like Spark or Kafka. This course also covers an example of NoSQL, such as Cassandra which is suited for distributed computing. Emerging tools and technologies may be presented as applicable to course content.