Data Science Bootcamp

This five-day Data Science Bootcamp will give participants 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:

  • Data science overview
  • Statistical tools for data analysis
  • Machine learning methods: supervised and unsupervised
  • How to analyze data query outputs for evidence-driven decision-making
  • A review of models and graphs
  • Model evaluation, confusion matrices, and ROC curves
  • Programming in R language
  • Big data tools, Hadoop ecosystem

Returning in Spring/Summer 2018

The next Data Science Bootcamp will be held in the Spring/Summer 2018 term. Express interest to receive updates about the Data Science Bootcamp.

Facilitator

Dr. Ceni Babaoglu is a Senior Data Analytics Associate at The Chang School and 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 M.Sc. 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.

Format

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 belmy@ryerson.ca.