Data Science Bootcamp

Launch your career

with a Data Science Diploma.

Most companies aren’t yet leveraging the powerful insights hidden within their data, which is where data scientists come in. Harness the predictive power of data to work at the forefront of diverse industries to solve the world's most interesting problems.

Full-Time
Monday to Friday from 10am-5pm for 12-weeks
Part-Time
Flexible nights/weekends schedule for 6-months +
Contact an advisorDownload curriculum
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Why level up with Concordia Bootcamps?

Live online classes

Our classes are taught in a group setting, live online using zoom and led by an instructor. With our cohort based classes, you'll learn with the same group of students from beginning to end.

Education community

Joining our Bootcamp will immediately grow your network. You'll meet our instructors, alumni, and students who are all deeply interested or actively working in tech. Most importantly - they love to help each other out.

Job focussed curriculum

Our bootcamps are designed to help you launch a career in tech quickly. We focus on teaching you the essentials and helping you build projects to showcase to potential employers.

Career guidance

Our career team will teach you the must dos- and must not dos when it comes to your job search to help you get hired.

Small class sizes

To keep our classes intimate we find the ideal size is less than 25. From our experience, this creates the perfect dynamic of collaboration and class energy.

Recognized diploma

As a bootcamp grad, you'll earn a diploma from Concordia's school of continuing education. As one of Canada's largest universities, your education will be recognized by employers across the country.

Where our Data Science alumni work

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Jacob
Solution Developer
Image of Christina
Christina
Business Analyst
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Sarbjit
Data Analyst
Image of Sabina
Sabina
Business Solution Consultant

Curriculum

Intro to Python

This introductory module seeks to get you comfortable with Python and teach you how to use it to solve complex math & stats problems. We'll also introduce libraries such as NumPy and Pandas.

Data Visualization & Exploratory Data Analysis

This module is for you to learn the importance of visualizing data. Visualization is a central part of Data Science and Data Analysis. Whether it is presenting results to a group of investors or simply trying to understand the relationship between data points.

Algorithms & Data Structures

This module introduces you to algorithms, data structures, and OOP. This module helps you understand how to efficiently code functions and the importance of data structures in helping certain programs run faster.

Regression (Data Analysis)

This module introduces you to linear and logistic regression. Understanding how to predict continuous and discrete values. How to engineer new features and also how to use different types of linear regressors to help normalize data and also when faced with some exotic distribution. It also introduces core statistical concepts such as hypothesis testing and revisits probability. This is a core module that transitions you into the Machine Learning component of the course.

SQL & PySpark

This section introduces you to Structured Query Language or SQL. You will learn how to perform simple queries and will have the opportunity to attempt some extremely difficult queries. You will be introduced to the map-reduce paradigm and also look at how to utilize PySpark to work with data on computer clusters (essentially data that is too large to fit on one computer).

Data Munging

This module introduces you to different ML concepts. Here you will start with looking at optimization and how the use of Gradient Descent is leveraged for our ML algorithms to find the optimal solutions. You will also explore the concept of clustering which comes from the Unsupervised Learning paradigm. Then, you will learn how to scrape data online as well as how to use API to access web data. Lastly you are introduced to the concept of dimensionality reduction as well as NLP or natural language processing.

Machine Learning and AI

This final module focuses on the more deep-learning aspects of the course. Now that you have a good foundation of ML, you are ready to look at more robust models as well as being introduced to Neural Networks. You are also introduced to TSA or time series analysis models. Which are quite complicated models that help us predict certain sequences which are time related.

Who is this course for?

The Data Science Bootcamp was created for people looking to launch careers in Data as quickly as possible. Over the past few years, we've proven that we're a great fit for most people who love to problem solve.

Our course is highly personalized for…
  • You’re considering a career change. If you are considering a transition into data science from a different industry, this course is built to help you get there quickly.
  • You're intrigued by topics like AI, Machine Learning, Python, and want to dive deeper.
  • You’re excited to try something new, have a learning mindset, and a great attitude. You look forward to joining our class and being a member of our community.

Start Dates & Tuition

June 2024
English
French
12 Weeks
Jun 10 - Sept 4
Mon through Fri | 10am-5pm
Taught by
September 2024
English
French
12 Weeks
Sept 9 - Dec 2
Mon through Fri | 10am-5pm
Taught by
April 2024
English
French
6 Months
Apr 30 - Dec 8
Tu, Thu 6:30pm-10pm & Sun 10am-5pm
Taught by
October 2024
English
French
6 Months
Oct 15 - Jun 1
Tu, Thu 6:30pm-10pm & Sun 10am-5pm
Taught by
Data
Science Diploma
at Concordia Bootcamps
Tuition:
$12,495
CAD
Payment Options

Click hereto learn more about our payment plans, financing options, discounts, and tax credits.

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FAQs

Are these courses beginner friendly?

Well, kind-of 🤔. We've seen sooo many students who were beginners excel in either of our programs, in fact this makes up the majority of our students. But these are still pretty tough courses 💪🏽 - so when you apply, you'll meet with one of our learning advisors to make sure this is the right fit for you.

How many students are in a class?

To keep our classes intimate we find the ideal size is less than 25. From our experience, this creates the perfect dynamic of collaboration and class energy.

What are my payment options?

For a complete breakdown of payment options, check out this document.

Don’t see your question? Email us, we want to hear from you!

Book a call with our admissions manager

Feeling like you have more questions than answers 🤔 - we feel you. Book a time with us here so we can chat.