Diploma in Data Sciences

Diploma in Data Sciences

Step into the future of data with Diploma in Data Sciences program, leveraging advanced techniques for impactful business solutions.






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.


  1. Programming Language – Python
  2. Applied Statistics in R
  3. Machine Learning Models
  4. Databases and SQL Programming
  5. Data Visualization
  6. Business Analytics
  7. Data Mining
  8. Capstone – Data Sciences Programming
  9. Capstone – Model Building and Deployment
  10. Capstone – Databases and Pipelines
  11. Capstone – Data Visualization and Dashboards

Career Opportunities

  1. Data Scientist
  2. Machine Learning Scientist
  3. Machine Learning Programmer
  4. Data Analyst
  5. Data Processing Analyst
  6. Business Analyst
  7. Artificial Intelligence Analyst
  8. Data Miner
  9. 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

  1. Identify and source data from Internet and External sources
  2. Use different techniques to clean and validate the data
  3. Analyze large amounts of information and data to discover trends and patterns
  4. Use machine-learning algorithms to build predictive models
  5. Extract result to help in making predictions about future behaviour of interacting customers
  6. Present information using data visualization techniques and develop dashboards for business users
  7. Propose solutions and strategies to business challenges
  8. Collaborate with Data engineering and product development teams
  9. Use documentation and project management platforms that ensure Continuous Delivery Paradigm

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