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 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.

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.

In the race for top talent, is your organization eager to find and assess high quality candidates? In this project, students in McMaster University’s Human Resources Management program will provide actionable talent acquisition, branding, marketing, operations, and planning recommendations that you can apply to source talent for even the most difficult roles to hire.

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. McMaster University Continuing Education (MCE) is partnering with Level UP, powered by Riipen! This unique initiative enables employers to engage Canadian post-secondary students for 80-hour paid projects that span across 2-8 weeks. Students receive a $1,400 CAD stipend from Riipen upon successful project completion. Employers are not required to provide payment.

McMaster University Continuing Education 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, McMaster Continuing Education’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. McMaster Continuing Education is working with Advance Ontario to provide eligible students internship opportunities to help develop real-world, in demand skills. Internships are hosted remotely with Ontario employers who are eager to mentor the next generation of talent.  We are sourcing open projects that fit the skillset and interests of our Continuing Education students. Our students are enrolled in a variety of programs including, but not limited to, Business Administration, Marketing, Communications, Technology, Health and Human Resource Management. By matching with Advance Ontario: McMaster Continuing Education, your projects will be open for our students to apply to. Powered by Riipen, the world's leading online work-based learning marketplace, students are paid $1400 by Riipen to complete projects each spanning 80 hours over 2-8 weeks.  Each student is eligible to complete one project, if accepted by the employer.

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.

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. 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.

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.

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.

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 explains how to apply data analytics skills to the area of business intelligence (BI). Focus is placed on the components of the business intelligence project lifecycle such as project planning, BI tool selection, data modeling, ETL design, BI application design and deployment and reporting. The project(s) will allow the students to apply BI practices and analysis.

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.

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.

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.

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.

Digital marketing tools and opportunities continue to expand. Are you capturing and using appropriate data in your digital efforts to help make the best marketing decisions? In this project, continuing education students in McMaster University’s Digital Marketing certificate program will analyze your digital efforts, provide a template to capture relevant data points, and analyze those data points to ensure that you are reaching your audience as effectively as possible.

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.

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.

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.

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.

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 provides a foundation to explore health data through computing and statistical analysis. Focus is placed on the structure and applications of probability, statistics, computer simulation and data analysis as applied to various types of health data. In particular, students will investigate descriptive statistics, inferential statistics, linear regression and probability concepts, hypothesis testing and foundational statistical tools are applicable to data analysis. Common statistical and programming tools will be used. Students should have an introductory/basic understanding of statistics for this course.

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.

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 provides a foundation of exploring data through computing and statistical analysis. Focus is placed on the structure and applications of probability, statistics, computer simulation, and data analysis for students exploring the field of data science. This course builds upon introductory statistics courses and is designed for students with experience/study in programming, calculus, and algebra. Programming in R will be used throughout the course.

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.

In the race for top talent, is your organization eager to find and assess high quality candidates? In this project, students in McMaster University’s Human Resources Management program will provide actionable talent acquisition, branding, marketing, operations, and planning recommendations that you can apply to source talent for even the most difficult roles to hire.

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.

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.

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.

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.

The capstone course is part of the Big Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. Students apply analytical models, methodologies, and tools learned in the program to create an analytics solution for your organization. Faculty mentors will work with students to ensure the capstone project reflects, and encompasses, best practices for big data analytics and project management.