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Are you on the hunt for the best Python courses and classes online? Look no further! Our team has performed an extensive analysis of the Python courses available on Udemy, reviewing a staggering 3,152 courses with over 80,295,648 enrolled students who have left more than 5,315,088 ratings and reviews. Utilizing this valuable data, we have carefully evaluated various factors such as course ratings, reviews, enrollments, learner feedback, content quality, curriculum comprehensiveness, release date, and affordability, and combined it with our own experiences and expertise to present you with the definitive list of the top 10 online Python courses on Udemy.
Dedicated to catering to every level of programming expertise and application domains, our carefully curated selection of Python courses has something to suit everyone's needs. Regardless of whether you are a complete beginner or an experienced professional, our diverse list of courses will help you delve deeper and master various aspects of Python programming. So, gear up, get excited, and embark on your journey towards Python proficiency through these meticulously handpicked online classes today!
This comprehensive course is perfect for those who are aiming to become a programmer, especially those who want to learn or brush up on their Python skills. If you haven't coded before, there's no need to worry; this easy-to-follow course will have you programming like a pro in no time. Python is an accessible and versatile language, suited for both small and large projects while offering a quicker development process compared to other languages.
From the get-go, this course covers everything you need to get started with Python, along with many added benefits. Beginning with the basics, you will learn about strings, variables, and different data types. You will progress to loops and conditions before diving into file manipulation and functions. As a result, you'll have a solid foundation in Python that you can build on for future projects. Don't miss this opportunity to explore the world of Python, and unlock your programming potential with this practical and engaging course.
This course is ideal for individuals aiming to become a programmer through learning Python's core concepts thoroughly, from the basics to more advanced topics like file manipulation and functions.
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.
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.
This comprehensive course is designed to help beginners master the fundamentals of Python while working on various use cases in a step-by-step manner. Tailored to cater to a wide range of learners, including college students, data science experts, web developers, and experienced Python developers, this course aims to fill knowledge gaps and provide a strong foundation in Python. Participants progress from installing Python virtual machines and IDE to mastering the features of the Python language and ultimately, implementing object-oriented programming principles.
Throughout the curriculum, learners will gain practical experience using Python through hands-on exercises involving conditional statements, looping constructs, operators, input and output functions, command line arguments, and more. Additionally, the course covers advanced topics such as multi-threading, exception handling, pattern matching, working with databases, and unit testing in virtual environments. By the end of the course, learners will be equipped with a thorough understanding of the Python ecosystem and will be prepared to tackle real-world projects with confidence.
This course is best for those who are looking to gain confidence in Python programming by mastering the fundamentals and acquiring practical experience through hands-on exercises. It covers a variety of topics, from installing Python virtual machines and IDE to advanced topics like multi-threading and exception handling, ensuring a strong foundation in Python for learners.
This comprehensive course offers a depth introduction to fundamental python programming concepts, guiding learners from beginners to advanced levels. Students will gain hands-on experience as they explore Python basics, programming fundamentals, and more, ultimately becoming proficient Python developers. Topics covered in this course include array implementation, file methods, keywords and identifiers, Python fundamentals, data structures, object-oriented and functional programming, decorators, generators, testing, debugging, error handling, and modules.
Moreover, the course delves into Flask, a popular Python web framework, teaching learners how to build web applications and APIs using this technology. Key Flask aspects covered in this course include the Jinja template language, SQLite database, Flask-SQLAlchemy, URL building, HTTP methods, templates, static files, request object, cookies, and session object. By the end of the course, students will have a solid understanding of Python and Flask framework, allowing them to develop sophisticated web applications and APIs effectively.
This course is ideal for individuals seeking to gain expertise in both Python programming and the Flask web framework, enabling them to develop intricate web applications and APIs.
This comprehensive course focuses on teaching one of the most in-demand programming languages in the field of data science: Python. By understanding Python, participants will gain a valuable skill needed for a career in data science, as it has become the programming language of choice for analytics professionals. With a focus on fundamentals and accessibility, this course aims to provide participants with knowledge that can bring their careers to new heights, as opportunities in the field of data science continue to see significant growth.
Python's popularity has soared over the years, with experts predicting it to surpass C and Java in the near future as the most popular programming language. As the demand for data scientists increases, so does the need for Python knowledge. According to Indeed, data scientists currently have an average salary of $127,918, with IBM predicting a 28% increase in demand in the field by 2021. This course makes learning Python programming and other fundamentals more attainable than ever, allowing participants to potentially unlock new career opportunities as the future of data science continues to shine brightly.
This course is best for individuals who aim to gain valuable knowledge and skills in Python programming, specifically focusing on its application in data science and analytics. It covers fundamentals and accessibility, making it suitable for both beginners and professionals looking to enhance their careers in the rapidly growing field of data science.
This course dives into the realm of applied statistics and data science, providing learners with the knowledge and skills necessary to excel in these fields. One primary focus is learning through real-world examples, which allows students to connect theoretical content with practical applications. This is achieved by applying statistics concepts through Python, a widely-used programming language in the industry. By incorporating real-world problems into the coursework, learners will be better equipped to tackle challenges they may face in their careers.
Another essential aspect of the course is presentation-focused outcomes, meaning learners will not only learn how to gather and analyze data, but also how to effectively interpret and visualize the results. The course emphasizes the importance of using modern tools, techniques, and code libraries to streamline workflows and boost productivity. As a result, students will be able to employ state-of-the-art practices to solve problems more efficiently and professionally. This comprehensive course will develop valuable skills in statistical analysis and data visualization, setting learners on the path to success in data science and related fields.
This course excels at teaching you the ins and outs of applied statistics and data science through real-world examples, incorporating Python programming. With a focus on presentation-focused outcomes, you'll not only learn to gather and analyze data but also effectively interpret and visualize the results, giving you a solid foundation in the field.
This comprehensive course is designed to teach the fundamentals of web programming with Python, making it an essential resource for aspiring web developers. As an introduction to the subject, the course covers a broad range of topics, including object-oriented programming, working with different server types, databases, and web frameworks. With a simple prerequisite of basic Python knowledge, students will be guided through various stages of development, learning how to interact with FTP, email services, web form data, and web database applications using native Python code. Moreover, the course delves into XML processing and concludes with an extensive chapter on Django, a modern web framework for creating and managing complex, database-driven websites.
The course is particularly useful for individuals with a fundamental understanding of Python and object-oriented programming, who are looking to apply their skills to web-specific projects. From learning how to install and configure web-based databases using Python code to mastering the essentials of XML and Django, the course offers practical applications for expanding one's knowledge of the Python programming language. So, whether you're seeking an advanced understanding of SQLite, XML, and online database standards or looking to enhance your Python skillset for web-based projects, this course addresses various essential aspects of Python web programming that will enrich your learning journey.
This course excels in providing a comprehensive understanding of web programming using Python, including working with various server types, databases, and web frameworks. It's perfect for individuals with a basic understanding of Python who want to expand their skills and apply them to web-specific projects.
This comprehensive course is designed to not only teach you Python programming but also the essential skill of thinking like a programmer. With over 100 lectures, 20 programming exercises, and numerous quizzes, the course provides a solid foundation in Python, while developing your ability to approach problem-solving from the perspective of an independent programmer. By the end of this course, you'll be able to write effective code that tackles real-world challenges and think like a programmer in everyday situations.
The course is structured such that even those with no prior programming experience will be able to grasp the concepts and become effective programmers. In addition to learning the core concepts of Python programming, you'll also be introduced to programming basics, flow control, repetition, data structures, error handling, and object-oriented programming. Furthermore, the course also delves into bonus topics like programmer behavior, ensuring that you'll not only become proficient in Python but also learn the right mindset and attitude to excel in your programming career.
This course excels at teaching not only Python programming but also the essential skill of thinking like a programmer, enabling learners to write effective code that tackles real-world challenges.
Python Programing Language For Personal Development focuses on providing learners with a comprehensive and practical understanding of Python, a powerful and versatile programming language. The course covers a wide range of topics, from the basics of Python syntax and built-in data structures, to more advanced concepts like generators, comprehensions, and application dependency handling. Participants in this course will learn how to effectively utilize Python's features to build robust and efficient software applications, suitable for personal or professional advancement.
In addition to in-depth explanations of various Python language concepts, this course offers numerous practical opportunities for learners to test their skills and knowledge through Python Programming Language MCQ (multiple choice) Questions. By working through these practice exercises, students will gain valuable hands-on experience and improve their proficiency in Python programming. Furthermore, the course emphasizes the diverse applications of Python in various fields, such as machine learning, web development, desktop applications, data analysis, and more. This ensures that learners gain a well-rounded understanding of the language and its potential uses, making them well-prepared to take their Python skills into any area of personal or professional development.
This course is excellent for those looking to improve their understanding of Python specifically for personal development, offering a comprehensive and practical learning experience that covers various applications of the language.
Dive into a plethora of advanced Python programming topics with this comprehensive course designed for learners of all levels. Whether you're a beginner, intermediate, or advanced Python programmer, this course is tailored to enhance your understanding of advanced concepts and keep you updated on the latest trends in Python. If you lack basic Python knowledge, don't worry; the course has you covered with a crash course provided at the very end, so you can start by building a solid foundation before delving into more advanced topics.
This course covers a wide range of essential topics such as setting up Python and Integrated Development Environment (IDE), Numpy for numerical computation, Pandas for data handling, graphs, linked lists, regular expressions, and creating GUI-based applications. As you progress, you'll also explore machine learning techniques including linear, logistic, and polynomial regression, as well as support vector machine, naive Bayes, and k-nearest neighbor models. With these advanced Python programming topics under your belt, you'll be well-equipped to tackle a variety of challenges and expand your skillset in the world of Python.
This course is the best for individuals looking to dive into a variety of advanced Python programming topics and enhance their understanding of the latest trends, including machine learning techniques and creating GUI-based applications.
Choosing the best Python course can be a daunting task, especially with the myriad of available options suited for various intents and purposes. The key to selecting the right course lies in understanding your specific objectives in learning Python, whether it be for personal development, web programming, data science, or advancing your career. Here, we provide a concise learner's guide to help you make an informed decision when selecting a Python course tailored to your needs.
Consider your current skill level and prior experience in programming to ensure that the course aligns with your abilities. As a beginner, opt for courses that cover basic concepts, whereas advanced users can focus on in-depth topics and specializations.
Determine the intended application for learning Python, be it networking, data analysis, or web programming. This will enable you to choose a course that emphasizes the relevant skills and knowledge.
Opt for a course that focuses on problem-solving and critical thinking, as these qualities are essential in programming. A course that encourages thinking like a programmer will be beneficial in improving your abilities.
If you're looking to use Python in web development, ensure that the chosen course covers essential frameworks such as Flask, as they will streamline the development process and enhance functionality.
For those interested in data science or statistical analysis, search for a course that delves into these areas, providing comprehensive programming techniques and tools.
If your main goal is personal development, seek a course that targets overall improvement, providing useful tips and methods to advance your individual progress.
Lastly, look out for expert reviews and feedback from fellow learners to instill confidence in the quality and effectiveness of the course.
In conclusion, being mindful of your objectives and interests, while focusing on course content, user feedback, and expert reviews, will significantly assist in choosing the most suitable Python course for you. By doing so, you'll maximize the benefits of your learning experience, allowing you to excel in your Python programming journey.
In conclusion, it is evident that Python programming offers a myriad of opportunities for individuals seeking to improve their knowledge and skills in various aspects of the language. Whether you are a beginner taking your first steps into the world of programming, an experienced professional aiming for mastery, or someone looking to apply Python in specific domains such as web programming, data science, or network engineering, there is a course tailored to suit your needs and aspirations.
Remember, investing in your personal and professional development by learning Python will not only help you progress within your chosen field, but also open doors to countless new opportunities. Stay motivated, keep pushing your boundaries, and never lose your hunger for learning. Embarking on any one of these Python courses will surely equip you with the knowledge and tools necessary to make a significant impact, so go ahead and take the plunge into the exciting world of Python programming!
How much does a python course cost?
The cost of a Python course on Udemy can range from being free to $99.99, depending on the course content, instructor, and the offered features.
How long do python courses take?
The duration of Python courses on Udemy can vary greatly depending on the content and depth covered in the course. They can range from as short as 1 hour 40 minutes to as long as 24 hours 14 minutes.
What are the key factors to consider while choosing a Python course?
When choosing a Python course, consider factors such as your current skill level, course goals, course content, instructor's expertise, course duration, user reviews, and your budget.