Since 2003, Metro College of Technology has trained and produced thousands of data analysts and data scientists in Canada through this Data Science and Application program.
Become a data analyst / data scientist
This program offers a comprehensive foundation in statistics and data analytics, while also preparing students to work on real-world data projects using industry-standard tools such as SQL, VBA Programming, SAS, R, and Python. Through hands-on practice, students gain the ability to extract, clean, analyze, and visualize complex datasets. What sets this program apart is its integrated Artificial Intelligence (AI) component. Students are introduced to machine learning, deep learning, and AI-driven data modeling techniques, giving them a competitive edge in today’s data-driven job market.
Students will also develop key skills in data mining, advanced statistical modeling, and big data analytics. Tools like Tableau and Power BI are used to organize and present insights effectively, making data storytelling a vital part of the curriculum. Throughout the program, students will complete mini projects and a capstone project, applying their knowledge to solve practical business challenges.
Our instructors are experienced professionals with a successful background in the data science field and a passion for teaching. Their real-world expertise ensures students receive both theoretical knowledge and applied learning, preparing them to thrive in today’s competitive tech landscape..
Upon successful completion of this data analysis course, students will be awarded an advanced diploma. Therefore, making them competent in many data science and data analysis positions such as data scientist, data analyst, AI engineer…
Admission Requirements:
Post-secondary diploma or degree in business administration/ management, accounting, marketing, finance, financial service, economics, commerce, mathematics, statistics, actuarial science, public health, medicine, pharmaceutical technology, computer science, technology, engineering, natural science or equivalent.
Subject List:
- Introduction to AI and Data Science
- Digital Analytics Using Google Analytics 4
- Microsoft Excel and VBA Programming
- Fundamentals of SQL Programming
- Introduction to R for Data Analytics
- Fundamentals of SAS Programming
- Advanced SAS Programming
- Fundamentals of Data Analytics and Statistics
- Python for Data Analytics
- Data Mining and Advanced Statistical Modeling
- Machine Learning, Deep Learning and Artificial Intelligence
- Tableau and Power BI for Data Analytics
- Advanced SQL Programming
- Cloud Computing and Big Data Analytics
- Business Analytics
- Data Science and AI Project Using Python
- Professional Development
For info of the Data Science And Application instructor, please click here
Our learning partners:
Career prospects upon graduation after Data Science and Application Program
Upon successful completion of this course students will be able to work as:
- Data Scientist
- Data Analyst
- Statistician
- Credit Risk Analyst
- Business Analyst
- Campaign Analyst
- Customer Segmentation Analyst
- Pharmaceutical Data Analyst
- Marketing Data Analyst
- Financial Data Analyst
- Research Data Analyst
- Public Health Data Analyst
- And more...
If you have interest in Cloud Computing and Application, please visit our Cloud Computing and Application program.
Financial assistance may be available if you qualify. Please visit OSAP website for more information.
If you have interest in taking and passing an SAS certificate exam, please visit SAS certificate exam website
