Are you eager to dive into the world of Python programming but unsure about where to start on Coursera?
You’re not alone.
Choosing the right course can be a daunting task, especially with the multitude of options available.
You want to ensure that the course you select is effective and will provide you with the skills you need.
This page presents a ranking of the top Python courses, allowing you to make an informed decision.
By considering these reviews, you can confidently choose a course that’s not only highly rated by other learners but also aligns with your learning goals.
So, let’s get started on your Python programming journey!
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Google IT Automation With Python Professional Certificate
The following courses, offered by Google, are designed to provide you with a comprehensive understanding of Python and its application in real-world scenarios.
It’s a perfect fit for both highly-motivated beginners and experienced programmers, with a wide range of topics covered - from Python syntax and object-oriented programming to Git, GitHub, and cloud computing.
The courses under this certificate are designed to be practical and hands-on, offering you the chance to apply what you’ve learned through labs and final projects.
This approach not only helps solidify your understanding but also enables you to gain valuable experience that can be applied in your professional life.
Furthermore, the courses are taught by knowledgeable and engaging instructors, making the learning process enjoyable and effective.
It’s highly recommended that you take them in order, as part of the full certification, as they build on each other.
Crash Course on Python
This high-speed course, brought to you by Google, is not quite a beginner’s course.
You’ll need some grounding in Python or be ready to invest extra time learning the basics outside it.
The course layout is clear and logical, with sections introducing you to programming, basic Python syntax, loops, basic structures, and even a section on object-oriented programming.
The course concludes with a final project where you can put your new skills to the test. Each section is packed with concise, easy-to-digest videos.
Students’ opinions about the course are varied.
Some found it a valuable tool in developing their Python coding skills. They liked the exercises, which offered a chance to apply their new knowledge, and praised the course for being beginner-friendly. The instructor also received compliments for her effective teaching style.
However, others found the quizzes challenging and felt that the videos didn’t fully prepare them for these tests. They suggested the course could be improved with more practice exercises and detailed explanations.
The course does offer a unique feature - an optional section on object-oriented programming.
This part of the course delves into classes and objects in Python, how to define new classes, instance methods, constructors, and other special methods. This is a great addition if you’re looking to deepen your understanding of Python.
Using Python to Interact with the Operating System
Starting off, the course guides you on setting up your Python environment. From there, you’re taken on a journey through more complex topics.
You’ll learn about managing files with Python, using regular expressions, handling data and processes, testing in Python, and even Bash scripting. This wide coverage equips you with a comprehensive understanding of Python and its diverse applications.
The hands-on labs provide a practical, real-world experience.
Yes, they can be challenging due to the lack of explicit instructions. But look at it this way - they’re designed to stimulate your critical thinking and problem-solving skills.
The course culminates with a final project.
It’s a chance to apply all the knowledge you’ve absorbed. It might seem tough, but remember, it’s through overcoming challenges that we truly learn and grow.
However, it’s worth noting that this course isn’t for beginners. It’s best suited for those with some Python knowledge. It’s not a spoon-feeding course. It’s more about encouraging you to think, explore, and solve problems independently.
Introduction to Git and GitHub
You can’t go wrong by learning Git and GitHub.
These tools are essential for any programmer, and this course is a great place to start. It’s designed to guide you step-by-step through the basics.
One of the highlights of this course, as shared by several students, is its comprehensive coverage.
You’ll start from scratch, installing Git and taking your first steps with file tracking and understanding the Git workflow.
As you move forward, the course introduces you to more advanced concepts like branches, merging, and handling merge conflicts. You’ll also get hands-on experience with GitHub, learning about remotes, fetching new changes, and updating your local repository.
The final stages of the course delve into collaboration techniques, including pull requests, code reviews, and continuous integration.
Students have praised the course for its concise, to-the-point videos and clear explanations.
The instructor’s teaching pace was appreciated, keeping learners engaged without overwhelming them. The cheat sheets provided in each section were highlighted as particularly helpful resources, and the graded assignments were seen as a practical way to consolidate the week’s learning.
However, no course is perfect. Some students felt there was room for more practice exercises and visual aids to better illustrate concepts. There were also mentions of occasional bugs in the labs.
Despite a few areas that could be refined, the majority of students found the course valuable, praising the depth of the content and the clarity of instruction.
Troubleshooting and Debugging Techniques
This course provides tools and strategies to solve IT issues like crashing programs or slow-running systems.
You’ll dive into problem-solving steps, learn how to replicate issues, identify root causes, and tackle intermittent problems.
The course also sheds light on why computers may slow down, guides you on writing efficient code, and introduces the concept of using threads to speed up operations.
It features real-world scenarios and examples, drawn from Google’s extensive experience.
These practical illustrations help you visualize the concepts and techniques, making them easier to apply in your professional life.
An equally important aspect of the course is its coverage of essential soft skills.
You’ll learn about time management, communication, and setting realistic expectations - all crucial for succeeding in any IT role. The course also emphasizes proactive practices and future resource planning to prevent potential issues.
While some learners yearned for more Python practice, it’s important to remember that the course aims to provide you with a broad set of troubleshooting and debugging tools, not just Python-specific ones.
Configuration Management and the Cloud
This course is a brilliant starting point for those eager to grasp cloud computing concepts, Infrastructure as Code, and configuration management systems.
It’s particularly suited for beginners, presenting a well-structured and easily digestible overview of automation using cloud technology.
One of the highlights of this course is undoubtedly the quality of the instructor.
He’s not just a trainer, but an expert in the field, known for his ability to explain complex concepts in a way that’s easy to understand.
The course content is comprehensive and well-organized, covering a wide array of topics.
You’ll start with an introduction to automation with configuration management, then progress to deploying Puppet, followed by automation in the cloud, and finally, managing cloud instances at scale.
This progression of topics ensures a logical flow of information that builds on what you’ve learned in previous sections.
Despite the breadth of topics covered, the course is not overly technical or daunting.
It’s a balance of challenging and easy sections, sprinkled with plenty of interesting material.
Even if you’re new to these concepts, you’ll find the course breaks them down into digestible chunks, making learning a breeze.
An aspect of this course that makes it stand out is its emphasis on practical applications.
You won’t just learn about concepts, you’ll see how they are applied in real-world scenarios.
The modules on deploying Puppet and managing cloud instances at scale are particularly hands-on, allowing you to gain practical skills that you can apply in your work.
Automating Real-World Tasks with Python
“Automating Real-World Tasks with Python” is a course that has been praised for its practical, real-world approach to Python and automation.
It’s a hands-on learning experience, providing you with the opportunity to apply Python in real scenarios. This aspect of the course is particularly appreciated by students, who found the challenges rewarding and beneficial for their learning.
As one student highlighted, the course expertly introduces the world of automation and IT, making it a perfect fit for those eager to expand their professional skill set.
While the course is commended for its content, some students did express a desire for more instructional videos and a greater presence of instructors. They felt that the labs, although valuable, could sometimes be lengthy and intense.
One of the unique aspects of this course is its real-world applicability.
You’ll walk away from this course with a renewed confidence in your Python skills and a readiness to apply them in your professional life.
Python For Everybody Specialization
This collection of courses, offered by the University of Michigan, is designed to take you on a journey from Python beginner to skilled programmer, offering a deep dive into the world of Python programming.
With a focus on providing a clear and engaging learning experience, this specialization is perfect if you are looking to break into the world of programming or if you are a seasoned coder wanting to expand your knowledge base.
The specialization is composed of five courses, each with its unique focus, from getting started with Python to exploring data structures, accessing web data, using databases with Python, and finally, a capstone project that involves retrieving, processing, and visualizing data with Python.
Each course is crafted to ensure you not only understand the theoretical concepts but can also apply them in real-world scenarios.
Programming for Everybody (Getting Started with Python)
This course’s design caters to beginners, offering a slow, steady pace to ensure a deep understanding of the fundamentals.
Concepts are broken down into bite-sized pieces, making them easy to digest, especially for those new to programming. It’s not just about the content, though. The course layout is clear and easy to navigate, ensuring a seamless learning journey.
The instructor, Dr. Chuck, receives high praise for his engaging teaching style.
He has a unique knack for simplifying complex ideas, keeping students hooked throughout the course. His lectures are not just informative but entertaining, making learning a pleasure rather than a chore.
Practical assessments throughout the course ensure you can apply what you’ve learned. However, some students wished for more sample homework before the exercises to better see how lessons translate into problem-solving.
Despite its beginner-friendly nature, some students with a background in programming found the course’s pace a bit slow. If you’re already familiar with programming basics, this course may feel a bit elementary.
In a nutshell, “Programming for Everybody (Getting Started with Python)” is an excellent choice if you’re new to programming or Python.
With its structured layout, engaging content, and supportive learning atmosphere, it’s a worthy investment for beginners.
Python Data Structures
Covering a broad range of topics, including strings, files, lists, dictionaries, and tuples, the course offers a comprehensive understanding of data structures, a fundamental aspect of any programming language.
One of the standout features of this course is the instructor, Dr. Chuck.
Breaking down complex concepts into clear, digestible information has been highly praised by students. His passion for the subject is not only infectious but also makes learning a more enjoyable experience.
But the learning doesn’t stop at theory.
The course offers practical assignments that allow you to apply the knowledge you’ve gained. Although a few students found these tasks challenging, the majority felt that these exercises boosted their confidence and solidified their programming skills.
A small number of students mentioned difficulties with the assignments and lack of support from the teaching assistant. However, these instances seem to be exceptions rather than the rule.
The overall consensus points to a positive learning experience.
Using Python to Access Web Data
The third course of the specialization, taught by the well-regarded Dr. Charles Severance, whose clear and engaging teaching style is frequently praised by students.
Each topic is presented with practical examples and bonus interviews with industry experts, giving you a deeper understanding of the material.
Many students have found the course challenging yet rewarding, noting that it’s a step up in difficulty from the previous two courses.
If you’re new to programming, be prepared for a steep learning curve.
The course is geared towards those with some programming experience, but don’t let that deter you. While you may need to seek extra resources to fully grasp certain concepts, many students appreciate how the course simplifies complex topics.
Despite a few criticisms, the consensus is that “Using Python to Access Web Data” is a worthwhile course for anyone looking to delve deeper into Python and web data access.
If you’re not afraid of a challenge and are eager to expand your Python skills, this course could be a great fit for you.
Using Databases with Python
In this course you’ll dive into object-oriented programming, explore relational databases, and get hands-on with SQL.
One of the highlights of the course is the exposure to geocoding. Although the instructor doesn’t guide you line by line, it’s an excellent opportunity for self-learning and exploration.
Another noteworthy aspect of this course is the inclusion of interviews and bonus content from industry experts. These conversations provide real-world context and relevance, enriching your learning experience.
However, it’s worth mentioning that some students found the transition from Python to databases challenging. The course is quite fast-paced, quickly moving from basic Python to more complex concepts. If you’re new to Python, this might be a steep learning curve.
A few students also voiced concerns about the grading system. Some assignments require instructor grading, which can cause delays. This is something to bear in mind, especially if you’re on a monthly subscription.
Despite these hurdles, the course has been a valuable experience for many. They found the opportunity to parse different types of data and integrate database operations into Python programs particularly beneficial. Some even suggested that this course is a stepping stone for anyone considering a career in data science and machine learning.
Capstone: Retrieving, Processing, and Visualizing Data with Python
The course content is robust and diverse, encompassing topics from Unicode characters to Page Rank computation and visualization, to image processing.
The syllabus also features interviews with industry professionals, bringing real-world application to the theoretical concepts you’ll explore.
This breadth and depth of content can provide you with a comprehensive understanding of how Python can be used across various fields.
However, some students have voiced concerns about the teaching approach.
They felt the course lacked a hands-on coding experience, with assignments often revolving around running pre-existing code and documenting the results, rather than crafting their own code. If you’re a hands-on learner who thrives on problem-solving, this aspect may be a point of consideration for you.
Another aspect to be aware of is the grading system. Some students reported delays in grading, while others experienced issues with the peer grading system. So, if you’re working within a tight timeframe, ensure you leave enough room for the grading process.
Some students appreciated the opportunity to manage larger projects and interact with multiple programs. They also gained a deeper understanding of Python’s application in working with internet data sources.
Python 3 Programming Specialization
Whether you’re a newbie or a seasoned programmer looking to add Python to your skill set, the “Python 3 Programming” specialization on Coursera, also brought to you by the University of Michigan, has you covered.
It’s not just about theory - you’ll get your hands dirty with data processing, object-oriented programming, and even real-world projects.
Plus, with unique teaching tricks like ‘spaced repetition’, you’re more likely to remember what you learned. Top it off with some seriously engaging instructors, and you’ve got a recipe for Python success.
The “Python Basics” course is designed to help you build a solid foundation in Python, starting from the ground up.
You’ll begin with elementary concepts like values, data types, and operators before diving into more complex topics such as strings, lists, tuples, and methods on lists and strings. This progressive structure ensures you grasp each concept fully before moving on to the next.
The interactive textbook allows you to experiment with codes online without installing any software, making the learning process more flexible and engaging. Moreover, the course employs ‘spaced repetition,’ a scientifically proven technique for effective learning.
The instructors of this course are praised for their clear and engaging delivery. They sprinkle humor into their lectures, making learning fun and enjoyable. After each lecture, you’ll find practice exercises that reinforce the concepts you’ve just learned.
The course also covers debugging, a vital skill for any programmer. Those with programming experience might find it a bit basic.
It’s designed to teach Python as a first programming language, so if you’re an experienced programmer looking to switch to Python, the pace might feel slow.
One important thing to note is that you need to pay to participate in the assignments. While this might be a downside for those looking to audit the course for free, the depth and quality of the course make it a worthwhile investment.
Python Functions, Files, and Dictionaries
This course is well-structured, covering not only the basics of Python functions and file handling, but also delving into more intricate topics like dictionaries, lambda expressions, and advanced sorting.
One of the strengths of this course is its pacing.
It’s designed to ensure you grasp each concept before moving onto the next, so you won’t feel as if you’re drowning in information.
The instructors provide clear explanations, making even complex concepts easier to understand. This makes the course ideal for beginners, but it also has plenty to offer if you already have some Python or programming experience under your belt.
You won’t just be learning theory - you’ll be applying what you learn to create your own project. This hands-on experience, coupled with step-by-step guidance, will help you gain confidence and hone your problem-solving skills. Plus, the course utilizes Runestone, an interactive tool that enriches the learning process.
Another unique feature of this course is the use of spaced repetition learning. This method, backed by scientific research, aids in memory retention, helping you recall what you’ve learned more effectively.
While the course does present some challenges, such as a somewhat confusing final project and repetitive coding exercises, these hurdles actually serve to sharpen your skills. They push you to think independently and deepen your understanding - vital skills in the world of programming.
Data Collection and Processing with Python
This course, part of a five-course Python 3 Specialization, is highly recommended for its robust and systematic approach in teaching Python-based data processing.
The journey starts with understanding nested data, including lists, dictionaries, and the JSON format.
As you navigate through the course, you’ll dive into nested iteration, explore map and filter functions, unravel the mysteries of list comprehensions, and get to grips with the zip function. These key Python concepts are essential for data processing.
You’ll get a backstage pass to REST APIs, HTTP, URL query parameters, and learn to generate URLs with requests.get. The course then lets you put theory into practice with real-world APIs from iTunes and flickr.
Students have hailed the course for its high-quality materials and exceptional instructors.
The content is introduced gradually, allowing you to build practical skills at a comfortable pace. Plus, the instructors’ expertise and the sprinkle of humor with bonus jokes each week add a refreshing touch to the learning experience.
However, it’s worth noting that some students found the third week, which introduces APIs, a bit of a tough climb. They wished for a slower pace and clearer explanations for beginners.
The final course project also sparked mixed responses. Some students encountered technical hitches with the Runestone project, finding it more challenging due to platform issues rather than the project’s complexity.
Despite these bumps, many students gave the course a thumbs-up. They valued it as a significant learning experience that boosted their Python programming skills, particularly in data processing and handling APIs.
Python Classes and Inheritance
Starting off with user-defined classes, the course eases you into the world of object-oriented programming.
It then steadily progresses to more complex concepts like adding parameters to constructors and other methods to a class. This gradual approach ensures that you solidly grasp the basics before tackling more advanced topics.
The course does a commendable job at demystifying classes and instances. It has dedicated sections for class variables and instance variables, helping you distinguish between the two and use them effectively.
Inheritance, a cornerstone of object-oriented programming, is covered thoroughly. You’ll learn about inheriting variables and methods, overriding methods, and invoking the parent class’s method.
Another notable feature of this course is its focus on test cases. You’ll get to understand test functions, return value tests, side effect tests, and how to develop programs with test cases. Gaining knowledge about testing in a Python context is a valuable skill that can set you apart in the programming world.
Many students found the final project exciting.
It’s a game project that allows you to apply what you’ve learned throughout the course. While challenging, it’s a fun and engaging way to solidify your knowledge.
Some students felt the course could have been more detailed. A few also encountered issues with the grading system and found the final project a bit tricky to understand. But remember, learning experiences vary, and what might be challenging for one might be simple for another.
Python Project: pillow, tesseract, and opencv
Get ready for a hands-on experience that might feel challenging but will indeed be rewarding.
This course, the final in the series, is designed to give you a taste of real-world programming. It pushes you to take on a practical project using third-party libraries, offering a unique learning experience that some students have described as a serious but worthwhile challenge.
A key feature of this course is its focus on integrating third-party libraries, an essential skill in today’s programming landscape. Plus, you’ll get to work with Jupyter Notebooks, a real Python environment, a step up from the usual online sandbox environments.
Bear in mind, this course has a steeper learning curve compared to its predecessors in the series. If you’re new to programming, you might find this a bit challenging. However, don’t let this deter you. As one student rightly pointed out, overcoming such challenges can be a rewarding learning experience in itself.
While the course isn’t without its flaws, such as the use of multiple third-party libraries and a somewhat complicated final project submission process, it’s the benefits that truly stand out.
You’ll be tasked with a realistic programming project, providing a glimpse into the world of professional programming. It’s not just about learning Python; it’s about applying what you’ve learned in a practical context.
This course does demand a degree of self-learning and initiative.
You’ll need to delve into documentation and sometimes source code to complete the assignments. This might seem daunting, but it’s a crucial part of being a successful programmer. As one student put it, this course acts as a launch pad, helping you use your Python skills to build actual code.
Python for Data Science, AI & Development By IBM
Although not part of a specialization like the courses recommended above, this course is a great option if you’re looking to learn Python with a focus on data science, machine learning, and deep learning.
Starting off, the course lays a solid foundation with types, expressions, and variables.
As you progress, you’ll delve into more intricate areas such as string operations, lists and tuples, dictionaries, and sets. You’ll also get to grips with conditions and branching, loops, functions, and exception handling.
You’ll navigate the world of one-dimensional and two-dimensional numpy, and get to grips with simple APIs. Plus, you’ll get a taste of HTML for webscraping and work with various file formats like csv, xml, json, and xlsx.
One downside is the final assignment, some students found the instructions somewhat unclear and felt the focus was more on IBM cloud and Watson service than Python skills.