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via Udemy |
Go to Course: https://www.udemy.com/course/calculo-para-machine-learning-e-modelagem-com-python/
Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review: Cálculo Diferencial e Integral com Python no Coursera** This course offers a clear and objective approach to the fundamental concepts of Differential and Integral Calculus, making it an excellent choice for students and professionals seeking a practical understanding of these mathematical topics through the power of Python programming. **Content and Structure:** The course covers a broad spectrum of essential calculus topics, including expressions, equations, functions, limits, derivatives (covering product rule, quotient rule, chain rule), successive derivatives, partial derivatives, gradients, gradient descent, regression models, indefinite integrals (via substitution and integration by parts), definite integrals, and their applications. What sets this course apart is the emphasis on practical demonstrations using Python, allowing learners to visualize and implement calculus concepts effectively. **Use of Technology:** Besides Python in Google Colaboratory, the course introduces additional mathematical software such as Desmos, Geogebra, and Symbolab, providing a comprehensive toolkit for exploring calculus visually and computationally. The course also offers an accessible introduction to Python basics within Google Colaboratory, ensuring that even those new to Python can follow along comfortably. **Mathematical Foundations:** A dedicated section revises fundamental mathematical concepts vital for grasping calculus, reinforcing learners' understanding and preparing them for more advanced topics. The course is designed to be flexible, compatible with various platforms including Windows, Linux, and Mac, and can be followed using multiple IDEs such as Jupyter Notebook, Visual Studio, Pycharm, or Spyder. **Strengths:** - Clear, practical focus with Python demonstrations - Includes software tools for visual learning - Suitable for beginners with introductory Python and mathematics sections - Well-structured to build from basic concepts to applications **Suggestions for Improvement:** The course is dynamic and open to enhancements — adding more interactive exercises, real-world problem sets, or advanced topics could further enrich the learning experience. **Final Thoughts and Recommendation:** If you're looking to deepen your understanding of calculus with an emphasis on visualization and programming, this course is highly recommended. Its balanced approach between theory and practical application makes complex concepts accessible and engaging. Regardless of your operating system or prior experience with Python, you'll find this course adaptable and beginner-friendly. **Whether you're a student, teacher, or professional interested in mathematical modeling or data science, enrolling in this course will open the door to a rich world of calculus with practical programming skills.** --- Let me know if you'd like a shorter summary or additional details!
Este curso aborda de forma clara e objetiva os principais conceitos de Cálculo Diferencial e Integral focado em demonstrações práticas utilizando a Linguagem de programação Python. Serão estudados os conteúdos sobre expressões, equações, funções, limites, derivadas (regra do produto, regra do quociente e regra da cadeia), derivadas sucessivas, derivadas parciais, gradiente, descida do Gradiente, modelos de regressão, integral indefinida (método da substituição e integração por partes), integral definida, aplicações de derivadas e aplicações de integral.Além da demonstração do uso de Python em Cálculo, são apresentados outros softwares matemáticos, como o Desmos, Geogebra e Symbolab.Na segunda seção encontra-se uma apresentação dos conceitos básicos de Python no Google Colaboratory, para que aqueles que não conhecem o Python e/ou o Google Colaboratory possam acompanhar o curso com tranquilidade. Já a terceira seção do curso é sobre os fundamentos de Matemática para o Cálculo Diferencial e Integral, o qual serve como revisão dos conceitos básicos matemáticos necessários para o bom entendimento do curso.O curso é apresentado no sistema operacional Windows, no Google Colaboratory, mas usuários do Linux e Mac acompanham tranquilamente. Além do Google Colaboratory (Colab), pode ser utilizado o Jupyter Notebook, Visual Studio, Pycharm, Spyder ou qualquer outra IDE de Python.O curso não é estático, qualquer sugestão de acréscimo de conteúdo é muito bem vindo.Bem vindos ao mundo fantástico do Cálculo Diferencial e Integral.