Study Diploma in Machine Learning Analyst at NorQuest College in Canada,
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Diploma in Machine Learning Analyst

Canada

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What will I learn?

In this program, you’ll gain the skills to harness artificial intelligence and data to solve complex problems across industries. With a combination of technical training and business-focused learning, you’ll graduate well equipped to bridge the gap between data and decision-making. Through topics such as: Programming in Python and SQL Tools such as Pandas, PyTorch, Excel, and Power BI Cloud services such as Google, Azure, AWS, and Snowflake Data merging, modeling and cleaning Development and deployment of machine learning (ML) models Business strategy and communication Responsible AI and governance Problem scoping, agile methods, and iteration And more You will gain the skills you need to build data pipelines and apply AI responsibly to solve real-world challenges.

Study options

Full Time (2 Years)

Tuition fees
CAD$19,603.50 (US$ 14,091) per year
Accommodations- 800-1,300 monthly

*Price shown is for indicative purposes, please check with institution

Start date

January 2027

Venue

NorQuest College

10215 108 Street NW,

EDMONTON,

Alberta (AB),

T5J 1L6, Prairie Provinces, Canada

Entry requirements

For international students

Academic requirements Language Arts – this requirement can be met with any of the following, or an equivalent course: 60% in English Language Arts 30-1 60% in ESLG 1860 70% in English Language Arts 30-2 70% in ESLG 1898 Mathematics – this requirement can be met with any of the following, or an equivalent course: 50% in Mathematics 30-1 50% in Mathematics 30-2

*There may be different IELTS requirements depending on your chosen course.

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About NorQuest College

Students can choose certificate or diploma programs covering areas such as health, business, environmental technology, and community studies.

  • Located in Edmonton, Alberta’s capital city
  • Over 60 percent of students were born outside of Canada
  • Large number of scholarships are offered
  • Many courses include work-integrated learning

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