Python udemy

Python is a popular high-level programming language that can be pursued if you look forward to building your career as a Web Programmer and Web Designer. The Best Python Courses on Udemy can be pursued by both beginners and experienced programmers because of the clear syntax and support for a wide range of programming concepts. Python has been applied across varied domains, such as  Automation, Data Science, Web Development, and Artificial Intelligence. The dominant use of  Python makes it a popular choice, especially with its powerful community and significant standard library.

Students can access Python courses online, at universities and coding boot camps. Some of the teaching methods that are used by instructors include lectures, assignments, projects, quizzes, and coding exercises. 

Python Courses

In this article, I am reviewing the 10 best Python courses on Udemy. The courses that I have short-listed have been selected on their individuality and content accuracy which would eventually help in making informed decisions. 

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Why pursue a Python Course on Udemy?

Udemy stands out as a leading online learning platform, providing affordable and accessible education. With a vast library of courses, Udemy offers a range of Python courses catering to different skill levels. This platform is a great option for anyone keen to learn Python programming because of its easy-to-use interface and flexible learning options. 

1. 100 Days of Code: The Complete Python Pro Bootcamp for 2024

Being a beginner with no prior programming experience, the instructor’s approach made learning Python enjoyable and straightforward. The syllabus covers subjects starting from basic to advanced topics like web development and data science. Also, the engaging video tutorials, quizzes, and constant updates make this course a valuable investment for me. I now feel adept in Python and have a diverse portfolio of projects. Highly recommended for anyone looking to learn or enhance their coding skills.

What I Like about the Course?

  • The well-structured and comprehensive learning path suited me as I have no prior programming knowledge.
  • It was an easy and enjoyable experience for me with how Angela Yu taught the entire course. Her approach helped me become a confident programmer.
  • Through the course, I was able to practise code challenges, exercises, and fully-fledged projects. This practical approach eventually helped me solidify and develop my coding skills.

What Could Have Been Better?

  • After the initial 30 days, I came across various outdated materials. This made it quite challenging for me to follow and implement the concepts effectively.
  • The course lacks updates for the year 2024, which poses compatibility issues, especially with Python 3.12. It left me feeling a bit stranded, having to navigate through challenges on my own.
  • As the course progressed, I noticed a significant decrease in video tutorials, transitioning more towards written guides. This shift felt less effective in conveying complex concepts compared to the earlier video instructions.

2. Automate the Boring Stuff with Python Programming

The ‘Automate the Boring Stuff with Python Programming’ is a highly recommended course for anyone who wants to study Python. The course structure consists of practical applications such as web scraping and task automation. It was exactly what I needed to boost my productivity. Through this course, I got hands-on experience with coding exercises and making projects. The learning process was easy as well as enjoyable. There are various topics, such as analyzing PDFs, automating the keyboard and mouse, and sending emails, were fun to explore. 

What I Like about the Course?

  • The course focuses not only on desktop automation but also on foundational Python skills beneficial for various purposes like machine learning or Django development.
  • The language spoken was clear, making it easy for me to understand, and the course serves as a good base for Python.
  • The hands-on experience and projects provide a great learning source for a beginner like me, and the accompanying book enhances the overall learning experience.

What Could Have Been Better?

  • Many examples in the course are not relevant or applicable to real-life 9-5 work settings, making it less practical for everyday tasks.
  • Some modules, like the web scraping section, are no longer valid or functional.
  • The explanations are limited and a lack of exercises to reinforce learning makes it less comprehensive for those seeking in-depth knowledge.

3. Python for Data Science and Machine Learning Bootcamp

The ‘Python for Data Science and Machine Learning Bootcamp’ course is a well-structured and cost-effective comprehensive course. While studying the course it came across as an engaging resource for those entering the Data Science field. The course syllabus covers a wide range of topics, from the basics of Python to advanced machine-learning algorithms. Through this course, you can get a hands-on experience with detailed code notebooks. 

What I Like about the Course?

  • The course is well-structured and covers various concepts such as Basic Python, Advanced Data Science and Machine Learning.
  • Cost-effective compared to other boot camps, offering excellent value for investment.
  • The course is great for beginners because it explains things well. The exercises start simple and get harder as you go along.

What Could Have Been Better?

  • I got a bit frustrated because some of the answers to the exercises had mistakes that weren’t fixed. It made the practical exercises confusing and less helpful.
  • Though the lectures were good, however, it didn’t delve deeply into the covered topics. I felt the lack of in-depth exploration hindered my understanding, especially when seeking comprehensive insights.
  • Navigating through outdated content and figuring out current versions became a time-consuming challenge. Clear distinctions between old and new modules would have greatly helped.

4. Python Mega Course: Learn Python in 60 Days, Build 20 Apps

The Python Mega Course: Learn Python in 60 Days, Build 20 Apps course is incredibly beginner-friendly, starting from the basics and gradually progressing to more advanced topics. The hands-on approach with 20 real-world applications was fantastic, and building a movie recommendation system in data science and machine learning was a highlight for me, which will look good for my resume. Apart from theoretical foundations the course curriculum also covers detailed insights on practical application thereby making the learning experience enjoyable and effective. I appreciated the flexibility to study at my own pace and the lifetime access to course materials. The instructor’s teaching style is clear, and the multimodal learning approach, including video lectures, exercises, quizzes, and projects, catered to different learning styles. The emphasis on building a portfolio on GitHub is a great way to showcase newly acquired skills to potential employers. 

What I Like about the Course?

  • The course provides a grass-root understanding of various Python concepts through theory and practical concepts. 
  • The multi-dimensional learning approach was a game-changer. The combination of video lectures, hands-on exercises, code reviews, quizzes, and independent projects catered to my varied learning preferences. It ensured a well-rounded understanding of the material.
  • This course comprises tools like Git and GitHub that helped me get ready for real-life situations, especially by teaching me useful. It made me feel more sure about applying for entry-level developer jobs and working well with others in a job.

What Could Have Been Better?

  • I found that the course lacks a systematic approach to explaining concepts. The instructor tends to introduce new ideas briefly without delving into a comprehensive understanding, leaving me searching for additional resources to fill the gaps.
  • The course has limited supplementary resources because of which throughout the course, to gain a deeper understanding of concepts I often found myself relying on external materials, such as Google and YouTube.
  • I experienced issues with inconsistent video and audio quality in certain lectures. This inconsistency disrupted the flow of learning and made it challenging to follow the content seamlessly.

5. Python and Django Full Stack Web Developer Bootcamp

The ‘Python and Django Full Stack Web Developer Bootcamp’ course covers everything you need to know to build a website using Python, Django, and various web technologies. The instructor, Jose, does a great job explaining complex topics with easy-to-follow HD video lectures and practical exercises. Apart from back-end development with Python and Django the course curriculum also consists of essential front-end technologies like HTML, CSS, and JavaScript. I appreciated the hands-on approach, including walkthrough code projects and downloadable code notes, which made learning engaging and practical. The inclusion of Bootstrap, jQuery, and REST APIs added valuable skills to my web development toolkit. The supportive online community is a great bonus, providing assistance and collaboration. In conclusion, this is a comprehensive course which can be pursued by anyone aspiring to become a web developer, and I highly recommend it!

What I Like about the Course?

  • The course structure will discuss in detail various topics such as web development, encompassing HTML5, CSS3, JavaScript, jQuery, Bootstrap 3 and 4, Python, Django basics, Django templates, forms, and more.
  • I appreciate Jose’s simplified and easy-to-understand teaching method. The instructor breaks down complex concepts, making them accessible for beginners and facilitating a smooth learning curve.
  • The course is praised for being effective even for learners with non-computer science backgrounds, with one student mentioning successful understanding despite coming from a mechanical background.

What Could Have Been Better?

  • The course does not cover various crucial topics like Django Rest API and payment processing. 
  • Despite being labelled as a beginner course, I felt it was not suitable for absolute beginners due to the outdated topics and the need for debugging skills.

6. Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

The Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024] course covers a wide range of topics, from data preprocessing to deep learning, reinforcement learning, and model selection. The given Python and R code templates are invaluable resources for my projects, and the hands-on exercises incorporating real-world case studies proved to be immensely beneficial in terms of comprehension. This is a fascinating, well-structured course through which you will gain practical skills in the field of machine learning. Anyone who wants to explore the possibilities of this fascinating topic should read it.

What I Like about the Course?

  • The course offers flexibility by providing tutorials both in Python and R, allowing learners to choose the programming language that suits their preferences or career requirements
  • The course is described as challenging, keeping learners’ minds engaged and gradually helping them enjoy the practical aspects of machine learning.

What Could Have Been Better?

  • The course content is from 2017-2018, not up-to-date with 2024 standards.
  • The course lacks mathematical explanations, making it challenging for learners who seek a deeper understanding of machine learning concepts.
  • The course structure does not adequately explain the “why” behind machine learning, focusing more on copying/pasting code rather than delving into the reasons behind each step.

7. Learn Python Programming – Beginner to Master

Learn Python Programming – Beginner to Master course is perfect for beginners. The course covers everything starting from the fundamentals to advanced topics with over 100 practical challenges. The use of PyCharm and IDLE for demonstrations was helpful, along with the inclusion of resources for each lecture is a great reference. I am overwhelmed with the variety of topics covered, including multithreading, database programming, and GUI development with Tkinter. This is a well-structured course that makes it easy to follow, and the Q&A section provides additional support. 

What I Like about the Course?

  • The process used to explain Python ideas by comparing them to real-life situations, like the bucket analogy makes it easier for learners to understand.
  • The course fostered me with practical experiences by providing tasks and challenges that strengthened my knowledge of advanced coding abilities.
  • The success of the course is attributed in large part to the instructor’s capacity to inspire students, particularly in trying circumstances. 

What Could Have Been Better?

  • I noticed that the language used in the course could have been more concise in certain sections. There were moments when the explanation seemed a bit stretched.
  • I prefer a more mathematical approach to learning programming. This course, while comprehensive, didn’t align with that preference. It might be a factor to consider based on individual learning styles.
  • The course doesn’t include many coding problems. While this might not be a drawback for everyone, some learners might prefer more extensive coding examples.

8. Python PCEP: Become a Certified Entry-Level Python Programmer

The Python PCEP: Become a Certified Entry-Level Python Programmer course is for someone with no prior coding experience, it was the perfect introduction to Python. What fascinated me about the course was Adrian’s teaching style. Which is clear, and he takes you through the fundamentals with practical examples. The course covers 100+ challenges which was a great way to practise what I learned. The course curriculum covers a broad range of topics, thereby making it suitable for beginners like me who aspire to work in software development, data science, or machine learning. The mock exam at the end gave me a good sense of what to expect. Overall, it’s a concise, well-structured, and beginner-friendly course that provided a solid foundation for my Python journey. Highly recommended!

What I Like about the Course?

  • Adrian’s teaching style is fantastic; his lectures are clear, concise, and engaging. Even complex topics like bitwise operations and recursion were explained in a manner that was easy to comprehend.
  • The course consisted of quizzes, exercises and a mock PCEP exam which was instrumental in reinforcing my training and eventually prepared me thoroughly for the certification. 
  • Adrian’s depth of knowledge in Python is evident throughout the course. His experience as a professional Software Developer adds significant value to the learning journey.

What Could Have Been Better?

  • Numerous minor concepts crucial for quizzes were missed or insufficiently covered in the lectures, leading to a knowledge gap and challenging quiz experiences.
  • Another drawback that I found in the course was that it falls short of being an all-inclusive resource for PCEP exam preparation. However, one can explore additional practice materials, such as dumps, which are recommended to supplement the course for better readiness.
  • I am dissatisfied with using Jupyter Notebook in a browser, suggesting a preference for a full IDE like PyCharm for a better development environment.

9. Python 3: Fundamentals

The Python 3: Fundamentals course covers Python basics thoroughly, and the intermediate section introduces higher-order functions, decorators, and essential third-party libraries like NumPy and Pandas. There are numerous challenging exercises at the end of each course that help us in getting a deeper understanding of the course. This course is a to-go course for freshers who are interested in studying Python.

What I Like about the Course?

  • Dr. Fred Baptiste, the instructor has made the course and its learning experience enjoyable and insightful.
  • The Jupyter notebooks provided are exceptional, facilitating a hands-on and practical learning experience.

What Could Have Been Better?

  • I found the lectures to be too long (10 to 20 minutes), making them less engaging for sustained viewing.
  • Another drawback that I found was that the course jumps straight to coding without proper guidance on its accessibility thereby leaving the learners confused and distraught. 

10. Total Python: You Can Master Python Programming in 16 Days

Total Python: You Can Master Python Programming in 16 Days course strikes a perfect balance between theory and hands-on practice, guiding from basic to advanced Python development seamlessly. The real-world applications, downloadable PDFs, coding exercises, and quizzes enhance the learning experience. The three-part progression, from basic to advanced and then expert levels, ensures a solid foundation, and the inclusion of quizzes and coding exercises reinforces learning effectively. The course covers diverse applications like games, artificial intelligence, web development, and more, making it versatile. Phil and Fede’s clear explanations and encouraging teaching style boosted my confidence as a beginner. 

What I Like about the Course?

  • I felt that the course provided a comprehensive and detailed explanation of Python, ensuring an in-depth understanding of the language.
  • The course structure is exceptional, it has well-planned modules that resonate with each other thereby creating a seamless progression from basic to advanced topics.
  • The course covers a wide range of real-world applications, from games and graphical interfaces to web development, artificial intelligence, and more, providing a holistic learning experience.

What Could Have Been Better?

  • I observed that as the course progressed, there seemed to be moments where previously explained ideas were not recapitulated, causing some inconsistencies in using the principles discussed earlier
  • There was an absence of solutions for exercises not finished correctly, causing frustration and making it challenging for learners to validate their understanding.
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By Nikita Joshi

A creative advocate of multi-disciplinary learning ideology, Nikita believes that anything can be learned given proper interest and efforts. She completed her formal education in BSc Microbiology from the University of Delhi. Now proficiently dealing with content ideation and strategy, she's been a part of Coursevise since August 2023 working as a content writer Having worked with several other things during these two years, her primary fields of focus have been SEO, Google Analytics, Website Traffic, Copywriting, and PR Writing. Apart from all that work, Nikita likes to doodle and pen down her rhymes when she feels free.

5 /5
Based on 7 ratings

Reviewed by 7 users

    • 1 month ago

    What are some notable trends or advancements in the Python courses on Udemy?

      • 1 month ago

      Hi Josh, the Python courses on Udemy have an emphasis on project-based learning and practical applications. The practical application is noted in fields like data science and machine learning, and integration of complementary technologies and frameworks (like Django, Flask, TensorFlow, and PyTorch).

    • 1 month ago

    Can you elaborate on the various domains where Python is extensively used, beyond those mentioned in the article?

      • 1 month ago

      Python is used extensively in sectors like scientific computing, game development, network programming, desktop GUIs, and cybersecurity. Additionally, it is also used in finance (for quantitative and algorithmic trading), in healthcare (for medical imaging and data analysis), and in education (for teaching programming concepts).

    • 1 month ago

    Are there any notable features or tools specific to Udemy that make it a preferred platform for learning Python?

      • 1 month ago

      Udemy has a vast library of courses, lifetime access to course materials, affordability, and a user-friendly interface. Additionally, its rating and review system helps students assess the quality of courses in Python, and discounts make courses affordable.

    • 1 month ago

    How do the Python courses on Udemy compare in terms of pricing, duration, and level of difficulty?

      • 1 month ago

      Python courses on Udemy vary in pricing, duration, and difficulty level. Prices may range from $10 to $200, depending on course content, instructor reputation, and discounts. Also, course durations can vary from a few hours to 100+ hours, and difficulty levels may range from beginner-friendly to advanced.

    • 1 month ago

    Do the Python courses provide industry-specific insights or case studies, such as applications in finance, healthcare, or e-commerce?

      • 1 month ago

      Some Python courses on Udemy may offer industry-specific insights or case studies. This includes using Python for financial analysis and algorithmic trading, healthcare data analytics, e-commerce website development, social media data mining, or IoT (Internet of Things) applications.

    • 1 month ago

    What makes Python a preferred language for beginners and experienced programmers?

      • 1 month ago

      Python has a clear syntax, and support for programming concepts, and can be used across multiple domains. The domains include automation, data science, web development, and artificial intelligence making it popular among programmers. Additionally, it has an active community and a significant standard library that contributes to its application.

    • 1 month ago

    How do the teaching methods in Python courses on Udemy help in effective learning?

      • 1 month ago

      Python courses on Udemy have a combination of lectures, assignments, projects, quizzes, and coding exercises. In the courses, lectures provide theoretical understanding, and assignments and projects provide practical application. Additionally, quizzes help to brush up their knowledge, and coding exercises enhance coding skills, which help learners develop theoretical knowledge and practical skills.

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