Applied Data Analytics and Visualization

Sheridan College’s Applied Data Analytics and Visualization program prepares students to transform data into meaningful insights that help organizations solve real-world problems and make informed decisions. Students develop skills in gathering, interpreting, and visualizing data while exploring descriptive, diagnostic, predictive, and prescriptive analytics. The program also covers statistical analysis, artificial intelligence, machine learning, data storytelling, ethical decision-making, and project management.

Students gain practical experience through interactive simulations, industry projects, job-shadowing, a capstone project, and an optional co-op term. They work with industry-relevant tools and technologies, including Power BI, Tableau, Python, R, SQL, and AI and cloud platforms such as Azure, AWS, and Google Cloud. The program helps graduates build the technical and analytical skills needed to contribute strategic insights across a range of organizations and industries.

Admission Requirements

• Postsecondary diploma, advanced diploma or degree in business, applied computing, information technology, computer science or equivalent fields,
• Or demonstrated competence through educational experience and/or related work experience.

What You’ll Learn

• Analyze data using descriptive, predictive, and prescriptive methods.
• Create visualizations and compelling data stories.
• Use tools such as Tableau, Power BI, Python, R, and SQL.
• Apply AI, machine learning, and cloud analytics technologies.