General Information of Online Python Programming Certificate
An online Python programming certificate focuses on providing all the conceptual and practical skills necessary to handle software development with Python programming language. These certificate programs cover core Python concepts along with advanced concepts; they also include web development, software development, and data analysis. Most of the programs offer hands-on practicum opportunities. These programs are a good fit for working professionals looking to develop their Python programming skills and non-programmers looking for a career as a software developer. The uncomplicated and straightforward concepts of Python makes the learning computer programming easy for students and novice programmers.
Generally, most of the certificates do not require any degree as a prerequisite. However, there are different levels of certificate programs available for learners with bachelor's or master's degrees. Many schools offer certificate programs in a 100% online delivery format offering flexible self-paced learning. Although the duration of each certificate varies from school to school based on its level and the curriculum, students can usually complete the certificate within a year. Some schools offer STEM-designated online Python certificate programs and also include an internship.
Online Python Programming Certificate Requirements
Online certificate programs require students to understand several basic concepts of Python language. The curriculum includes topics related to best coding practices, documentation, coding styles, and different work environments. Some of the core courses are described below.
Core Courses in Python Programming Certificate
Fundamentals of Python Programming
This course introduces the syntax and coding basics of Python language and it also explains functions, recursion, iterations, classes, and inheritance. Students can learn the best coding practices, the importance of documentation, command-line programs, and setting up the development environment. It also discusses concepts related to object-oriented programming, test-driven development, and handling common abstractions.
Advanced Concepts in Python Programming
This course typically deals with advanced topics like modularity, parallelism, concurrency, reactive programming, design patterns, and metaprogramming. Students can learn profiling and work with iterators and generators. They can also explore topics like asynchronous programming, database connectivity, and microservices.
Unit Testing and Debugging the Python Code
This course emphasizes the importance of debugging and unit testing in software programming, and it also introduces tools and packages to test and debug Python code. Students will learn unit testing strategies like mocking, code coverage, parameterization, and refactoring. Students can also explore several testing frameworks and modules.
Career Overview of Python Developers
Mastering the Python programming language can open up several job opportunities as a web developer, software application developer, data analyst, and data scientist, etc. Students holding at least a bachelor's degree can increase their chances of an entry-level job as a software developer. Some companies also hire people with an associate degree and a Python certificate as computer programmers. However, job growth depends on various other factors like educational qualification, coding skills, work experience, additional skills, and certifications.
According to the U.S. Bureau of Labor Statistics (BLS), the median pay for software developers in 2018 was $50.77 per hour and $105,590 per year; the expected job growth is 21% (much faster than average) between 2018-2028. The BLS also states that, in 2019, computer programmers earned a median pay of $86,550 per year and $41.61 per hour, but jobs are expected to decline by 7% during 2018-2028.
An online Python programming language certificate program offers a flexible self-paced learning option. Students pursuing this certificate can learn Python coding skills, debugging, unit testing, how to work with Python libraries, and data analysis skills.