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Python is a versatile, powerful, and popular programming language that can help you achieve your coding goals. Whether you want to work with data, web development, machine learning, or other domains, Python has the tools and libraries you need. To learn Python programming effectively, you need to find the best Python classes in Canada that suit your schedule, budget, and skill level. In this article, we have reviewed some of the top Python courses and boot camps in Canada, both online and in-person, that can teach you Python classes from scratch or help you advance your existing skills. By enrolling in one of these courses, you will not only learn Python, but also get access to expert instructors, hands-on projects, peer support, and career guidance.
Here are some of the best Python classes in Canada
Learn Python, the world's fastest-growing major programming language, and start using its diverse features to create online and data science applications. This course is available both in person and live online, in a remote classroom format. This course is also available online.
This certificate programme provides an introduction to Python programming. Students may learn from skilled programmers both online and on campus. Syntax, data types, and operators will be covered first, followed by more sophisticated data kinds and algorithm basics. Students will also study data manipulation and Python tools.
Students in this data science boot camp will learn programming and data analysis skills in Python. This course is designed for beginners and aims to get them up and running with Python programming and data science to develop insights from data. The course covers programming foundations, dealing with data frames, data analysis, data visualisation, and statistical analysis. This course provides students with various scheduling choices as well as a free retake to refresh their knowledge of the topic.
This course expands students' Python programming abilities to include machine learning and algorithms capable of understanding patterns and making decisions on their own. The course begins with linear and logistic regressions, the most tried and true methods for handling a machine-learning problem. Students then go on to algorithms with alternative theoretical bases, such as k-nearest neighbours, decision trees, and random forests. This will highlight fundamental statistical concepts including bias, variance, and overfitting. Participants also learn how to evaluate the correctness of their models, as well as how to select effective features and methods.
Learn the necessary skills and tools for becoming a Python developer. This beginner-friendly course introduces students to Python for software development using Django and Django REST, as well as additional developer tools like Git and SQL. Students who complete this credential will be eligible to apply for the following positions: Python Developer, Back End Developer, Software Engineer, and many more.
This two-day seminar delves deeply into Python's data analysis capabilities. Students will become familiar with the fundamentals of Python programming and begin working with Numpy Arrays, pandas, and MATPLOTLIB to do data analysis and generate data visualisations. This intense Python course is designed to swiftly get newcomers up to speed on data analysis and visualisation in Python.
This 5-day beginning Python programming course is intended for students who have no prior programming expertise and want to become familiar with the fundamental skills required for Python programming. This skills-focused course will cover fundamental Python topics such as data types, control statements, function and module use, exception handling and debugging, list manipulation, and how to work with a range of data kinds. By the end of the course, students will be comfortable developing programs to build real-world Python applications.
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