Project information
WatSPEED provides professional education designed to support the workforce of the future. Programs enable industry professionals to keep pace with emerging technologies and understand their impact on businesses, economies, the environment, and societies. Waterloo is at the forefront of an innovative approach to lifelong learning, helping the leaders of today and tomorrow navigate an ever-changing environment.
Overview
Python I is the perfect course for beginners and professionals looking to enter new industries or advance their careers. This course will help learners develop a valuable skill set that is applicable and can be applied broadly in fields such as web development, data science, artificial intelligence, machine learning, automation, and more.
Course details
- The course will run for eight weeks. The theory sections will be delivered asynchronously through the WatSPEED LMS, prefaced by a warmup quiz and ending with a wrap up quiz for each module. Monitoring progress and providing feedback when required on these learning activities is expected. Virtual office hours of 1 hour a week to support learner questions, community discussion support and pedagogical monitoring are expected.
Intended audience and prerequisites
- Professionals looking to start their career journey towards a technical role while learning the core concepts of Python.
- Newcomers to Canada looking for to upskill and enter the technology workforce.
- Learners need to learn Python to enter the field of data science, artificial intelligence, and web development.
- Learners interested in enrolling in WatSPEED’s Data Science Certificate and Python for Machine Learning.
Prerequisites for intended audience
No prior knowledge needed.
Requirements for interested parties
- Broad Requirements
- Availability for the timeline outlined.
- Demonstrated experience/expertise in the subject and content outlined.
- eLearning/online learning experience, preferably within a lifelong learning environment
- Experience with Learning Management Systems (LMS)
- Specific requirements
- The Subject Matter Expert should be able to provide some guidance and input to both learners and the WatSPEED community while having an in-depth understanding of the course outline, module objectives, learner objectives and outcomes, technology/tools for experiential learning opportunities, and assessment exercises to ensure learners have met criteria for acquiring WatSPEED certification.
- Knowledge in the field of Python is important. Instructors will be expected to engage in a debrief with WatSPEED staff for the purpose of evaluation and continuous improvement initiatives.
Selections will be made on appropriate fit, knowledge/experience, and availability.
Service renumeration
Will be based on the scope of engagement once identified.
Start and end date of the course
- The start and end date of the course is expected to be between early-February 2026
and early-April 2026. Expected involvement in the course would be from just before
to just after those identified dates.
Submission requirements and process
Applicants are invited to make an expression of interest by responding to this REOI and following the outlined steps:
- Provide an expression of interest by email by no later than November 24, 2025.
- Please fill the form below with as much relevant/applicable information as possible
- Expressions of Interest must be sent to Ethan Sparkes, Program Management Specialist at esparkes@uwaterloo.ca
- All inquiries relating to this REOI should also be directed to the above-mentioned email address.
Evaluation of submissions
- Submissions will be considered as they are received.
- Stakeholders will convene to make selections.
- Selected parties will be contacted for further information and possible engagement.
- All parties expressing interest will be contacted with information on the results of the REOI and any immediate or future involvement with WatSPEED.
Confidentiality
Subject to the following, the expressions of Interest received in response to this REOI are solely for use by the members involved in the selection. Information provided will be retained by the deciding panel and will not be distributed outside their purview.
Legal/limitations
This REOI does not constitute a solicitation. This request is merely seeking an expression of interest in participating in the service requested.
Response to this request for expression of interest does not automatically ensure that submitting parties will be selected to participate in the subsequent phase of the project.
WatSPEED reserves the right to change or cancel the requirement at any time during the REOI and/or communication process.
Project information
WatSPEED provides professional education designed to support the workforce of the future. Programs enable industry professionals to keep pace with emerging technologies and understand their impact on businesses, economies, the environment, and societies. Waterloo is at the forefront of an innovative approach to lifelong learning, helping the leaders of today and tomorrow navigate an ever-changing environment.
Overview
This course teaches intermediate python skills for applications in Data Science, Machine Learnine and AI. It is intended for professionals looking to advance their career in technical data-based roles or individuals looking to expand their Python toolkit to include data manipulation, analysis, and visualization.
Course details
- The course will run for eight weeks. The theory sections will be delivered asynchronously through the WatSPEED LMS, prefaced by a warmup quiz and ending with a wrap up quiz for each module. Monitoring progress and providing feedback when required on these learning activities is expected. Virtual office hours of one hour a week to support learner questions, community discussion support and pedagogical monitoring are expected.
Intended audience and prerequisites
-
Those who have completed Python I and are looking to advance their skills further. Those who want to move into data science, data analysis, business analysis and need a more solid foundation in python.
- Aspiring data scientists: Those looking to build a strong foundation in data manipulation and visualization, essential for data science roles.
- Data analysts: Professionals who want to enhance their skills in handling and analyzing large datasets using Python.
- Researchers: Individuals in academia or industry who need to process and visualize data for their research projects.
- Software developers: Developers who want to integrate data analysis and visualization capabilities into their applications.
- Business analysts: Professionals who need to derive insights from data to support business decisions.
- Aspiring machine learning professionals: Those preparing to transition into technical roles in machine learning and need a solid understanding of data handling and preprocessing.
- Financial analysts: Analysts who need to manipulate and visualize financial data for reporting and analysis.
- Anyone interested in Python: Individuals with a basic understanding of Python who want to advance their skills in data manipulation and visualization.
Prerequisites for intended audience
Python I or equivalent knowledge
Requirements for interested parties
- Broad Requirements
- Availability for the timeline outlined.
- Demonstrated experience/expertise in the subject and content outlined.
- eLearning/online learning experience, preferably within a lifelong learning environment
- Experience with Learning Management Systems (LMS)
- Specific requirements
- The Subject Matter Expert should be able to provide some guidance and input to both learners and the WatSPEED community while having an in-depth understanding of the course outline, module objectives, learner objectives and outcomes, technology/tools for experiential learning opportunities, and assessment exercises to ensure learners have met criteria for acquiring WatSPEED certification.
- Knowledge in the field of Python, NumPy and Pandas is important. Instructors will be expected to engage in a debrief with WatSPEED staff for the purpose of evaluation and continuous improvement initiatives.
Selections will be made on appropriate fit, knowledge/experience, and availability.
Service renumeration
Will be based on the scope of engagement once identified.
Start and end date of the course
- The start and end date of the course is expected to be between late-March 2026 and
mid-May 2026. Expected involvement in the course would be from just before to just
after those identified dates.
Submission requirements and process
Applicants are invited to make an expression of interest by responding to this REOI and following the outlined steps:
- Provide an expression of interest by email by no later than December 15, 2025.
- Please fill the form below with as much relevant/applicable information as possible
- Expressions of Interest must be sent to Ethan Sparkes, Program Management Specialist at esparkes@uwaterloo.ca
- All inquiries relating to this REOI should also be directed to the above-mentioned email address.
Evaluation of submissions
- Submissions will be considered as they are received.
- Stakeholders will convene to make selections.
- Selected parties will be contacted for further information and possible engagement.
- All Parties expressing interest will be contacted with information on the results of the REOI and any immediate or future involvement with WatSPEED.
Confidentiality
Subject to the following, the expressions of Interest received in response to this REOI are solely for use by the members involved in the selection. Information provided will be retained by the deciding panel and will not be distributed outside their purview.
Legal/limitations
This REOI does not constitute a solicitation. This request is merely seeking an expression of interest in participating in the service requested.
Response to this request for expression of interest does not automatically ensure that submitting parties will be selected to participate in the subsequent phase of the project.
WatSPEED reserves the right to change or cancel the requirement at any time during the REOI and/or communication process.