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Duration

8 months

Tuition

$6,799

  ,

Sep 20-May 10

Commitment

Part-Time

Delivery

Classroom

Credential

Certificate

Year Founded

1959

Scholarships

yes

In this course, you’ll work on multiple machine learning projects of various scales that capture the entire machine learning lifecycle. You will work with both structured and unstructured data and with various supervised, unsupervised and reinforcement learning algorithms. These projects allow you to build upon your technical skills while gaining a holistic understanding of machine learning as it relates to current and relevant problems facing businesses. You’ll learn key skills that will allow you to:

  • Build a business case to support the implementation of machine learning solutions in various industries
  • Identify and assess the viability of different machine learning models using data, and explain your recommendations clearly to an employer
  • Use project management principles to plan and execute a machine learning solution
  • Use Python (and other languages) to create, implement and test machine learning algorithms in real-world scenarios

Admission Requirements

  • The Certificate in Machine Learning is for anyone with at least a second year undergraduate level understanding of linear algebra, calculus, probability and inferential statistics and with experience in Python or other programming languages.

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Next Cohort: Sep 20-May 10

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Student Reviews (1)

York University

Helped me switch into a technology role

Toronto •

Graduated From

Certificate in Advanced Data Science and Predictive Analytics

Overall:

4 out of 5

Instructors:

4 stars

Curriculum:

4 stars

Job Assistance:

5 stars
I took the certificate in big data analytics and the follow-on certificate in predictive analytics. I worked in finance for a telecommunications company and studied statistics in university. Honestly, I thought the first certificate was a bit basic for me...
I took the certificate in big data analytics and the follow-on certificate in predictive analytics. I worked in finance for a telecommunications company and studied statistics in university. Honestly, I thought the first certificate was a bit basic for me, but the second allowed me to hit my stride and experiment with new tools and interesting business cases. If you want to jump straight into Predictive Analytics, you can do so by demonstrating equivalent work experience. York introduced me to valued mentors and, at the end of it all, helped me switch into a great role at a new tech firm.

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