Python courses

702 Courses

Artificial Neural Networks (ANN) with Keras in Python and R

Delve into the world of Deep Learning with our comprehensive course on Artificial Neural Networks (ANN) provided by Udemy. This dynamic course is designed to help you master the construction of Neural Networks using the powerful TensorFlow 2.0 and Keras libraries in both Python and R programming languages. Whether you're interested in advancing you.
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provider Udemy
pricing Paid Course
duration 8 hours 37 minutes
sessions On-Demand

Create own Artificial Neural Network in Python

Discover the fundamentals of Artificial Neural Networks (ANN) and kickstart your journey into the world of AI with our beginner-friendly course. Offered by Udemy, a leading platform for online learning, this course is meticulously designed to guide you through creating your very own ANN using Python. Whether you're aiming to enhance your coding ski.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

IBM Applied AI

Discover the transformative power of Artificial Intelligence (AI) with the IBM Applied AI Professional Certificate, available on Coursera. AI is changing the landscape of industries worldwide, making knowledge in this field indispensable for students, developers, and technology consultants alike. Whether you're looking to gain an edge in your curre.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 26 weeks, 3 hours a week

Robot Localization with Python and Particle Filters

Embark on a fascinating journey into the world of robotics with our interactive, project-based course titled "Robot Localization with Python and Particle Filters." Over the course of an hour, learners will dive into the complexities of simulating a robot navigating an unknown terrain. Utilizing a terrain map and elevation sensor data, participants.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Accounting Data Analytics with Python

Embark on a transformative journey with the Accounting Data Analytics with Python course, offered by ESSEC Business School and made available through Coursera. Diving deeper than the introductory levels, this specialized program is meticulously designed to enhance Python skills, focusing on assembling and analyzing business-related data. Unlike its.
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provider Coursera
pricing Free Online Course (Audit)
duration 43 hours
sessions On-Demand

Business Analytics Foundations

Discover the rapidly expanding realm of business analytics with our comprehensive foundational program. This course is designed to equip learners with the essential skills necessary to analyze data within a business context, thereby enhancing decision-making processes. Participants will delve into the core aspects of business analytics, including d.
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provider edX  Microbachelors
pricing $996.00
duration 32 weeks, 8-10 hours a week

Artificial Neural Networks(ANN) Made Easy

Unlock the power of Artificial Neural Networks (ANN) with our comprehensive course, now available on Udemy. This beginner-friendly training is designed to guide you through the intricacies of ANN model building. Delve into the world of Python and TensorFlow, where you'll gain hands-on experience in fine-tuning ANN hyper-parameters. Whether you're k.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Inteligencia artificial aplicada

Explora el revolucionario mundo de la Inteligencia Artificial (IA) con nuestro completo programa de Certificación Profesional. A medida que la IA redefine el panorama tecnológico, se hace crucial para desarrolladores y consultores tecnológicos equiparse con conocimientos profundos y habilidades prácticas en inteligencia artificial. Este curso está.
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provider edX  Professional Certificate
pricing $195.00
duration 22 weeks, 2-4 hours a week

IBM Data Analyst

Embark on a journey towards a promising career in data analytics with the IBM Data Analyst Professional Certificate program. This comprehensive program is meticulously designed to equip you with the critical skills needed for thriving in the high-demand field of data analytics. Learn the ropes of Python, Excel, SQL, and more, becoming job-ready in.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 48 weeks, 3 hours a week

Developing AI Applications with Python and Flask

Embark on a journey to harness the power of Artificial Intelligence with our mini-course, "Developing AI Applications with Python and Flask." Designed for individuals aiming to refine their basic Python skills, this course offers a practical, hands-on approach to building AI-enabled applications. As a participant, you'll take on the role of a devel.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!