Among the several programming languages today, python is an easily readable, simplistic, and all-purpose programming language. These features have endeared python to data analysts, web developers, AI engineers, and other computer-related niches.
Python programming certification is also one of the top programming certifications employers look for today, and having proficiency in python programming could set you apart from numerous applicants.
If you are interested in adding a python certification to your portfolio, you will find this article helpful. With a list of good python certification programs in Canada, this article will help you decide which Python programming classes are best for you.
Do you prefer the self-taught route? Read this guide!
What Are Good Python Certification Programs in Canada
Python is a high-level, dynamically integrated object-oriented programming language. It's mainly employed in web and app development. Python's high-level built-in data structures, dynamic typing, and dynamic binding possibilities make it a good choice for the field of rapid application development. Python's simplicity is one of its advantages. It is open-source, simple to use, and straightforward to understand.
See how you get talented python online tutor here.
In Canada, there are numerous python certification programs and bootcamps that you could take advantage of and become a skilled python programmer. The famous 10 Python training courses, certifications, classes, tutorials, and classes in Canada are listed below. Numerous users have profited from these resources, and the courses are well-suited for beginning, intermediate, and advanced learners. To find out more about Python training programs in Toronto, just type "Python training Toronto" in your browser.
Programming in Python: From the basics to Object-Oriented Programming
Superprof tutors teach python courses, with these complete and detailed lessons on python programming that takes the student through the basics of programming in python to advanced python lessons in object-oriented programming.
Focusing on Python 2 and 3, this course provides relevant knowledge for enrolled students to build their applications and games. Via several tests, projects, interactive sessions, quizzes, etc., Superprof ensures that students have the best learning experience. Students without prior programming skills can enrol for this course as it builds a complete understanding of python from the basics.
Course Highlights
- Teaches various advanced Python features, including the collections module and how to work with timestamps
- It helps the student to understand complex topics, like decorators
- Provides an understanding of how to create GUIs in the Jupyter Notebook system
- Teaches students how to use Object Oriented Programming with classes
- Helps students to understand how to use both the Jupyter Notebook and create .py files
- Includes three major projects to create a Python project portfolio
- Teaches students how to develop games with Python, like Tic Tac Toe and Blackjack
Algorithmic Thinking and Programming Fundamentals with Python and Java
This is yet another python programming course available on Superprof for students interested in taking python lessons online. This course offers an in-depth study of mathematical and computational thinking fundamentals, providing students with the best approaches to tackle problems.
With Superprof, learning is synonymous with convenience. Classes and tutorial sessions can be scheduled to suit students' busy schedules. In addition, virtual classes allow students anywhere in Canada to take up Python lessons in Canada.
Python Programming and SQL Course
Python learning is usually incomplete without hands-on experience and student practice. This is why the Python Programming and SQL Courses on Superprof are dedicated to teaching the newbie python student the practical alongside the theory aspects of Python. Assignments, practice programs, and study projects are spread out strategically for students throughout their learning period/process. Course lessons span between 2-3 hours on average and take the student through a personalized lecture plan so that the student learns at their own pace.
Beginner programmers will find the primary sample and real-life samples merged into implementable logic through programming helpful.
Data Analyst, a graduate of AWS re/Start, and Certified AWS Cloud Practitioner, Utomi, takes students through this wholesome Python programming program.
Python Nanodegree Program
Via Udacity's Python Nanodegree Program is an excellent avenue for anyone interested in a python certification. This Python certification program is divided into two parts to accommodate learners of different proficiency levels, namely:
Intermediate Python
This course is specifically designed for students who already have a basic knowledge of python programming, as it teaches intermediate-level skills for programming with the python language. With this course, students who already have a foundational understanding of python and have built projects alone can up their game.
This course exposes the enrolled student to object-oriented programming, Python objects, control flow, and debugging. By the end of the period, students will be able to use python skills to analyze data, design their own web applications' backends, and build apps with more advanced algorithms like file classification, web page data mining, image resizing, word counts, etc.
This program is further divided into two modules. Combined, these modules cover the following topics:
- Python data types, sets, objects, and collections include lists, dictionaries, and tuples.
- Object-oriented programming
- Python functions and functional programming
- File I/O
- Using Open source libraries
- Building modules with Python
After the course completion, students will be adequately equipped with job-ready skills for roles in AI Engineering, Data Science, Software Engineering, etc. If you ever need help you can always find a Python tutor on Superprof.
Programming for Data Science with Python
This aspect of the python program is curated and ideal for beginners without any foundational knowledge of Python programming. This program covers all the data programming tools, such as Python, Command Line, Git, and SQL. Once the student completes the course, they will have gained sufficient knowledge of Python programming fundamentals.
This course is separated into three sections, namely:
i.) Introduction to SQL
ii.) Introduction to Python
iii.) Introduction to Version Control
With each python programming section, you'll learn:
- Data storage and representation with Python data types and variables
- complex data structures such as sets, lists, dictionaries, and tuples to store collections of related data.
- The python libraries are Pandas and Numpy, a data manipulation package and a scientific computing package, respectively.
- How to create custom functions, handle errors and write scripts.
- Using conditionals and loops to control the flow of your programs
This certification course allows the enrolled student to gain practitioner-level skills with python by building real-world projects and a rich portfolio of projects which would further demonstrate their skills to employers.
Python for Data Science Bootcamp
This is yet another python learning program that offers students who enrol a wholesome training on python programming, irrespective of their proficiency level. Anyone interested in this python certification can register for their python classes online or in person in NYC. Via live online learning, students receive hands-on and project-based training from python experts.
Instructional and coaching sessions add up to 30 hours, and students who enrol have the option of a free retake within one year. Upon completing this program, students will learn how to develop programs, work with data in python, generate data visualizations, and utilize statistics to create machine-learning models. Students will also receive a verified digital certificate of completion that asserts and recommends their proficiencies to employers.
This Python certification program is separated into five parts for students with little or no knowledge of python to build their python skills. These five parts include:
- Python Fundamentals
This aspect covers the basics of python in the first few lessons, including how to create variables, write simple statements and expressions, comprehend various data types, use functions and methods, work with lists, index and slice lists, and more. In addition, it introduces ideas like object-oriented programming and IDLE programming.
Students will learn to work with several data types, including strings, lists, dictionaries, and tuples. Understanding when to use each data type will be crucial because each has a specific function.
- Structuring Programs
The second part of this course covers control flow tools and conditional statements. The Boolean Operations, If/Else Statements, and many loop types are included in this part. This aspect assists enrolled students in mastering these topics because they account for a sizable percentage of the functionality in their code. In this course, you would learn how to use packages, develop for loops to iterate through data, interact with dictionaries, and create functions in python.
- Arrays and Dataframes
The third module of the course introduces data science operations and tools. You will learn to use NumPy and Pandas to import and clean data. In addition, you'll discover how to manage data, generate descriptive statistics for your data, and deal with Pandas dataframes.
- Visualizing & Analyzing Data
In this section, you’ll learn to visualize and analyze data with critical data science libraries, including NumPy, Matplotlib, and Pandas. You will also learn to filter and clean data, group and pivot data, and start generating insights from your data with exploratory data analysis. Then create visualizations, including histograms, bar charts, and advanced visualization, for straightforward interpretation and sharing of your data insights.
Linear Regression
Once the enrolled students have learned how to clean data and conduct EDA, the course will teach data science workflows and fundamental statistics. These topics are critical in ensuring that the data you are using to train your models is not biased. Finally, you'll learn how to use statistics to develop machine-learning models. Start building models and evaluating them on your way to machine learning.
Wrapping Up
As highlighted above, there are many ways to become a python-certified professional. So, take the proper steps to sign up for python lessons and get python certification in Canada. With Superprof, it is easy to find a python tutor near me and get certified after completing several python lessons.
See how to learn python in the university.
Did you like this article? Leave a rating!
Loading...
