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via Udemy |
Go to Course: https://www.udemy.com/course/python-do-zero-a-poo/
Certainly! Here's a comprehensive review and recommendation for the Python programming course on Coursera: --- **Course Review and Recommendation: Python Programming for Beginners by Fernando Feltrin** If you're seeking a fast and straightforward way to learn programming, especially focusing on one of the most versatile and popular languages today, this Python course by Fernando Feltrin on Coursera is an excellent choice. **Course Overview:** This course offers a clear, didactic, and self-paced approach to mastering Python from scratch. Designed for absolute beginners, it covers fundamental programming concepts, progressing through to more advanced topics like object-oriented programming. The course emphasizes practical skills, enabling students not only to replicate example codes but also to understand and apply the concepts practically by creating their own programs. **Content and Methodology:** The course adopts an autodidactic methodology, making it highly suitable for learners who prefer to learn independently. It provides comprehensive learning materials, including additional resources beyond the video lectures, to facilitate understanding and retention. Moreover, learners benefit from direct support from the instructor, Fernando Feltrin, ensuring doubts are promptly clarified. **Instructor Expertise:** Fernando Feltrin brings extensive experience as a computer engineer with specialization in data science and artificial intelligence. His background includes authoring over ten books on Python programming and hands-on experience in developing neural network applications for medical imaging. His expertise lends credibility and depth to the course content. **Certification:** Upon completion, participants receive an official certificate issued by Udemy, which can be valuable for showcasing your new skills to employers or for personal achievement. **Pros:** - Beginner-friendly and easy to follow - Practical, hands-on learning approach - Strong instructor expertise - Access to supplementary materials - Official certification **Cons:** - Focused solely on Python, so may need additional resources for other languages - Primarily suited for learners with no prior programming experience **Final Recommendation:** This course is highly recommended for beginners eager to learn Python effectively and efficiently. Its self-paced structure, practical approach, and expert instruction make it an ideal starting point for anyone interested in programming, data science, or artificial intelligence. Whether you're aiming to build a solid foundation or develop skills for more advanced projects, this course provides a comprehensive and engaging learning experience. --- Feel free to ask if you'd like a personalized recommendation or further details!
Aprenda programação de forma rápida e descomplicada por meio da linguagem de programação Python, uma das mais fáceis, modernas, robustas e eficientes linguagens de programação da atualidade. Neste curso você terá uma abordagem clara e didática criada de forma que você possa aprender do zero absoluto como programar na linguagem Python desde seus primeiros códigos até estruturas de programa mais robustas usando de orientação à objetos.O curso foi todo desenvolvido com uma metodologia autodidata, de modo que o(a) aluno(a) tem plenas condições de não somente replicar os exemplos apresentados, mas aplicar os conceitos das explicações de cada tópico criando e executando seus próprios códigos. Ao inscrever-se neste curso você também terá direito de acesso a materiais que auxiliarão no processo de aprendizagem, além, é claro, do suporte do próprio autor para solucionar toda e qualquer dúvida. Curso com certificado emitido pela Udemy.Curso desenvolvido por Fernando Feltrin, Engenheiro da Computação com especialização em ciência de dados e inteligência artificial, professor licenciado para docência de nível técnico e superior, autor de mais de 10 livros sobre programação em Python e responsável por desenvolvimento e implementação de aplicações voltadas a modelos de redes neurais artificiais aplicadas à radiologia (diagnóstico por imagem).