Certificate in Data Analytics, Big Data, and Predictive Analytics for International Students The Chang School Of Continuing Education At Toronto Metropolitan University, Canada

Unlocking the power of data means unleashing endless opportunity. Data analyst. Business intelligence analyst. Predictive analyst. Big data analyst. Even chief data officer. These are the roles that are highly in-demand right now – and often pay well. We’re the perfect partner to help you become a sought-after data analytics specialist and boost your career prospects here in Canada.

Our program prioritizes practical, hands-on experience with data analysis tools and techniques. We also include a capstone project, which allows you to apply your new knowledge and skills to real-world problems, putting theory into practice and giving you some projects to showcase in your new portfolio during your job hunt.

Think of this certificate like a master key, unlocking the ability to handle, examine, and make sense of big datasets. You’ll complete coursework in Python programming, big data analytics, data organization, and data access and management. The skills you’ll learn are sought after in numerous industries, maximizing your career options.

What will you learn?

In our Data Analytics, Big Data, and Predictive Analytics program, you’ll learn how to use tools like:

• 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

You’ll also learn how to:

• Master the data analytics fundamentals of data types and structures, data manipulation and cleaning, statistical analysis, data visualization, machine learning techniques, and programming languages for querying data
• Interpret business context to provide insights and recommendations effectively
• Understand database types and how to organize and manage them
• Prepare, model, and analyze data via statistics and machine-learning techniques
• Use programming languages like R and Python to turn data into beneficial insights
• Create a data analytics portfolio to aid you in applying for jobs