Advanced Probability Theory
Curso
283 Estudiantes ya inscritos- Gain a comprehensive understanding of additional probability theory topics pertinent to data science and analytics.
- Develop proficiency with both absolutely continuous and discrete random variables.
- Grasp the principles of cumulative distribution functions and probability density functions.
- Explore and characterize the features of random variables and random vectors.
Equipa tu negocio con tecnología de punta Datos e IA experiencia.
Compártelo en redes sociales y en tu evaluación de desempeño
Hay 4 módulos en este curso
Statistics and probability theory are fundamental tools in data analysis, decision-making, and scientific research. They provide a systematic and quantitative way to understand and interpret data, make predictions, and draw conclusions based on evidence. Now we will consider all additional topics necessary for Data Science and Data Analytics.- Course OverviewVista previa
- Absolutely Continuous and Discrete Random VariablesVista previa
- Cumulative Distribution Functions and Probability Density FunctionsVista previa
- Characteristics of Random VariablesVista previa
- Random VectorsVista previa
- Useful Properties of the Gaussian DistributionVista previa
- Challenge: Detecting Outliers Using 3-Sigma RuleVista previa
- General population. Samples. Population parameters.Vista previa
- Momentum estimation. Maximum Likelihood EstimationVista previa
- Challenge: Estimate Parameters of Chi-square DistributionVista previa
- Unbiased EstimationVista previa
- Challenge: Checking Bias of An Estimation Using SimulationVista previa
- Consistent EstimationVista previa
- Efficient EstimationVista previa
- Confidence Intervals for Population ParametersVista previa
- Challenge: Confidence Interval for Exponential Distribution ParameterVista previa
- What is Statistic Hypothesis? Type 1 and Type 2 ErrorsVista previa
- What is P-value?Vista previa
- Comparing Means of Two Different DatasetsVista previa
- Challenge: Using CLT to Compare Mean Values of Non-Gaussian DatasetsVista previa
- Challenge: Resampling Approach to Compare Mean Values of the DatasetsVista previa
- Testing the Hypothesis of Independence of Two Random VariablesVista previa
Elegido por estudiantes de las mejores escuelas
Por qué la gente elige Codefinity para su carrera
Kwizera Mugisha
The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.
Sherry Barnes-Fox
My first course was 4 hours, I did it in a few days, "nugget-style. The instructions are very clear and easy to understand. There is even a hint to help you get the answer, and if you still cannot get the answer, then you can display the answer. I love the learning style that is used, it engages me.
Bill Wagner
I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.
Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.
Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.
Steve Bruening
The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
Reseñas de estudiantes
5.0
4 reseñas
5
100%
4
0%
3
0%
2
0%
1
0%
Mostrando 3 de 4 reseñas
Lex Xai
5
Revisado en Jun 23, 2024
Nice
Yurii Kuchirka
5
Revisado en Jan 5, 2024
It is very good course for this complicated topic. Anyway it would be good to provide more practical examples from real life usage of such material
Subhransu Mohanty
5
Revisado en Dec 16, 2023
Very well explained
Recomendado si estás interesado en aprenderPython
¡Abraza la fascinación de las habilidades tecnológicas! Nuestro asistente de IA proporciona retroalimentación en tiempo real, pistas personalizadas y explicaciones de errores, empoderándote para aprender con confianza.
Con Espacios de trabajo, puedes crear y compartir proyectos directamente en nuestra plataforma. Hemos preparado plantillas para tu conveniencia
Toma el control de tu desarrollo profesional y comienza tu camino hacia el dominio de las últimas tecnologías
Los proyectos del mundo real elevan tu portafolio, mostrando habilidades prácticas para impresionar a posibles empleadores
Acceso completo al catálogo
Una suscripción abre este curso y todo nuestro catálogo de proyectos y habilidades.
Contenido seleccionado de alta calificaciónNuevos cursos añadidos semanalmenteAsistente de IA para responder cualquier preguntaComunidad apasionada de estudiantes
100+ Cursos de alta calificaciónCertificados de finalizaciónAsistente de IA en todos los cursos
20+ Proyectos prácticos del mundo realRutas de estudio personalizadasEspacios de trabajo ilimitados100+ Cursos de alta calificaciónCertificados de finalizaciónAsistente de IA en todos los cursos20+ Proyectos prácticos del mundo realRutas de estudio personalizadasEspacios de trabajo ilimitadosTu suscripción también incluye:
Preguntas frecuentes
¿Aún tienes preguntas?
Escribe tu pregunta aquí
