Certificate - Project Management and Certificate - Data Analytics, Big Data, and Predictive Analytics

Project Management: 

The Certificate in Project Management at The Chang School provides the in-demand project manager training sought after by Canadian employers. The certificate equips students with the skill sets and knowledge to run projects seamlessly, manage teams and workflows effectively, and tackle any challenges that arise along the way. The courses in the certificate meet the Project Management Institute’s educational requirements, making it an ideal way to prepare for the Certified Associate in Project Management (CAPM)® exam and certification.

Whether students are looking to jumpstart a career in project management or enhance their existing expertise, they’ll develop the skills to lead projects efficiently from start to finish with confidence. 

Students will learn: 

• Gain proficiency in the fundamental concepts and functions of project management principles
• Develop project plans and schedules, employing a variety of techniques such as predictive, hybrid, and adaptive techniques
• Utilize analytical tools and methods to effectively identify, plan, and manage project risk and quality standards
• Implement financial controls for accounting, budgeting, and cost-management systems
• Assemble self-managing teams capable of delivering products in agile and mobile project environments
  
  

Data Analytics, Big Data, and Predictive Analytics: 

The Chang School’s Certificate in Data Analytics, Big Data, and Predictive Analytics provides in-demand data analytics training sought after by Canadian employers. The certificate equips students with the skills and knowledge to understand and visualize data, use data in business decision-making, and harness predictive analytics to foresee future trends. The courses in the certificate will prepare students for a range of exciting, well-paying roles such as data analyst, business intelligence analyst, data architect, big data analyst, and more.

Students will learn how to:

• Gain proficiency in the data analytics domain, understanding data types and structures, data manipulation and cleaning, statistical analysis, data visualization, machine learning techniques, and programming languages for querying data, along with the business context to provide insights and recommendations effectively
• Understand the different types of databases and how to manage and organize them
• Use statistics and machine-learning techniques to prepare, model, and analyze data
• Use programming languages like R and Python to turn data into insights that can help a business
• Complete data analytics assignments and final projects that they can include in their portfolio when applying for jobs

Students will also learn how to use these tools:

• Programming languages: R, Python
• Database management systems: MySQL, MongoDB
• Data collection and query tools: XPath, XQuery
• Data visualization tools: Tableau
• Libraries for data analysis: Python Libraries (pandas, NumPy, SciPy, Matplotlib), R Packages (dplyr, ggplot2)
• Integrated development environments (IDEs): RStudio, MS-VSCode, MySQL Workbench, Robo3T