Gain the skills employers are looking for
Most companies aren’t yet leveraging the powerful insights hidden within their data, which is where data scientists come in. Part mathematician, part computer scientist and part trend-spotter, the bottom line is you'll be solving high value business problems with data, and together, we'll learn all the tricks of the trade.
Earn a Diploma in Data Science from Concordia
As a program graduate you will be granted a Diploma in Data Science from Concordia University's continuing education division. Widely recognized as one of the largest and top universities in Canada, you'll leverage these credentials throughout your job search, and throughout your career.
An online nights & weekends schedule
Live online classes take place 2 nights a week, and 1 day on the weekend - all from the comfort of your home (or favourite cafe). With a total of 14 hours per week of class time, our Data Science Remote program offers enough flexibility to fit in with most busy schedules.
Unlimited access to career services for 6-months
Once you graduate you'll be mentored by a dedicated career coach who will guide you throughout your job search. We'll cover where, when, and how to apply for jobs in your field, prepare you for interviews, help you build your network, and invite you to our job fairs.
The Remote Experience
Online, real-time, and highly interactive
No need to commute over to campus. Connect online with your instructor and classmates in our virtual classroom powered by Zoom and Slack. Ask questions in real-time and take part in group discussions, just as you would in a physical classroom.
Technical Coaches available on-demand
Outside of lectures, you'll often find yourself wanting a little bit of extra guidance for your class-work. Using our queue system, you'll be able to lineup for 1-1 support from Technical Coaches as needed.
Online but not alone. Community built in.
Learning online doesn’t mean learning in isolation. Slack is active pretty much at all hours of the day. We also host a wide array of online networking events, Q&A sessions with alumni, and encourage the use of virtual study sessions amongst classmates.
Python, Data Structures & Algorithms
Module 1 introduces the fundamentals of Python for Data Science. You’ll learn the fundamentals of programming with Python, how to organize your data with data structures, and basic algorithms.
Math & Statistics
Math and statistics are a fundamental skill for anyone working with large amounts of data. In this module, we'll review linear algebra, gradients, optimization, confidence intervals & testing, distributions, and linear models.
Introduction to Machine Learning
Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In this module we will explore supervised learning, clustering, and embedding.
With Data Engineering, you will learn to leverage different data formats, from raw data to production analytical or predictive uses. We'll be looking at relational databases (SQL), MapReduce framework for NoSQL schemas, network/graphical data, text data (NLP), sequential data (time series), and image data.
Data Science in Business
Being a good Data Scientist requires clearly communicating information to stakeholders. In this module you will learn the skills necessary to manage a real project. This includes effective data analysis and presentation, Object Oriented & other programming paradigms, source code and data management, as well as deployment and maintenance.
Together with a few classmates, you will build a project based on real-world data. This includes presenting an analysis of the data, justifying the approach, presenting a solution and demonstrating statistically the efficacy of your solution.
For your capstone project, you will develop a machine learning solution on complex real-world data, and deploy a prototype micro-service. You will be responsible for all decisions from what data to use and how, to the data pipeline and model.
Dates & Tuition
Oct 5 - May 19
Mon & Wed 6pm-9:30pm | Sat 9am-4pm
Complete a 10-15 minute application online letting us know what you hope to achieve with this program.
Using Python and a Jupyter Notebook you’re going to explore a data set of over 40,000 international football matches. This is a great project for beginners and we’ll provide you with all the resources you need to be successful.
Talk with our team about your project, any challenges you encountered, or about your background and motivation for applying.
Get ready for an incredible journey. Our bootcamp may be hard work, but it's also extremely rewarding.
Apply now or contact us to talk with an education advisor to learn more about our courses.Apply Now