Looking to learn the Python programming language? In this post, we’ve covered some of the best Python courses & certification programs to help you get started.
The Python programming language provides the base for many types of data science projects, platforms, and frameworks; not mastering it cuts you off at the knees in this career field.
Luckily, Python is an intuitive programming language with lots of documentation and a thriving community. Getting started isn’t too difficult either, but if you need a little more guidance, here are a few places to start. This list of Python courses and certifications will get you well on your way to mastery.
1. Python for Everybody Specialization (Coursera)
Sections: 5 Courses
Coursera’s popular “Python for Everybody” course gets expanded with this specialization series. If you’re planning to enter the data science field, you’ll need a mastery of Python, and this specialization can help ensure that happens.
It includes four different courses designed to take you from the foundational skills in Python for Everybody to the mastery of Using Databases with Python. You’ll learn not only the Python syntax but explore procedural programming and SQL as well.
It includes everything you need to learn and practice your Python skills, including a hands-on project required to complete the specialization. You’ll earn an official certificate of completion and should be able to finish the specialization in around four months with the suggested 12 hours per week commitment.
The course was created by the University of Michigan and is taught by a professor in the School of Information. The course provides beginners with the stepping stones for mastering data science skills within a Python discipline and should provide the first steps to a career.
- The specialization includes four courses in the series
- Requires a hands-on project for completion
- Provides a verified certificate of completion that can be shared directly to LinkedIn
2. Introduction to Python Programming (edX)
School: Georgia Tech
Length: 8 weeks
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This Python course series is a partnership between edX.org and Georgia Tech. It offers a four-course series in foundational Python skills for data science, including an introduction to the syntax. It’s suitable for beginners to intermediate students.
The first course introduces syntax, and from there, you’ll be able to explore data structures and algorithms, including object-oriented programming. The courses teach you the basics plus more sophisticated ways to manage data for your career.
You can take the courses separately for free, but to pursue the official course series, it’s not free. However, compared to a boot camp or a university certification, it’s a less expensive alternative. You can complete courses on your own time and from the comfort of your own home.
It should take you about five months to complete with a time commitment of nine to ten hours per week. You’ll gain official certification from Georgia Tech, a leader in the field of technology, without having to move.
The course mirrors an on-campus offering Georgia Tech has offered for many years, so the material is tested and effective. It has no prerequisites, and no previous experience is necessary beyond a basic understanding of computers.
- Mirrors an on-campus program from Georgia Tech
- Course series moves from beginner to advanced
- Specialization was shortlisted for a Wharton Reimagine Education Award
3. Introduction to Computer Science and Programming Using Python (edX)
Length: 9 weeks
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If you need a quick introduction to Python, edX.org’s course could be an excellent way to refresh or begin those foundational skills without a full course series commitment. This course was created by MIT, arguably one of the prominent universities in the world, and is great for beginners or those with experience in a different programming language.
You’ll gain an understanding of foundational Python skills, including simple syntax and beginning algorithms. You’ll be introduced to testing and debugging principles and receive a primer on algorithmic complexity.
You’ll have lecture videos, course exercises, and problem sets. The course focuses on breadth as a principle, so you’ll gain an understanding of what it entails to work within the entire Python ecosystem.
You can take the course for free or pay for an official certificate. Course instructors are lecturers from MIT, and the course should take you around nine weeks at a time commitment of 14 or so hours per week. It’s part of a data science x-series on edX, so you’ll be able to move forward with other skills if you decide to.
- An MIT-created and taught course
- Primer for Python with a focus on breadth
- Offered free but with the option of paid, verified certificate of completion
4. Complete Python Bootcamp: Go from zero to hero in Python 3 (Udemy)
Udemy’s course provides a comprehensive overview of programming in Python. You can start from the beginning with 24 hours of instructional video, 18 articles, 19 coding exercises, and lifetime access to the course.
The course is designed to introduce you to Python 3, but it includes notes for Python 2 as well. The skills are transferable, and you’ll be able to build on these foundational skills step by step. It starts from the beginning, offering those without any programming experience the chance to get started without confusion.
The course is designed by Jose Portilla, a head data scientist and technology trainer with experience teaching different types of programming. You’ll get to know Python as well as differences between later versions and Python 3 from the privacy of your own home and on your own time.
Udemy’s courses aren’t free, but you gain lifetime access to any course you buy, and you also receive an official certificate of completion that you can show potential employers. This is good for a complete overview of beginner to advanced functions in Python and for skills to work in a variety of fields.
- A comprehensive overview of working in Python for a variety of fields
- Over 24 hours of video instruction
- Taught by a working data scientist with teaching experience
5. Python for Data Science and Machine Learning Bootcamp (Udemy)
This course series is excellent for budding data scientists who need an understanding of working with various Python-based frameworks. It includes things like Scikit-Learn, Pandas, Tensorflow, and other frameworks for machine and deep learning.
This course series is targeted specifically to the work of a data scientist. You’ll learn Python syntax and operations, as well as gain experience working with Python-based programs in the field of data science. These skills are foundational to your career, and you’ll get a comprehensive look at how it all fits together.
The course includes over 22 hours of on-demand instructional videos, ten articles, and four downloadable resources. It’s not free, but you’ll get lifetime access with on-demand classes you can take at your own pace.
The course was designed by Jose Portilla, a certified trainer and head data scientist with experience in real-world applications. You’ll learn from the knowledge and expertise of someone in the field and use real problem sets to build your skills.
- Data science-focused instructional course for those breaking into the field
- Over 22 hours of instructional videos
- A comprehensive overview of Python and Python-based frameworks
Adding Python to your skillset provides you with the knowledge and understanding to work with some of the most common data science frameworks in the field. You’ll be able to maneuver, create, and problem-solve with your foundational understanding and receive instruction from some of the best in the field. No matter where you are in your data science training, these courses can provide huge stepping stones to get you where you want to go.