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Course Series in
Hadoop, Python, and Tableau Big Data Tools

This program builds hands-on technical skills in Hadoop, Python, and Tableau Big Data Tools Administration. Students program and administer, within Hadoop, Python, and Tableau dedicated administrative platform environments, big data analytics queries on unstructured data, visual data, and social media data. The most industry-adopted big data tools, applications, and administrative platform environments are Hortonworks, Hadoop, Python, and Tableau which are covered in depth.

For more information, contact Alex Ferworn, Academic Coordinator, at aferworn@ryerson.ca.

Those who successfully complete this course series are eligible to earn a Professional Development Award from The G. Raymond Chang School of Continuing Education.

Required Courses (select three)

CKCS 107   Computer Science:  Data Analytics Through Excel
CKCS 113   Computer Science:  Intro to Machine Learning
CKCS 115   Computer Science:  Big Data Location Analyst
CKCS 116   Computer Science:  Crowd-Sourcing Big Data
CKCS 117   Computer Science:  Sharing Economy Big Data
CKCS 118   Computer Science:  Big Data and Virtual Reality
CKCS 150   Computer Science:  Introduction to Programming in Python
CKCS 155   Computer Science:  Intro to Hadoop and Tableau


Note to course series students
The number of courses for program completion has increased from two to three.
CKCS 113, CKCS 115, CKCS 116, CKCS 117, and CKCS 118 added.

Once you have successfully completed the courses, email The Chang School at ce@ryerson.ca with your name, student number, and the course series you have completed. Upon verification, you will receive your professional development award.

Fast Track in Hadoop, Python, and Tableau Big Data Tools

This spring, participants in the Big Data Tools Fast Track (CKCS 996) can complete three of the courses in the program and access specialized material and individualized instructor support.