Meet the global demand for technical problem-solvers by developing your coding skills to create full-stack web applications across multiple frameworks, incorporating functionality from third-party APIs, executing software engineering projects in an Agile development workflow, and more.

If you are interested in an in-person coding class in Toronto, you’ll find plenty of options to choose from. Schools offering face-to-face training sessions locally include General Assembly, New Horizons, Data Science DoJo, and BrainStation.

General Assembly offers a beginner-friendly Python Course. Students learn coding in Python through a hands-on approach by building programs and working with data. The course covers object-oriented programming and data science fundamentals.

Another class offered by General Assembly is a 10-week Data Science Course. This class is for students with a background in programming or a quantitative field. The class centers around Python programming and data exploration, data modeling, and machine learning.

General Assembly’s beginner-friendly Front End Web Development Course teaches students HTML and CSS to build and style a website and JavaScript to make a website interactive.

BrainStation’s Data Science Program teaches data analysis, modeling, and programming in Python. Using Synapse, students learn how to clean and analyze data, create visualizations, and use Python components such as Pandas and NumPy.

BrainStation also offers a Python Programming Certificate. Students start by learning syntax, data types, and operations, then move on to more advanced data types and the fundamentals of algorithms.

You can attend in-person SQL and Python classes at New Horizons. SQL Fundamentals Part One, offered by New Horizons, teaches students how to execute a simple query, use various functions to perform calculations on data, organize the data obtained from a query before it is displayed on the screen, retrieve data from multiple tables, and export the results.

In SQL Fundamentals Part Two, students use subqueries to generate query output, manipulate data, create indexes on table columns, and drop inefficient indexes. In the Using Data Science Tools in Python course, students learn about Python’s robust libraries and how to use them for analyzing and making visualizations from data.