Introduction
Equip Successful students with the modern tools and data analysis techniques to leverage organizational data to generate business insights and inform decision-making. Data Scientist collects, interprets, and publishes data that can be used to increase the productivity and finance of businesses.
Modules
- Programming Language – Python
- Applied Statistics in R
- Machine Learning Models
- Databases and SQL Programming
- Data Visualization
- Business Analytics
- Data Mining
- Capstone – Data Sciences Programming
- Capstone – Model Building and Deployment
- Capstone – Databases and Pipelines
- Capstone – Data Visualization and Dashboards
Career Opportunities
- Data Scientist
- Machine Learning Scientist
- Machine Learning Programmer
- Data Analyst
- Data Processing Analyst
- Business Analyst
- Artificial Intelligence Analyst
- Data Miner
- Data Mining Analyst
Admission Requirements
- Grade 12(OSSD) or equivalent
- If 19 years or older and do not have an Ontario Secondary School Diploma or equivalent, a minimum passing score of 15 on the Wonderlic SLE entrance test.
More Details
- Identify and source data from Internet and External sources
- Use different techniques to clean and validate the data
- Analyze large amounts of information and data to discover trends and patterns
- Use machine-learning algorithms to build predictive models
- Extract result to help in making predictions about future behaviour of interacting customers
- Present information using data visualization techniques and develop dashboards for business users
- Propose solutions and strategies to business challenges
- Collaborate with Data engineering and product development teams
- Use documentation and project management platforms that ensure Continuous Delivery Paradigm