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Python courses

702 Courses

California Institute of Technology Coursera  Professional Certificate

Analista de Datos de IBM

Certificado Profesional de Analista de Datos de IBM | Coursera Desarrolla las competencias necesarias para convertirte en un analista de datos de nivel inicial mediante el Certificado Profesional de IBM. Este programa, compuesto por ocho cursos, te permitirá destacar en el competitivo mercado laboral de los analistas de datos, el cual se espera.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 43 weeks, 3 hours a week
California Institute of Technology Udemy

Aprenda Programação em Python 3 do Zero com Facilidade

Aprenda Programação em Python 3 do Zero com Facilidade Domine o Python3! Este curso completo inclui uma série de exercícios práticos e projetos para você aplicar o que aprendeu. Como bônus especial, saiba mais sobre Machine Learning Supervisionado em Python! Fornecido por: Udemy Categorias: Python Courses, Machine Learning Courses, scikit-learn.
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provider Udemy
pricing Paid Course
duration 12 hours 22 minutes
sessions On-Demand
California Institute of Technology Udemy

Curso completo de Estadística descriptiva - RStudio y Python

Curso completo de Estadística descriptiva - RStudio y Python Descubre las bases de R y Python desde cero, sin requerir experiencia previa, aplicadas al mundo del análisis y estadística descriptiva. Este curso completo ofrecido por Udemy te brinda las habilidades necesarias para manejar herramientas esenciales en el análisis de datos. Categorías.
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provider Udemy
pricing Paid Course
duration 1 day 20 hours 16 minutes
sessions On-Demand
California Institute of Technology Coursera  Professional Certificate

Ciencia de Datos de IBM

Ciencia de Datos de IBM La ciencia de datos es una de las profesiones más populares de la década. La demanda de científicos de datos que puedan analizar datos y comunicar resultados para informar decisiones basadas en datos nunca ha sido mayor. Este Certificado Profesional de IBM está diseñado para cualquier persona interesada en seguir una carrer.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 43 weeks, 5 hours a week
California Institute of Technology Udemy

Machine Learning e Data Science com Python de A a Z

Machine Learning e Data Science com Python de A a Z Aprenda as técnicas que o mundo real exige e torne-se um profissional competitivo na área de Inteligência Artificial com o curso Machine Learning e Data Science com Python de A a Z, disponível na plataforma Udemy. Explore categorias essenciais como: Python Courses Machine Learning Courses.
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provider Udemy
pricing Paid Course
duration 1 day 17 hours 45 minutes
sessions On-Demand
California Institute of Technology Udemy

TensorFlow: Machine Learning e Deep Learning com Python

TensorFlow: Machine Learning e Deep Learning com Python | Udemy TensorFlow: Machine Learning e Deep Learning com Python Construa redes neurais artificiais modernas com o Google TensorFlow e especialize-se em Inteligência Artificial! Oferta exclusiva da Udemy Python Courses Machine Learning Courses Deep Learning Cours.
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provider Udemy
pricing Paid Course
duration 19 hours
sessions On-Demand
California Institute of Technology Coursera  Specialization

Fundamentos de Ciencia de Datos con Python y SQL

Fundamentos de Ciencia de Datos con Python y SQL La ciencia de datos es una de las profesiones más populares de la década, y la demanda de científicos de datos que puedan analizar datos y presentar resultados para tomar decisiones basadas en datos nunca ha sido mayor. Esta Especialización de IBM ayudará a cualquier persona interesada en desarr.
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provider Coursera  Specialization
pricing Paid Course
duration 22 weeks, 3 hours a week
California Institute of Technology Udemy

Programação em Python do básico ao avançado

Programação em Python do básico ao avançado | Udemy Programação em Python do básico ao avançado Aprenda Python com Expressões Lambdas, Iteradores, Geradores, Orientação a Objetos e muito mais! Disponível na Udemy Categorias: Inteligência Artificial, Python, Ciência de Dados, Progr.
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provider Udemy
pricing Paid Course
duration 2 days 15 hours 33 minutes
sessions On-Demand
California Institute of Technology Udemy

Python Practicando. Desde 0 hasta Desarrollador en Python

Python Practicando: Desde 0 hasta Desarrollador en Python | Udemy Aprende Python desde cero, aunque no tengas ningún conocimiento previo, hasta desarrollar aplicaciones con mucha práctica. Este curso de Udemy te guiará paso a paso en tu camino para convertirte en un desarrollador Python competente. ¡Empieza tu viaje en la programación hoy.
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provider Udemy
pricing Paid Course
duration 1 day 1 hour 31 minutes
sessions On-Demand
California Institute of Technology Udemy

Mineração de Emoção em Textos com Python e NLTK

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provider Udemy
pricing Paid Course
duration 6 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!