Curso BootCamp de Ciencia de Datos Full Stack y Aprendizaje Automático

Curso BootCamp de Ciencia de Datos Full Stack y Aprendizaje Automático

Learn Python, Excel,Deep Learning, Power BI, SQL, Artificial Intelligence,Business Statistics, Capstone Projects
4.6/5
👨‍🎓 15,750+ estudiantes
🎓 Todos los niveles
34,5 horas
👨‍🏫 Akhil Vydyula
🏆 Certificado
📚 69 lecciones
💻 Ciencias de la información

¿Qué aprenderás?

Build a real-world portfolio: Create multiple data science projects to demonstrate your skills to potential employers.
Master data visualization: Design clear, insightful charts (bar, line, scatter, histogram, etc.) and use visualization techniques to explore and present large d
Develop deep learning skills: Construct, train, and deploy neural networks for tasks like image recognition and data classification.
Apply core algorithms: Use common data science and machine learning algorithms on real projects (for example, classifying mushrooms or analyzing images).
Use modern tools: Learn to work with data science tools and libraries (TensorFlow, NumPy, Matplotlib, Pandas, etc.) to process data and build models.
Understand how to use the latest tools in data science, including Tensorflow, Matplotlib, Numpy and many more
Computer with internet: Just have a Windows or Mac computer and internet access; that’s all you need to get started.

Requisitos

  • No prior experience required: You do not need any programming, calculus, or statistics background. We start from the very basics.
  • Free tools only: All course projects use free, open-source software—no paid tools needed.
  • No statistics knowledge required! I’ll teach you everything you need to know.
  • Also, no paid software required - all projects use free and open source software
  • All you need is Mac or PC computer with access to the internet

¿Para quién es este curso?

👤 Complete beginners: Anyone new to data science or machine learning looking for a comprehensive, step-by-step introduction.
👤 Career changers: Programmers and tech professionals who want to quickly learn data science workflows and tools.
👤 Aspiring ML engineers: Learners interested in building and applying machine learning and deep learning models.
👤 The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
👤 Portfolio builders: Students who want hands-on experience and to create projects they can showcase in job interviews.

Preguntas frecuentes

¿El curso incluye certificado?
Sí, este curso incluye certificado de finalización.
¿Cuántas lecciones incluye este curso?
Este curso incluye 69 lecciones.
¿Cuál es el nivel del curso?
El curso está clasificado como Todos los niveles.
¿Cuánto dura el curso?
La duración estimada del contenido es de 34,5 horas.
¿Quién imparte este curso?
Akhil Vydyula
¿Cuántos estudiantes se han inscrito?
Más de 15,750+ estudiantes se han inscrito en este curso.
Precio original: 19,99 US$
GRATIS
Cupos disponibles: 57 / 100
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