The TIOBE Index notes that Python continues to be the most widely used software language in the world. This dynamic and user- polite language, named after favorite English comedy troupe Monty Python, has become an essential tool for developers, data scientists and tech enthusiasts everywhere.
Python is a good choice for beginners because of its ease of use and clarity, and its powerful libraries and frameworks enable developed website creation, machine learning, and data analysis needs. Major ten Python courses are available in 2024 for builders with varying backgrounds and objectives, according to TechRepublic.
When assessing online courses, we examined the stability and acceptance of the company, the depth and variety of topics offered, the utility of the data, the value and the period. Be sure to select the option that best suits your learning objectives and goals because the training and certification programs vary widely.
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Best Php programs: Comparison stand
University of Helsinki: Best for newbies with limited funds, Python software MOOC 2024
The University of Helsinki’s Python programming MOOC 2024 is a highly regarded Php program that is suitable for total beginners. MOOC stands for Massive Online Open Course, so there are no restrictions on the number of kids who can use the tools throughout the year.
The course’s information is broken down into 14 notes, each with about 30 exercises to perfect in-browser. Although the University of Helsinki holds tests on a regular basis, this program is self-paced. It is completely, but to do the tasks, you need to sign up for a MOOC accounts.
Price
Free.
Duration
12-hour much courses with exercises and written information. The general course duration is estimated to be two weeks for those who have completed it.
Pros
- It’s completely.
- Suitable for beginners.
- Training participants can chat on Discord and examine their progress.
Cons
- May be self- motivated to total, as it is personal- paced.
- Less aggressive and in-depth than the other courses on the list.
Pre-requisites
None.
University of Michigan Coursera: Python for Everyone Expertise: Best for aspiring data experts
Professor of Python for Everybody Specialization on Coursera is Clinical Professor Charles Russell Severance of the University of Michigan School of Information ( also known as” Dr Chuck.” It covers basic programming rules, but in the Python speech, setting up members to be able to move onto another dialects. It covers database, online scraping, database design, data structures, and more. A Browser library-based culmination project allows the participants to create a system that retrieves, processes, and visualises web data.
Price
$ 59 a fortnight after a 7- time free trial.
Duration
Two weeks of 10 hours per week for two weeks can be accomplished.
Pre-requisites
None.
Pros
- a seasoned professor
- Suitable for beginners.
- Teaches sensible uses of Python for entry- stage data analysis part.
Cons
- Sure costs
- requires a lot of time commitment.
- Career certification itself is not nicely- respected.
Best for newbies who want normal lessons from 100 Time of Code: The Complete Python Pro Bootcamp on Udemy
In a reasonable amount of time, Dr. Angela Yu’s 100 Time of Code: The Complete Python Pro Bootcamp aims to help newbies become skillful Python developers. Dr. Yu is a renowned program trainer and has received invitations from businesses like Google, Facebook, and Twitter to train their employees. Her training helps its students to really understand the script rather than just churn out basic exercises by providing a problem with every new idea. Automation, game development, web development, data science, and machine learning are some topics covered. Reviewers praise the varied projects, Dr. Yu’s instruction, and the pacing.
Price
$109.99
Duration
100 days at one hour a day, however, course content is available on- demand.
Pre-requisites
None.
Pros
- a seasoned professor
- Suitable for beginners.
- encourages daily coding.
Cons
- Course cost
- Some outdated content based on reviewers comments.
- Some students may find it challenging to complete self-guided projects without an instructor until the course is over.
Best for beginners who want a comprehensive crash course, try Udemy’s Complete Python Bootcamp from Zero to Hero.
The Complete Python Bootcamp From Zero to Hero in Python, another top-rated Udemy course, is led by engineering graduate and respected instructor Jose Portilla. Through a series of 100 lectures, the course starts by guiding learners through installing Python on their operating system before getting into the basics and using the language to manipulate emails, PDFs, Excel files, images and more. Learners also have access to tests, exercises, and three more substantial projects in addition to lectures.
Price
Although Udemy’s weekly sales have significantly decreased, the full price is$ 189.99.
Duration
22 hours of on- demand video lectures plus articles and exercises.
Pre-requisites
None. It does have modules designed for programmers with little experience that cover advanced Python features.
Pros
- a seasoned professor
- Good explanations of the basics.
Cons
- limited programming for more complex subjects and Python for everyday tasks.
- Course cost
Futurecoder: The best tool for learning while traveling.
Futurecoder might be the course for you if you prefer to learn Python at your own pace through step-by-step exercises rather than video lectures. This has the fewest barriers to entry of all the courses, as no account is required to get started ( but you can get one if you want to save your progress ), and the whole thing takes place in- browser.
The exercise’s very gradual instruction, as well as the absence of extensive hints or solutions, are distinguishable features. It provides debugging tools for better understanding of what went wrong, and the answers are automatically graded. Error messages are also easily understood. futurecoder is 100 % free and has no ads, and feels more like Duolingo for coding than a university- style course.
Price
Free.
Duration
60 exercises total, taking between 10 and 30 minutes each.
Pre-requisites
None.
Pros
- ads-free.
- Slick interface.
Cons
- There are no video tutorials, but depending on your learning style, this might be helpful.
- It’s relatively brief, keeping the learner from advanced.
Automate the Boring Stuff with Python Programming- Udemy: Best for automating real- life tasks
Automate the Boring Stuff, taught by software engineer and tech book author Al Sweigart, is best for learners who want to dive right into real- world applications of Python. It’s ideal for office and administrative workers who want to increase their productivity by programmatically parsing spreadsheets, parsing documents, sending email alerts, and other things.
The majority of the course is screen recordings with Sweigart’s voiceover and some downloadable scripts, so those looking for something more engaging might want to switch to a different course. There are also a few quizzes, but most of them are onscreen.
Price
Full price is$ 119.99, however, Udemy has weekly sales that see this reduced significantly.
Duration
9. 5 hours.
Pre-requisites
None.
Pros
- focuses on logical Python uses right away.
- Based on a well- reviewed book of the same name.
- The book of theory can be downloaded for nothing.
Cons
- This course is not particularly helpful for those who want to work as a developer because it does n’t cover much of computer science theory.
- Certification is not well- regarded.
- Course cost
- Without any prior Python experience, some reviewers found the exercises challenging.
MITx Introduction to Computer Science and Programming using Python- edX: Ideal for in-depth computer science research
The first course on this list, which uses Python, calls for a fundamental understanding of mathematics and programming. Run by MITx, the online learning arm of the Massachusetts Institute of Technology, the lecture series intends to teach students how to think computationally to prepare them for a career in software engineering. It covers a wide range of topics, including algorithms, testing and debugging, and data structures, and includes lecture videos, exercises, and problem sets written in Python 3. 5.
Price
$ 49 for full access to the course materials and certification after the course is over. However, limited access to course materials is provided for free, but you cannot take graded assignments or exams.
Duration
9 weeks, 14 to 16 hours per week.
Pre-requisites
A reasonable aptitude for mathematics and high school algebra are required. Students without a prior programming background will find there is a steep learning curve.
Pros
- Expert MIT professor tutoring
- The course materials are provided for no cost.
Cons
- Course cost
- Not many real- world applications are taught that are based on the computer science theory.
- Reviewers claim that the accompanying textbook, which costs extra, makes things easier.
- The last section of the course involved complex math.
Professional Certificate in Learning Python for Data Science- Harvard University- edX: Best for machine learning and data science for beginners
If you’re looking to initiate a career in data science, then an education from Harvard University is a great place to start. Through edEx, the Professional Certificate in Learning Python for Data Science includes programming exercises, quizzes, and video lectures.
The popular CS50: Introduction to Computer Science module, as well as other modules that cover probability, data science, and machine learning, are accessible to students. While the material becomes in- depth like the other courses on this list, it does begin with teaching how to read and write Python code. Additionally, it uses libraries like numPy, matplotlip, and Pandas to implement applications of Python that are specific to data science.
Price
$747.
Duration
Three to six hours a week for six months.
Pre-requisites
None.
Pros
- Taught by Harvard University experts.
- data science specific.
Cons
- Course cost
- The course is very long.
Google Advanced Data Analytics Professional Certificate- Coursera: Best for advanced data analysts
Google’s Advanced Data Analytics Professional Certificate expects some proficiency with data analytics prior to starting the course, though Python fundamentals are covered as appropriate for beginners. Learners move from the fundamentals of language and data analysis to more sophisticated techniques for regression analysis and machine learning in this series of five courses.
It includes using machine learning to identify patterns in data, data visualization, analytics tools like Tableau and Jupyter Notebook, and more. Projects are distributed throughout the course that can add to the learner’s portfolio of work, and there is a capstone at the end that combines all the lessons.
Price
$ 59 a fortnight after a 7- time free trial.
Duration
At ten hours per week for six months.
Pre-requisites
prior knowledge of fundamental analytical skills, techniques, and methods. Some programming knowledge is also useful.
Pros
- Beyond the theoretical, data analytics is taught how to apply it to practical situations.
- includes information on the job market for data analysts and how to apply.
Cons
- Course cost
- Requires experience. Beginners should try the entry-level version.
- There is a lot of time commitment.
PCAP- Programming Essentials in Python- Cisco Networking Academy: Best for well- known certification
While certifications are somewhat controversial amongst developers, with some believing that experience is more valuable, pursuing a well- regarded accreditation is often a good way of ensuring you have comprehensive knowledge in an area. The most well-known set of Python certifications is available from the Python Institute at four different progression levels: entry-level, associate, professional 1, and professional 2.
The first two levels of the free course from Cisco Networking Academy help students get ready for the exams for Certified Entry-Level Python Programmer Certification and Certified Associate Python Programmer Certification. Content is delivered through practice labs, interactive activities, videos and assessments.
Price
Free, but the exams that lead to a formal certification cost extra. The PCEP exam is currently$ 59 for once, and$ 29 for the PCAP.
Duration
75 hours.
Pre-requisites
None.
Pros
- Suitable for beginners.
- The course materials are provided for no cost.
Cons
- The tests are not cost-free.
Is it worth paying for a Python course?
The short answer is that it depends on your motivations and budget.
A motivated student will be able to become familiar with Python thanks to a wealth of free resources that are accessible through some of the courses listed here as well as in library books, on YouTube, and elsewhere online. Many developers insist it is possible to master programming without paying a penny by working on small projects like those on GitHub and learning on the go, which could be a good option for those on a budget. Check out the free Python Programming MOOC 2024 and FutureCoder courses.
However, persistence is essential to learning new skills, and it can be challenging to do so without a defined learning schedule, connected coursemates, or course fees that could be wasted. For individuals with a tendency to start projects but not finish them, an initial investment in a structured course may provide the motivation they need. Additionally, many paid courses give students direct access to qualified instructors who can offer specific assistance that would otherwise not be available. A paid course like 100 Days of Code may be worthwhile in the long run because it gives students the motivation to keep on going.
Is Python the best programming language to learn?
For a variety of reasons, Python is widely regarded as one of the best programming languages for beginners.
- Its syntax is intuitive and resembles natural language in some ways, making it simple to understand.
- It is versatile, used in various relevant domains such as web development, data science, automation, AI and scientific computing.
- Developers can create larger programs without having to start from scratch thanks to its extensive libraries and frameworks, including NumPy, Pandas, and TensorFlow.
- It works well with platforms like Amazon Web Services and the Raspberry Pi, as well as other widely used languages like C++ and Java, as well as Terraform and REST API technologies.
- It is used by many major tech companies, including Google, Netflix and Meta.
- It has a sizable and active community of users who update tutorials, documents, and open-source projects to support learning.
Top Python libraries for AI and machine learning, SEE.
Do employers look at Python certifications?
Every employer is unique, and while some may be looking for unique skills that have been proven by respected certifications, others may be more interested in project management, collaboration, and other types of experiences. Examine the requirements for vacancies that might interest you before enrolling in a Python course to earn a certificate.
Certifications are somewhat controversial in the developer community for a number of reasons. Many people think that paid certifications are financially exploited because of the abundance of free resources for learning. Certifications can become outdated but still be marketed as worthwhile because programming languages and technologies also change quickly. Some courses focus more on teaching theoretical knowledge rather than how to solve real- world problems, and therefore the certification is not representative of programming ability.
On the other hand, junior developers have a tight job market, with many career changers seeking entry-level positions in technology and AI tools taking on tasks that are typically assigned to less experienced employees. Therefore, it is crucial to stand out from the competition on your resume, and certifications in particular software development fields can help. A certificate can also provide motivation to push through to the end of a lengthy course of study.
