Coding Classes Toronto

This program prepares students to enter the web development field, in as few as 12 weeks. Students will explore full-stack development tools, such as HTML5, CSS3, JavaScript, PHP, Bootstrap, jQuery, and much more. Graduates of this program will also benefit from career and job matching services.

This coding workshop is a beginner-friendly bootcamp designed for individuals looking to launch or shift into a career like web design or web development. In this hands-on bootcamp, students will be introduced to web development fundamentals and learn the basics of JavaScript, arguably the most essential coding language for front-end web development.

This software engineering program is designed to help individuals with little to no programming or computer science experience get up to speed and launch a career in tech. Through their blended learning model, students will be able to hone their tech skills through 14 hours of preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their software engineering journeys by learning the fundamentals in software engineering, like coding with HTML, CSS, and JavaScript. As the course progresses, students will become familiar with Front-End and Full-Stack Development, focusing on algorithmic thinking, core programming concepts, and debugging best practices. The course concludes with Front-End Frameworks, incorporating APIs into Full-Stack Development. This course culminates with a final lab project where students get to apply their newly acquired software engineering skills to build an application.

This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

Data Science Bootcamp is a 5 day course that covers data science workflow fundamentals. In each 10 hour class, you will learn everything from data wrangling, visualization, probability, statistics, supervised and unsupervised machine learning algorithms, experimentation design, and data mining. You will have a chance to implement what you've learnt by competing in Kaggle and developing prediction algorithms.

Newcomers to web development learn about coding in this introductory course. including working with the basics of HTML and CSS. Students go beyond the basics into incorporating responsive development and creating the finishing touches of their projects with one-on-one mentorship. By the end of the session, they’ll have web projects build from scratch to include in their portfolio.

Those who have web development skills in HTML and CSS learn how to use JavaScript to make their websites interactive. Topics covered in this course include adding elements to a website with functioning inputs and animations and learning about the advantages of adding higher-level projects into their portfolios that incorporate JavaScript.

Students discover how React’s library increases JavaScript workflow in web development. Attendees of this course learn industry standards including skills in components, props, state values, event handling, React Hooks, and lifecycle methods. Students also learn commonly used React libraries such as React Router and Redux.

In this course, students are introduced to back end concepts, including HTTP requests, client and service communication, API implementation, and data persistence with document-oriented database systems. More information is provided on end-user and client-server authentication, security techniques, cloud-hosted deployment, project dependency management, and bundling tools.

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 take advantage of online and on-campus options.