The Data Science Co-Op Diploma course is designed to equip students with the skills necessary to build a career in Canada. Students will learn the fundamentals of data, how to leverage tools, methods of analysis, big data concepts, and machine learning, allowing them to acquire practical skills.

9 Months

Academic Education (Part-time Work Permit)

9 Months

Paid Co-op (Full-time work permit)

Become a Data Scientist

In this course, students will learn how to use Python to collect, analyze and communicate large data sets with industry-standard tools. Students will also learn some of the challenges associated with working with datasets that are becoming ever larger and faster moving.

Our data science diploma courses will help students to master the following skills below:

  • Understand the characteristics of data management in different industries.
  • Identify the needs for data collection and create appropriate algorithms.
  • Understand the role of data management and processing in today’s business environment.
  • Develop and implement data models and algorithms.
  • Identify the best machine learning model for different datasets.
  • Understand the future of data science and the impact on new technologies.

Why is Data Science a Good Career?

Data Science jobs are some of the fastest-growing, most in-demand in technology. Since 2012, Data Scientist roles have increased by 650%, and this rise shows no sign of stopping. The U.S. Bureau of Labor Statistics predicts that the demand for data science skills will increase another 27.9% by 2026.

Average Junior Data Scientist Salaries in Canada: $74,713/ year

The professional route that students take will depend on their area of specialization, as well as their interests and comfort levels with various programming languages and frameworks.

Cornerstone will work with each student to discuss their strengths and experience in order to guide them to find a job in the Canadian data science industry.

This course will equip students with a comprehensive understanding of Data Science techniques, databases, and data visualization.

Gain a comprehensive overview of the Python language and its ecosystem. It covers topics such as testing and debugging code, Git and version control, and interactive data visualization using Python.

We will offer you an introduction to SQL and Relational Databases. Students will concentrate on setting up, aggregating, and grouping data.

Acquire an in-depth understanding of Big Data, including its definition and its profound impact on the industry.

This course will give students a basic understanding of data science analytics. You’ll learn about statistics, AB Testing, and how to tackle common data science challenges.

This topic offers students a comprehensive introduction to Machine Learning techniques, covering data modeling, dataset preparation, linear regression, and model evaluation. By the end, students will have a solid grasp of the Machine Learning field and the ability to apply basic models for running their own algorithms

This is the chance for students to apply the skills acquired in the Data Science Program, enabling them to create data visualization tools for presenting their project findings.

Admission

Entrance Requirements:

  1. High School Graduation or equivalent; or 19 years of age.
  2. Successful completion of ESL level upper-intermediate at Cornerstone College
    • Academic IELTS 6.5
    • TOEFL IBT 79
    • Duolingo 120
    • Qualification for ESL level advanced on the CICCC placement test

Admission Documents:

  • Online application form
  • A copy of your passport
  • High school diploma for a candidate who is under 19 years old
  • Valid document for academic IELTS or TOEFL if an applicant has

** Students are required to have their personal computer

Success stories

Check what our student’s squad say about us

Schedule

SEASONSTART DATES
SpringApr 29th, 2024
SummerSeptember 3rd, 2024
WinterJanuary 2nd, 2024

FAQ

  • Data Science jobs are some of the fastest-growing, most in-demand in technology. Since 2012, Data Scientist roles have increased by 650%, and this rise shows no sign of stopping. The U.S. Bureau of Labor Statistics predicts that the demand for data science skills will increase another 27.9% by 2026.
  • Average Junior Data Scientist Salaries in Canada: $74,713 / year

Relationship between Data Science and AI

Data Science and AI (Artificial Intelligence) are closely related disciplines.

There is an overlap in Tools and Techniques that they use. Machine Learning (ML) is a bridge and a subset of AI that focuses on developing algorithms that allow machines to learn from the act of data.

While there’s a significant overlap, especially through machine learning, AI has a broader scope. AI also includes areas like robotics, expert systems, natural language processing, and cognitive computing etc.

 

  • Students who enjoy statistics and analytical thinking
  • Students in Business who want to get into the tech industry but are not ready for programming
  • Students in WMAD who want to expand their knowledge of AI and specialize in developing end-to-end machine learning solutions

  • If you are more of a data-focused individual who enjoys numbers and data to solve problems (statistics and analytical thinking), data science may be a good option. A software developer might be a better fit if you enjoy programming, and coding (logical thinking).

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