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Duration

6 weeks

Tuition

$979

 

Jun 2-Sep 7

Commitment

Part-Time

Delivery

Online

Year Founded

1967

Scholarships

no

George Brown’s PMP Exam Preparation course takes a boot camp approach to prepare students to pass the Project Management Professional (PMP) and Certified Associate in Project Management (CAPM) certification exams. This teacher-led PMP course provides learners with the 35 hours of project management training you need to sit the exam and helps you build the project management knowledge you need to write the exam with confidence. The course materials are based on the PMP Examination Content Outline and the PMI‘s current PMBOK Guide.

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Next Cohort: Jun 2-Sep 7

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Student Reviews (13)

Write a Review

George Brown

Amazing college

Priyanka Mehta

Etobicoke • September 17, 2024

Graduated From

Machine Learning 1

Overall:

5 out of 5

Instructors:

4 stars

Curriculum:

4 stars

Job Assistance:

3 stars

Superb

Superb

George Brown

My experience at George Brown College

Anonymous

Toronto • September 17, 2024

Graduated From

Information Systems Business Analysis Program

Overall:

3 out of 5

Instructors:

2 stars

Curriculum:

3 stars

Job Assistance:

1 stars

I enrolled in the Analytics for Business Decision Making course at George Brown College in 2021, hoping to gain the skills necessary to thrive in the rapidly growing field of data analytics. While the course provided a foundational understanding of dat...

I enrolled in the Analytics for Business Decision Making course at George Brown College in 2021, hoping to gain the skills necessary to thrive in the rapidly growing field of data analytics. While the course provided a foundational understanding of data analysis and business decision-making, I found the content to be somewhat lacking in depth and relevance to the current job market.

The course covered basic concepts in data analytics, including data processing, statistical analysis, and data visualization. It also introduced tools like Excel and SQL, which are essential for any data analyst. However, the curriculum felt outdated and did not delve deeply into more advanced and industry-relevant tools and techniques such as Python, R, or machine learning algorithms, which are highly sought after by employers today.

While there were some hands-on projects, they were often simplistic and did not simulate real-world business problems effectively. The lack of exposure to complex, real-life datasets and scenarios meant that the practical skills gained were not useful at all.

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