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Next Cohort: May 6-Jul 27

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Duration

12 weeks

Tuition

$856

 

May 6-Jul 27

Commitment

Part-Time

Delivery

Online

Year Founded

1948

Scholarships

no

The Agile Project Management course will be based on PMI’s Agile Certified Practitioner Handbook, PMI’s Agile Practice Guide, and Agile Methodology based on “Scrum”. Course participants will be able recognize the tools and techniques for Agile, and be able to apply them in projects by performing Agile Methodology based on Scrum. This introductory course is expected to provide a strong foundation towards leading and delivering Agile based projects.

What You’ll Learn 

  • Agile vs traditional project management
  • Scrum and Agile methodology
  • Building strong Agile project teams
  • Tools and techniques

Priority enrolment for certificate students for this term begins on February 11, 2019. Regular enrolment begins on February 25, 2019.

Ready to get started?

Next Cohort: May 6-Jul 27

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Student Reviews (3)

The G. Raymond Chang School of Continuing Education, Ryerson University

Great program in data analytics for business professionals

Toronto •

Graduated From

Data Analytics Fast Track

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

Excellent instructors who are at the top of their game in the industry. Good balance of theory and applied learning, including hands-on exercises with SQL, Spark, and Hadoop. Recommended for newcomers to the field who already have a business background...

Excellent instructors who are at the top of their game in the industry. Good balance of theory and applied learning, including hands-on exercises with SQL, Spark, and Hadoop. Recommended for newcomers to the field who already have a business background.

The G. Raymond Chang School of Continuing Education, Ryerson University

Data Analytics at the Chang School

Toronto •

Graduated From

Data Analytics Fast Track

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

This program offers a good introduction to statistics, data science, data management, working with large data sets, analytics theory and big data tools.

As someone who hasn't coded for 10+ years, I was able to pick it up pretty quickly and compl...

This program offers a good introduction to statistics, data science, data management, working with large data sets, analytics theory and big data tools.

As someone who hasn't coded for 10+ years, I was able to pick it up pretty quickly and complete all of the coding via what was taught in the class or tutorials/lab sessions. The program has exposed us to most of the standard tools: SQL, RegEx, R, Watson, Hive, Pig, Spark, Hadoop, etc.. Also, you get exposure to analytics methodologies (clustering, regression, decision trees, machine learning).

The program has been a mix of theory and more practical learning - which helps ensure you really understand the purpose of the tool or method and how to apply it to real-world or business problems.

The program has been a great way for me to build up my knowledge and expertise in big data and machine analytics. I am not a full-time technologist, but work with many, and we now have a common language and tool set to problem solve with together.

This course would also be a great complementary skill set for someone who is already a technologist or already a data analyst who could then take what they learned and build more depth on it through their professional activities.

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