Curso avanzado de estadística bayesiana con Python

Curso avanzado de estadística bayesiana con Python Course includes 13 hrs video content and enrolled by 1,008 students and received a 4.8 average review out of 5. Now, you will get $9.99 on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.

What you’ll learn

  • Interpretación bayesiana del concepto de probabilidad
  • Teorema de Bayes
  • Diferencia entre probabilidad frecuentista vs bayesiana
  • Pruebas A/B (A/B Testing)
  • ¿Qué métodos usar en la práctica según nuestro problema?
  • Métodos de muestreo
  • Estimación e Inferencia Bayesiana
  • Machine Learning Bayesiano
  • Cómo explicar los resultados estadísticos numéricos y visuales
  • Implementación de los análisis y códigos en Python
  • Ejemplos de datos reales para practicar con Python

Who this course is for:

  • Estudiantes de ingenierías, medicina o economía que busquen entender los métodos de la estadística bayesiana.
  • Estudiantes de Estadística que quieran profundizar en esta área más específica.
  • Ingenieros de IA y ML que quieran entender los fundamentos de los métodos que se basan en estadística bayesiana.
  • Estudiantes de doctorado que quieran conocer o estén investigando acerca de la estadística bayesiana.
  • Empresas o usuarios que quieran hacer análisis de datos o inferencia con métodos bayesianos.

Can I download Curso avanzado de estadística bayesiana con Python course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Curso avanzado de estadística bayesiana con Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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