Data Science Bootcamp

This five-day Data Science Bootcamp will give you an introductory foundation in big data analytics, tools, and statistics. Engaging lectures and hands-on activities will explore data analytics skills and the creation of a road map for completion of a successful analytics project. Participants will focus on complex algorithms for big data, analytics, big data tools, statistics, and machine learning, and be introduced to the following topics:

  • Data science overview
  • Statistical tools for data analysis
  • Data visualization techniques
  • How to create data-driven stories
  • Machine learning methods: supervised and unsupervised
  • Model evaluation, confusion matrices, and ROC curves
  • Programming in R language
  • Data preparation, regression, clustering, and classification in R and Python
  • Big data tools, Hadoop ecosystem
  • Machine learning with Apache Spark

Returning in Fall 2019

The next Data Science Bootcamp will be held in the Fall 2019 term. Express interest to receive updates about the Fall 2019 offering.


Dr. Ceni Babaoglu is a Senior Data Analytics Associate at The Chang School and a Data Science Instructor at Ryerson University. Since receiving her PhD in Applied Mathematics from Istanbul Technical University, she has worked as a researcher and Mathematics instructor in Istanbul, Sweden, and Toronto. Four years ago, inspired after visiting a Data Science Laboratory – where she learned the practical applications of data analytics and how it involved (her specialty) mathematics – Ceni shifted her focus to data. Her current research is focused on numerical analysis, data mining, and machine learning programming. She is also an associate member of the Yeates School of Graduate Studies at Ryerson University and co-supervises the major research projects of Data Science and Analytics MSc students.

Admission Criteria

There are no academic prerequisites for enrolment. However, please note that participants will be expected to engage in case studies and group discussions and, as such, should have the appropriate level of work experience. This bootcamp is best suited to professionals who need to leverage data analytics, big data, and predictive analytics to optimize performance at various levels in sectors such as private enterprise, government, nonprofit, retail, health care, and technology.


Concepts will be presented using activities, case studies, and data analytics scenarios in a dedicated computer lab.

For More Information

For more information about the Data Science Bootcamp, contact Brigid Elmy, Special Projects Officer, Business Development and Strategic Planning, at

Are you an employer who would like to enhance your employees’ skills through training at The Chang School? You may be eligible for the Canada-Ontario Job Grant program. Visit the Canada Job Grant web page for more information.