10 Best Python Courses & Certifications Online In 2023
Elevate your Python programming skills in 2023 with our expert-curated list of the top 10 Python courses, meticulously researched and reviewed by millions of knowledgeable students, to help you confidently tackle a diverse array of projects and unlock your potential.
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Are you looking to master Python programming? We've got you covered! Our team has exhaustively researched 3,152 popular Python courses from various providers, with a combined enrollment of over 80,316,976 students who have shared their insights through 5,314,386 ratings and reviews. After evaluating these courses based on rating, student feedback, valuable and engaging content, comprehensive curriculum, release date, and affordability, we've combined these metrics with our extensive experience and expertise in the field to compile a definitive list of the top 10 Python courses available online.
Whether you're a beginner just getting started, an experienced professional looking to expand your knowledge, or someone interested in applying Python for research, data science, or network engineering, this list features courses tailored to suit your unique needs. The carefully handpicked selection of courses offers something for everyone, ranging from Python basics to advanced concepts, automation, and testing, even catering to non-programmers. Don't miss out on the opportunity to elevate your Python skills and confidently tackle a diverse array of projects - dive in now and unlock your true potential!
This course offers an excellent introduction to the foundations of programming, specifically tailored for those with no prior exposure to the field. Through the use of Python, one of the most popular and versatile programming languages, learners will gain a solid understanding of basic programming structures and concepts. Topics covered include the benefits of programming in IT roles, writing simple Python programs, and exploring the building blocks of programming and their interconnections. The ultimate goal is to develop the skills necessary to tackle complex programming challenges with confidence.
As the course progresses, learners will engage with hands-on activities, interactive exercises, and real-world examples to reinforce their understanding of the material. This engaging and practical approach allows students to quickly grasp the wide array of tasks that computers are capable of performing, as well as how to write clear and efficient code to direct these operations. Overall, this comprehensive crash course is a perfect starting point for anyone looking to build a strong foundation in programming and take their first steps in the exciting world of Python.
User review:
The Crash Course on Python offered on Coursera is a comprehensive introduction to the programming language. The course is well-structured and covers all the essential aspects of Python, including basic syntax, data types, control structures, functions, and object-oriented programming.
One of the strengths of the course is the clear and concise explanations provided by the instructor. The examples used are relevant and help to reinforce the concepts covered in the lectures. Additionally, the course provides ample opportunities for hands-on practice with coding exercises and quizzes.
The course's pacing is just right, allowing learners to absorb the material without feeling rushed. The content is also relevant and up-to-date, ensuring that learners are equipped with the latest knowledge and skills.
Overall, I highly recommend the Crash Course on Python for anyone looking to learn Python programming. The course is well-designed, engaging, and provides a solid foundation for further learning. I would rate this course 4.5 out of 5. [1]... Read More
Manjunatha K
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This course is ideal for individuals with no prior programming exposure who wish to build a strong foundation in programming and Python by engaging in hands-on activities, interactive exercises, and real-world examples.
This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook "Fundamentals of Python Programming," which is the accompanying text (optional and free) for this course.
The course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. This is the first of five courses in the Python 3 Programming Specialization.
User review:
This was an excellent first course in Python. I found the 2 primary lecturers (Profs. Reznick and Oney) to be clear in their instruction. The examples and exercises were well thought out and took an incremental approach: that is, exercises started with "regurgitating" the new material that was presented and then extended it (and prior material) in subsequent exercises. The Runestone "textbook" was an excellent environment in which to read, program and experiment.
In general, I thought the course material was coherent for a first course, but the Turtle section seemed a bit out of place.
I really appreciated Prof Reznick's sense of humor, although I can understand that others might find it ap-PAUL-ing. Still, he comes across as a caring prof, whose tone of voice conveys "expert programmer" and sense of humor "sweet, caring guy." Al in all, not a bad combination. (yes, "expert programmer" is a kind way of saying "total MIT nerd," which in this context, is the highest of praise!) [2]... Read More
Jonathan L
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This course is ideal for those seeking to learn Python programming from scratch, obtain a beginner-level understanding of the language, or refresh their fundamental Python knowledge, even without prior programming experience.
This intermediate-level Python course is designed to take learners beyond the basics and equip them with the skills necessary to apply Python 3 to research projects. The curriculum covers a wide range of research-oriented tools and techniques, providing a solid foundation for advanced Python learning. Additionally, the course's updated version includes a new module on statistical learning, further expanding upon the useful applications of Python in research settings.
Learners will have the opportunity to practice their Python skills with hands-on case studies carefully selected for their scientific scope and representation of diverse Python features. Through a blend of guided instruction and independent exploration, participants will deepen their understanding of the programming language and gain the confidence to tackle complex research challenges using Python.
Best for:
This course is best for those looking to effectively apply Python programming to research projects, and to gain a solid foundation in research-oriented tools and techniques. It also includes a module on statistical learning, making it suitable for those interested in data science applications.
Dive into the world of data science with this comprehensive course that focuses on teaching you the essential Python tools for analyzing, manipulating, and visualizing complex datasets. By mastering these open-source tools, you'll be empowered to gain valuable insights from the vast array of data available in various domains such as politics, business, and science. This course serves as a crucial step in your journey towards becoming a proficient data scientist and a contributing member of the global community dedicated to developing new tools and sharing findings.
Throughout the course, you'll learn to utilize tools such as Python, Jupyter notebooks, Pandas, NumPy, Matplotlib, and Git, all within the context of solving real-world data science problems. You'll practice importing data, exploring it, conducting analyses, and generating shareable reports using Python, thereby establishing a strong foundation of knowledge and skills. As part of the Data Science MicroMasters program, this course will also prepare you for further success in your data science education and career. Equip yourself with the tools and techniques to thrive in the information age and unlock invaluable answers hidden within the data around us.
Best for:
This course is ideal for individuals seeking to utilize Python for data science, as it covers essential tools for analyzing, manipulating, and visualizing complex datasets, enabling learners to gain valuable insights from various domains.
This course offers a comprehensive introduction to Python programming, designed to help learners grasp the fundamental concepts and build a strong foundation in the language. The curriculum is suitable for people with little to no programming experience, as well as those looking to improve their existing Python skills. With an emphasis on learning by practice, the course guides students through the process of installing a text editor, writing their first lines of code, and creating small, functional applications in Python.
The structure of the course is aimed at promoting a thorough understanding of Python functions, formulas, and other features. The curriculum is designed to teach students not only the language itself but also the mindset required for programming. By balancing theory with practical examples, learners will gain the ability to write code independently and understand the logic behind each command. Upon completion of the course, students will have the knowledge and skills necessary to think like a programmer and create small, basic Python projects.
User review:
The course was easy to understand because there was not much jargon being thrown which would throw off a beginner like me. The time per lesson was efficient and the projects really helped enforce some of the lessons. I think there were three slightly imperfections that I noticed. One is the way the course is structured. I think it could have improved like when storing data you should begin with variables, list, tuples then dictionaries. There's also a lack on project which can enforce learning. I would also like to encourage the instructor to provide with websites which delves deeper into the concepts he is trying to teach.
overall, great course. : ) [3]... Read More
Marlon R. Mangibin
Best for:
This course is perfect for individuals looking to learn Python programming from scratch and build a strong foundation in the language. With a combination of theoretical and practical lessons, learners will acquire the skills to create small, basic Python projects independently.
This comprehensive course is designed for network engineers who wish to delve into the world of network automation using Python 3. The course prioritizes a practical approach over abstract programming concepts, enabling learners to start programming network devices within minutes. With the use of GNS3, Cisco IOS, and Python, learners will be introduced to automating Cisco networks and configuring routers and switches through hands-on demonstrations.
As the days of configuring Cisco networks using only the command line interface (CLI) are coming to an end, this course emphasizes the importance of adding network programmability using Python and APIs to your skill set. Learners will be exposed to various tools, such as Telnet, SSH, Paramiko, Netmiko, and NAPALM, which make it much easier to configure and interact with network devices through an API or SSH. This practical approach to network automation equips learners with valuable skills to tackle real-world challenges in the networking field.
User review:
This course was just what I needed. I had already got halfway through a Python course geared toward Programmers, but this one is more for individuals interested in what it can do for Networking. I was really a big fan of how the first few sections show examples instead of jumping into theory. It put my overwhelming thoughts at ease as I realized it doesn't take tons of math and programming knowledge to write some of these scripts. Well done, David, once again! This is the 4th Bombal course I've bought and I'm betting you I'm not done. The guy knows his stuff. [4]... Read More
Brad Eyman
Best for:
This course is ideal for network engineers seeking to incorporate Python 3 into their network automation skill set, focusing on practical applications such as configuring routers and switches using Python and APIs, as well as using tools like Telnet, SSH, Paramiko, Netmiko, and NAPALM to interact with network devices.
Begin your journey with Python, the popular and highly-readable object-oriented language that is both powerful and relatively easy to learn. Whether you're new to programming or an experienced developer, this course is designed to help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program.
Throughout this course, you will not only gain a strong foundation in Python but also learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web. By developing a comprehensive understanding of these essential Python skills, you can advance your programming capabilities and enhance your projects, making you a more proficient and efficient programmer. Embrace the versatility and simplicity of Python and embark on your journey towards mastery of this widely-used programming language.
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This course is ideal for mastering Python fundamentals, developing a strong foundation, and learning essential skills such as working with dates, times, files, and web data formats.
This advanced course focuses on enhancing your knowledge of Python and developing your scripting skills. By mastering the sophisticated features of Python, such as object-oriented special class methods, you become well-equipped to build various applications. With its high flexibility and power, Python has become a popular choice among developers, and this course aims to help you take full advantage of its potential.
Throughout the course, you will learn how to incorporate logging to monitor performance and user activity, understand code porting from Python 2 to 3, and improve code efficiency, readability, and maintainability. In addition, the instructor, Joe Marini, provides valuable insights on data manipulation, custom class and function development, and creating lists. By gaining advanced Python knowledge and skills, you will be better prepared to create elegant, optimized code and tackle complex programming projects with confidence.
Best for:
This course is ideal for enhancing your knowledge of Python and developing your scripting skills, focusing on object-oriented special class methods, code porting, and efficiency improvements. It equips you to tackle complex programming projects with confidence.
Automation is the key to reducing the time spent on manual testing of user interfaces, and this course offers an excellent opportunity to master this skill using Python and Selenium. Under the guidance of instructor Bhoomika Agarwal, learners will be introduced to using Selenium WebDriver and Python code in order to streamline and enhance the web UI testing process. The course covers a range of essential topics, including locating elements, navigating pages, testing user interactions with forms and drag-and-drop elements, and effectively managing test timing and execution through the use of waits.
This practical course is designed to offer immediate applicability to your development workflow, enhancing your efficiency and productivity in the process. As you progress through the course, you will also encounter various challenges that serve to hone your skills and test your newfound knowledge. By leveraging the power of Python and Selenium, you will be well-equipped to tackle web UI testing with confidence and precision, thereby greatly improving your overall development process. Invest your time in understanding the nuances of Python automation and testing, and unlock the potential of automated web UI testing to streamline your work.
Best for:
This course is ideal for those who wish to streamline web user interface testing using Python and Selenium, enhancing their development workflow and improving overall efficiency.
This comprehensive course offers beginners and non-programmers an opportunity to explore the basics of Python, one of the easiest programming languages to learn. Ditching complex jargon and focusing on fun, the course is led by instructor Nick Walter, who guides you through everything necessary to begin mastering Python. Geared towards those with little to no coding experience, it covers an array of topics, such as numbers, simple programs, and even a number-guessing game. Furthermore, the course delves into Python's interaction with text, providing attendees with hands-on challenges to put their newfound knowledge to the test.
Designed to teach the fundamentals of Python in an engaging and uncomplicated manner, this course focuses on practical applications rather than theoretical principles. Discover how to build reusable functions to count words in a block of text or participate in quick exercises to build your confidence with Python. By the end of the course, you will have a solid understanding of how Python is used in various scenarios and be well on your way towards mastering this versatile programming language. Whether you're a beginner looking to start your programming journey or a non-programmer seeking ways to expand your skill set, this course provides the perfect foundation for a successful journey with Python.
Best for:
This course is ideal for beginners and non-programmers looking to explore Python basics in an engaging and uncomplicated manner, focusing on practical applications and hands-on challenges instead of theoretical principles.
As a learner looking to choose the best Python course, several factors must be considered to ensure you select the most suitable one that aligns with your learning objectives and requirements. This guide will provide you with important aspects to look out for in order to make an informed decision.
First, consider your current knowledge and experience level in programming. If you are starting from scratch, focus on courses that cater to non-programmers, whereas if you have a basic understanding, opt for intermediate or advanced courses.
Second, identify your primary use case for learning Python – research, data science, network engineering, automation, or just for becoming proficient in the basics. This will help you narrow down courses tailored to your specific needs.
Third, explore courses that emphasize hands-on learning, projects, and real-world application to enhance your problem-solving skills.
Lastly, check the course reviews and instructor feedback to gauge the overall effectiveness of each course in helping learners achieve their goals.
With these key points in mind, you will be able to choose a Python course that aligns with your learning objectives, requirements, and skills, setting yourself up for a successful learning experience.
Conclusion
In conclusion, this comprehensive list of Python courses caters to learners with a variety of goals, ranging from beginners to experts, and has been meticulously curated to ensure the best possible learning experience. Regardless of your objective - be it to learn Python from scratch, to use it for research purposes, to master Python for data science, or to gain Python proficiency in network engineering - these courses will provide invaluable knowledge and guidance.
Embarking on one of these courses, even without prior programming experience, will set you on a path to confidently automate processes, test applications, and eventually become an expert in Python programming. With a plethora of beginner to advanced courses, now is the perfect time to seize the opportunity to enhance your skills or expand your expertise. Don't wait any longer - dive into the world of Python programming and unlock your potential today!
How much does a python course cost?
The cost of a Python course varies depending on the platform and whether you want a certificate. Some platforms offer free courses without a certificate, while others have subscription-based pricing or individual course fees. You can find courses ranging from $14.99 to $350, and subscriptions from $19.99/month to $59/month.
How long do python courses take?
The duration of Python courses may vary depending on the course's depth and intensity. Online courses can range from a couple of hours to over 100 hours. It ultimately depends on the content of the course, the learner's pace, and commitment to completing the course.
Which platform should I choose for learning Python?
The choice of platform depends on your learning style, budget, and desired course features. Coursera, edX, Udemy, and LinkedIn Learning all offer high-quality Python courses, but they have different pricing and course structures. You should research each platform's offerings, read user reviews, and evaluate the instructors' expertise before making a decision.
