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Python courses

702 Courses

California Institute of Technology edX

Apprivoiser l’apprentissage automatique

Apprivoiser l'apprentissage automatique L’objectif principal du MOOC Apprivoiser l'Apprentissage Automatique est de vous présenter les concepts importants de manière simplifiée, puis de les pratiquer à l’aide de 7 tutoriels en Python sur l’application en ligne Colab accessible gratuitement. Le niveau théorique est ajusté pour mettre l’emphase sur.
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provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Coursera

ETL pipelines con Python: recopila datos de Spotify

ETL pipelines con Python: recopila datos de Spotify - Coursera Este Proyecto Guiado ETL pipelines con Python: recopila datos de Spotify es ideal para aquellos apasionados por descubrir los secretos musicales ocultos en la vasta biblioteca de Spotify. En este curso basado en proyectos de 1.5 horas de duración, aprenderás cómo: Extraer y tra.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Universidad de los Andes

Visualización de Datos - Gestión Empresarial

Visualización de Datos - Gestión Empresarial La visualización de datos surge como una poderosa herramienta que transforma los datos sin procesar en representaciones significativas y visualmente convincentes. Mejora la comunicación y la colaboración dentro de las organizaciones, facilitando el intercambio de conocimientos y hallazgos entre.
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provider Coursera
pricing Free Online Course (Audit)
duration 26 hours
sessions On-Demand
California Institute of Technology University of Naples Federico II

Applied Python Data Engineering

Applied Python Data Engineering Learn how to use data engineering to leverage big data for business strategy, data analysis, or machine learning and AI. By completing this course series, you'll empower yourself with the knowledge and proficiency required to build efficient data pipelines, manage cutting-edge platforms like Hadoop, Spar.
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provider Coursera  Specialization
pricing Paid Course
California Institute of Technology

How Neural Networks Learn: Exploring Architecture, Gradient Descent, and Backpropagation

How Neural Networks Learn: Exploring Architecture, Gradient Descent, and Backpropagation Neural networks drive many artificial intelligence applications today. This course will teach you what’s behind the magic—the dynamics of training neural networks, including backpropagation, gradient descent, and how to optimize network performance. So, you.
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California Institute of Technology Udemy

Python 2024: From Zero to Hero - Code Your Way to the Top

Python 2024: From Zero to Hero - Code Your Way to the Top University: Udemy Categories: Python Courses Python 2024: From Zero to Hero - Code Your Way to the Top. Blast off from beginner to pro with this comprehensive course! Enroll in Udemy's highly-rated Python curriculum and master the skills you need to excel in the world of coding. Perfect fo.
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provider Udemy
pricing Paid Course
duration 4 hours 41 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning and Business Intelligence Masterclass

Machine Learning and Business Intelligence Masterclass Discover the ultimate Machine Learning and Business Intelligence Masterclass available on Udemy. Master Machine Learning with Python and TensorFlow, and dive into Business Intelligence techniques using Siebel and BIP. Engage in hands-on projects to solidify your knowledge across multiple.
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provider Udemy
pricing Paid Course
duration 3 days 16 minutes
sessions On-Demand
California Institute of Technology Udemy

Business Analysis Masterclass (5 courses in 1)

Business Analysis Masterclass (5 courses in 1) | Udemy Business Analysis Masterclass (5 courses in 1) Discover all the essential skills you need for a successful Business Analyst career with our comprehensive masterclass. This all-in-one mega course covers: Tableau Python Excel SQL BigQuery Offered by Udem.
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provider Udemy
pricing Paid Course
duration 23 hours 10 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning and Deep Learning Projects in Python

Machine Learning and Deep Learning Projects in Python Discover 20 hands-on projects encompassing Machine Learning and Deep Learning, expertly implemented in Python. This comprehensive course provides all the code necessary for practical applications, guiding you from start to finish. Offered By: Udemy University: Categories: Python Cou.
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provider Udemy
pricing Paid Course
duration 5 hours 34 minutes
sessions On-Demand
California Institute of Technology OpenClassrooms

Utilisez des modèles supervisés non linéaires

Dans le cours Entraînez un modèle prédictif linéaire, vous avez appris à construire des modèles linéaires de classification binaire ou multi-classe et de régression. Mais ceux-ci peuvent ne pas être adaptés à la nature de vos données. Dans ce cours, vous apprendrez à entraîner des modèles supervisés non-linéaires sur vos données. Vous comprendre.
provider OpenClassrooms
pricing Free Online Course
duration 12 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!