Statistics for Data Analysis Project - W25
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.
Data Analysis and Visualization - W25
DAT 104
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. The students learn how to perform exploration of data in order to discover meaningful information to solve problems, and will allow for the application of analytics life cycle in the context of planning to solve a business problem. Emphasis is placed on framing the problem, proposing an analytics solution, communicating with stakeholders, and establishing an analytics-focused project plan. Common data visualization tools and techniques are explored and used as students learn best practices for the presentation and communication of analytical solutions and insights.
Data Analytics and Modelling - W25
DAT 201
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.
Data Management - Winter 2025
DAT 202
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.
Machine Learning for Big Data Analytics - W25
DAT 301
This course is part of the Big Data Programming and Analytics certificate programs. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course builds on the fundamental principles of data analytics, this course advances to modern machine learning techniques such as neural network, deep learning, and reinforcement learning as well as NLP and text analysis. Application activities are structured to provide an introductory level of how machine learning techniques are applied to big data analytics.
Essentials of Cloud Computing - Winter 2025
DAT 304
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 will explore the principles and practices of cloud computing with this introductory course, and discover the importance of cloud computing for today’s business and IT sectors through an examination of the development of cloud technologies over time. Common practices for delivery, deployment, architecture and security will be presented. Students will explore various cloud computing platforms to understand and assess current service options and to discuss future developments for cloud computing -- The project provides an opportunity for businesses and learners to collaborate to identify and translate a real business problem into an analytics problem. The projects, which can be short, will allow the student to apply the skills acquired on to address the business problem. Some examples are: Determine the characteristics of the collection system and select a collection system that handles the large data set Identify the right storage solution for analytics Design and implement a solution for transforming and preparing data for analysis Select the right data analysis and data visualization solution for a given scenario Apply the right authentication and authorization mechanisms Apply data protection and encryption techniques Manage and monitor data solutions You should submit a high-level proposal/business problem statement including relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Business datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and business problem. The course instructors will review the documents to confirm the scope and timing of the proposed problem and its alignment with the course requirements.
Big Data Programming and Architecture Capstone - Winter 2025
DAT 305
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.
Training and Development Consultancy - W25
HRM 902 (C22)
How long does it take your new employees to start adding value? How well are your current employees doing on the job? Can your organization do more to support the training & development of your employees? In this project, students in the McMaster University Centre for Continuing Education Human Resources Management program will provide actionable training & development recommendations, processes, or high-level design to enhance the performance of both new and experienced employees.
Training and Development Consultancy - W25
HRM 902 (C21)
How long does it take your new employees to start adding value? How well are your current employees doing on the job? Can your organization do more to support the training & development of your employees? In this project, students in the McMaster University Centre for Continuing Education Human Resources Management program will provide actionable training & development recommendations, processes, or high-level design to enhance the performance of both new and experienced employees.
Talent Acquisition Consultancy - W25
HRM 897 (C22)
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.
Talent Acquisition Consultancy - W25
HRM 897 (C21)
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.
Digital Marketing Strategy - Winter 2025
DMK 102
This semester students working in small groups will apply their knowledge in digtial marketing strategy to help your organization seize a marketing opportunity, develop a strategic digital marketing plan, or solve a current digital marketing challenge.The students will consider marketing research, strategy, digital promotional tools and marketing best practices to create a plan, report and presentation.
Data Analytics and Modelling - F24
DAT 201
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.
Level UP: McMaster Continuing Education (August - December 2024)
McMaster University Continuing Education has been inspiring lifelong learning since 1931. As one of Canada’s largest providers of academic certificates, diplomas, professional development, and corporate training, its mission is to help individuals and society thrive in a dynamic world. McMaster Continuing Education is partnering with Level UP to provide eligible students internship opportunities to help develop real-world, in demand skills. Internships are hosted with Canadian employers who are eager to mentor the next generation of talent. Powered by Riipen, the leading online work-based learning marketplace, students are paid $1400 by Riipen for each 60-hour project completed over 2-8 weeks . Students can complete up to three projects if accepted by the employer. For McMaster Students: Your program coordinators will provide you with an eligibility form to sign up for the experience. If eligible, you will be placed on our waitlist. Students will be invited into the experience from the waitlist periodically during the Summer and Fall semesters. For Employers: Request to match your project HERE . You can match up to 2 projects per company. Students will begin applications in August and September. You must select and accept applications for 1-5 teams per project. Ensure that you are regularly communicating with the students so that they can meet their deadline to submit their final deliverables. *Note that this experience is limited to 50 spots. Once 50 matches are made, the experience will close to applications.
Marketing New Products for a Consumer Brand
MKT 101
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.
Business to Business Marketing Strategy
MKT 107
NOTE: THIS IS A COURSE/PROJECT FOR COMMERCIALLY VIABLE BUSINESSES NOT START-UPS OR HOME BASED BUSINESSES WITH LIMITED OR NO MARKETING IN PLACE. IF YOU HAVE A COMMERCIALLY VIABLE BUSINESS WITH EMPLOYEES AND ARE INVESTING IN MARKETING I'D LOVE TO HEAR FROM YOU. THANK YOU Attracting new customers and retaining existing ones are the key to a successful business but often not easy to do in this hyper-competitive business world. Marketing plays a key role in the customer management process to help a business achieve its growth objectives. In this project, students from McMaster University’s Centre for Continuing Education will analyze your organization’s current business to business marketing strategy and make recommendations on how to improve your results.
Content Marketing Strategy F24
DMK 104 (C21)
Does your brand need a new content marketing strategy? In this project, continuing education students in McMaster University’s Digital Marketing Certificate program will provide an actionable content marketing strategy that you can apply to amplify your brand and build engagement on online channels such as blogs, Facebook, Instagram and more. Corporate organizations, non-profit organizations, startups, and small businesses are welcome partners.
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.
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.
Training and Development Consultancy - F24
HRM 902 (C22)
How long does it take your new employees to start adding value? How well are your current employees doing on the job? Can your organization do more to support the training & development of your employees? In this project, students in the McMaster University Centre for Continuing Education Human Resources Management program will provide actionable training & development recommendations, processes, or high-level design to enhance the performance of both new and experienced employees.
Training and Development Consultancy - F24
HRM 902 (C21)
How long does it take your new employees to start adding value? How well are your current employees doing on the job? Can your organization do more to support the training & development of your employees? In this project, students in the McMaster University Centre for Continuing Education Human Resources Management program will provide actionable training & development recommendations, processes, or high-level design to enhance the performance of both new and experienced employees.
Talent Acquisition Consultancy - F24
HRM 897 (C21)
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.
Competitor and Market Analysis of Consumer Appeals - F24
MKT 102
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.
Training and Development Consultancy - Spring/Summer 2024
HRM 902 (C22)
How long does it take your new employees to start adding value? How well are your current employees doing on the job? Can your organization do more to support the training & development of your employees? In this project, students in the McMaster University Centre for Continuing Education Human Resources Management program will provide actionable training & development recommendations, processes, or high-level design to enhance the performance of both new and experienced employees.
Talent Acquisition Consultancy - Spring/Summer 2024
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.
Marketing New Products for a Consumer Brand - Spring/Summer 2024
MKT 101
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.
Digital Marketing Strategy - Spring/Summer 2024
DMK 102
This semester students working in small groups will apply their knowledge in digital marketing strategy to help your organization seize a marketing opportunity, develop a strategic digital marketing plan, or solve a current digital marketing challenge. The students will consider marketing research, strategy, digital promotional tools and marketing best practices to create a plan, report and presentation.
Data Programming
DAT 303
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 is designed to present the fundamental concepts and theories in Data Analytics and promote the application to the workplace and professional practice. Students begin with an exploration of MongoDB which is a document database with scalability and flexibility for queries and indexing, and progress to the ELK stack – a technology stack used for logging with different components, such as Elasticsearch, Logstash, and Kibana. Course activities will include instructor presentations, required readings and experiential learning activities (i.e. case studies, group discussions, projects, etc.).
Predictive Modelling and Data Mining - Spring 2024
DAT 203
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. The course will introduce predictive modeling techniques as well as related statistical and visualization tools for data mining. The course will cover common machine learning techniques that are focused on predictive outcomes. Students will learn how to evaluate the performance of the prediction models and how to improve them through time.
Data Management - Spring 2024
DAT 202
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.