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

Ready to launch your data analytics career in Canada? 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 you 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 our certificate will prepare you for a range of exciting, well-paying roles such as data analyst, business intelligence analyst, data architect, big data analyst, and more.

Earning a Canadian university-level certificate will help you grow your Canadian professional network and jumpstart a career in data analytics or boost your existing expertise and get that promotion. This certificate is the perfect tool to get your resume noticed by employers in Canada’s competitive field – let’s get started today.

What Will You Learn?

You’ll 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 you can include in your portfolio when applying for jobs

You’ll 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