McMaster University Continuing Education

Hamilton, Ontario, Canada

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

Hamilton, Ontario, Canada

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

Hamilton, Ontario, Canada

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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

This course is part of the Big Data Programming and 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.).

My learners are equipped to tackle projects in machine learning and statistical learning, having gained proficiency in Python and R. They have engaged with several hands-on courses covering machine learning, statistical data analysis, SQL and database management, Tableau dashboard creation, data engineering, and big data. I am seeking internship projects that will help them apply their skills as part of their data science master’s program. Please note that learners will register for their internship between May and August 2025. If you wish to start working with them during this period, it would be ideal.

Please read the details of the link below completely and follow the steps specified there to submit proposals. Given the high number of requests, requests submitted on Riipen will not be reviewed. All details and questions are discussed in the document below. Program Overview and Partnership Invitation Document This program has been run for 17 cohorts over 7 years and with 200+ partners. We work with 30+ partners every term. We will not be able to respond to messages on Riipen. Quick summary: students take this course to develop a software application (web, mobile or desktop) for various use cases. Previous examples include mobile apps for finding travelers in a specific community and web-based application for connecting a non-profit to volunteers. If the project information interests you, please go through the steps mentioned in the document. After reviewing 300+ proposals, we have created a thorough process to streamline the process for all involved. We will not be able to accept requests on Riipen as the proposals need to be chosen by the students when the term begins.

This experience is designed for learners in a management skills course, focusing on the practical application of leadership, decision making, negotiation, goal setting, and team building. Participants will have the opportunity to apply these skills in real-world scenarios, enhancing their ability to lead teams, make informed decisions, and negotiate effectively. By engaging in projects that require strategic planning and collaboration, learners will bridge the gap between theoretical knowledge and practical application, preparing them for future leadership roles.

Looking to elevate your organization, and bring it to the next level? Bring on learners from the Engineering Science Electrical and Computer Engineering capstone course at the University of Toronto to be your learner-consultants, in a project-based design experience. Learners will work on one design design cycle of a project over the experience of the semester, connecting with you as needed with virtual communication tools.