| Program length | Format | Session start date(s) | Program fees |
|---|---|---|---|
| 12 weeks | Online learning with live recorded sessions | May 29, 2023
September 25, 2023 January 29, 2024 May 27, 2024 |
$995 + applicable taxes |
Big Data involves massive data volumes and diverse data types. Modern organizations need people who can help implement the tools they need to deal with these huge data sets.
In this course, you’ll learn the technology of Big Data and build in-demand skills. You’ll also get hands-on experience using up-to-date database management systems and tools. Get in on the explosion of new NoSQL technologies and Big Data tools including Hadoop, Spark, and Cassandra.
This course is developed in partnership with the School of Continuing Studies at the University of Toronto.
Who should enrol
- Business associates, operations managers, project managers and intelligence analysts
- Finance, securities and insurance professionals
- Digital marketing and communication specialists
- Professionals from every level or industry who work with analytics or data
What you will learn
- Understand the architecture of reliable Big Data systems.
- Describe how they differ from traditional systems.
- Use several NoSQL database management systems.
- Address the many challenges of working with data at scale.
- Use tools such as MongoDB and Spark to process large datasets.
Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.
Academic requirements
- Required prerequisites:
- Foundations of Data Science OR
- a passing grade on the prior learning assessment, conducted by the University of Toronto, for equivalent skills
- A working knowledge of Python.
- A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.
System requirements
- Anaconda/Jupyter (software that you are required to install)
- Waterloo LEARN
Program lead
Larry Simon, MBA
Mr. Simon is an entrepreneur, management consultant, and angel investor, specializing in IT strategy and data analytics. He has over 30 years of experience advising startups, global corporations, and government institutions. He is the founder and a Managing Director of Inflection Group. Prior to this he was a Partner with Ernst & Young Consulting, their CTO and National Director of their strategy and delivery centres.
He has previously served on the faculty of the Rotman School of Management, as the Head Judge of the Canadian Information Productivity Awards (CIPA), and as a Councillor of the Institute of Certified Management Consultants of Ontario. Larry holds an MBA from the University of Toronto and a B.Math (Computer Science) from the University of Waterloo.
Your learning experience with Waterloo
Canada's most innovative universityLearn from leaders of innovationIn Maclean's University Rankings 2022, the University of Waterloo was ranked as the nation's most innovative university.
Top ranked STEM programs#1 in engineering, math, and computer scienceLearn from professors, researchers, and lecturers from one of Canada's top universities for engineering, math, and computer science.
Hands-on learning experience#1 in experiential learningWaterloo is a pioneer and leader in experiential learning and our programs offer a hands-on learning experience.
Download a brochure for the Data Science certificate program
Taxation
Online Data Science courses taken through WatSPEED at the University of Waterloo will have applicable taxes applied at the time of purchase. A T2022A tax slip is not issued for these courses.
Withdrawal and refund policy
You can withdraw from this course, or transfer to the next start date, up to 14 days after the start date. You must request this in writing (watspeed@uwaterloo.ca) before 4:30 pm (EST) on the 14th day. Please indicate if you want a refund or a transfer. There is an administrative fee of $75 (+ applicable taxes) for either option.
