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.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.

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 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.).

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 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.

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. 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.

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.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 setIdentify the right storage solution for analyticsDesign and implement a solution for transforming and preparing data for analysisSelect the right data analysis and data visualization solution for a given scenarioApply the right authentication and authorization mechanismsApply data protection and encryption techniquesManage and monitor data solutionsYou 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.

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.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.

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.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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

This course is part of the Data Analytics certificate program. Students in the programare 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 statisticalanalysis. 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 withexperience/study in programming, calculus, and algebra. Programming in R will be usedthroughout the course.

McMaster University Continuing Education

Hamilton, Ontario, Canada

This course is part of the Data Analytics certificate program. Students in the programare 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 statisticalanalysis. 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 withexperience/study in programming, calculus, and algebra. Programming in R will be usedthroughout the course.

McMaster University Continuing Education

Hamilton, Ontario, Canada

This course is part of the Data Analytics certificate program. Students in the programare 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 meaningfulinformation to solve problems, and will allow for the application of analytics life cycle inthe context of planning to solve a business problem. Emphasis is placed on framing theproblem, proposing an analytics solution, communicating with stakeholders, andestablishing an analytics-focused project plan. Common data visualization tools andtechniques are explored and used as students learn best practices for the presentationand communication of analytical solutions and insights.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

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 programare 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 meaningfulinformation to solve problems, and will allow for the application of analytics life cycle inthe context of planning to solve a business problem. Emphasis is placed on framing theproblem, proposing an analytics solution, communicating with stakeholders, andestablishing an analytics-focused project plan. Common data visualization tools andtechniques are explored and used as students learn best practices for the presentationand communication of analytical solutions and insights.

McMaster University Continuing Education

Hamilton, Ontario, Canada

This course is part of the Data Analytics certificate program. Students in the programare 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 meaningfulinformation to solve problems, and will allow for the application of analytics life cycle inthe context of planning to solve a business problem. Emphasis is placed on framing theproblem, proposing an analytics solution, communicating with stakeholders, andestablishing an analytics-focused project plan. Common data visualization tools andtechniques are explored and used as students learn best practices for the presentationand communication of analytical solutions and insights.

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 programare 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 advancesto modern machine learning techniques such as neural network, deep learning, andreinforcement learning as well as NLP and text analysis. Application activities arestructured to provide an introductory level of how machine learning techniques areapplied to big data analytics.

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 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. 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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

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

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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

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. 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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.

McMaster University Continuing Education

Hamilton, Ontario, Canada

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.