Data Science Bootcamps Canada

This data science program uses project-based learning to teach students data analysis, modeling, and programming in Python. Using Synapse, a data-driven learning management system, students will learn how to clean and analyze data, create visualizations, and use the fundamental components of programming to work with Python, Pandas, and NumPy. Students can choose between online and on-campus options.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks of part-time study, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those focused on AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal and specialized career path in the industry.

Gain in-demand SQL skills with expert-led training that prepares you for the Oracle Database SQL Certified Associate exam. Learn to write queries, analyze data, and navigate real-world database environments using PostgreSQL and other major platforms.

Learn to transform raw data into compelling, interactive visuals using Python libraries like Matplotlib, Seaborn, Plotly, and Dash. This self-paced course guides you through hands-on projects and real-time mentoring as you build and deploy your own professional dashboard.

Build AI-powered web apps using Python, Flask, and the OpenAI API in this advanced, hands-on course. Learn to create interactive applications that integrate real-time sentiment analysis and dynamic content.

This data analytics course serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program is available online or on campus, with instruction from experienced data analysts. Graduates are equipped to solve real-world data problems.

This nine-week bootcamp gives participants the skills they need to join data science teams or accelerate their current career growth. Learn how to convert raw data into insightful information. Specific course topics include understanding basic statistical theories, using Python to write code, using Seaborn and matplotlib to visualize data, using SQL to manage databases, publishing findings, data processing, using performance metrics, overfitting, unsupervised learning, managing images and text, understanding neural networks, applying computer vision techniques, machine learning, and a capstone project.

If you want to become a data scientist, you should enroll in this intensive twelve-week bootcamp. Participants learn how to extract data from multiple sources to empower decision-makers. Specific course topics include Python, GitHub, and other foundational data tools, Matplotlib, Seaborn, and other data visualization tools, Flask, Docker, and other data engineering platforms, data wrangling using JSON, SQL, and XML, machine learning models, and deep learning techniques.