Fundamentos de estadística aplicada

Go to Course: https://www.coursera.org/learn/estadistica-aplicada-fundamentos

Introduction

# Course Review: Fundamentos de Estadística Aplicada **Platform:** Coursera **Language:** Spanish **Level:** Intermediate **Recommended For:** Professionals pursuing postgraduate studies in engineering, administration, or economics, as well as university students seeking to bolster their understanding of applied statistics. ### Overview The course **"Fundamentos de estadística aplicada"** offers a comprehensive introduction to applied statistics designed for professionals across diverse fields. It targets those who wish to master the fundamental concepts of statistics, making it particularly beneficial for individuals preparing for postgraduate programs where statistical knowledge is essential. University students will also find this course helpful for strengthening their statistical foundation and enhancing their analytical skills. In the age of data-driven decision-making, having a solid grasp of statistical principles is crucial. This course not only teaches theoretical concepts but also focuses on practical applications, ensuring that learners can translate knowledge into real-world solutions. ### Syllabus Breakdown The course is structured into four key modules, each focusing on essential statistical concepts: 1. **Distribuciones Muestrales y Estadística Descriptiva** This introductory module sets the stage by covering basic statistical descriptive methods and population parameter estimation. By the end, you'll be able to calculate, interpret, and analyze vital descriptive statistics, giving you a solid grounding in understanding data sets. 2. **Intervalos de Confianza** Moving forward, this module dives into constructing and interpreting confidence intervals—an invaluable skill for anyone dealing with statistical analysis. You will learn how to calculate and analyze these intervals, enhancing your ability to make informed decisions based on statistical data. 3. **Pruebas de Hipótesis** This section focuses on hypothesis testing, including the formulation of null and alternative hypotheses and understanding Type I and Type II errors. By mastering these concepts, you will be equipped to identify, formulate, and evaluate the most commonly used statistical tests, an essential skill in many professional scenarios. 4. **Regresión Lineal** The final module introduces simple and multiple linear regression models, emphasizing how to build, analyze, and interpret these models. You will develop the skills to construct linear regression models, interpret their outcomes, and verify the underlying assumptions, which is pivotal for any data analysis. ### Review and Recommendation The **"Fundamentos de estadística aplicada"** course is exceptionally well-structured and offers a logical progression from basic to advanced concepts. The teaching methodology combines theoretical insights with practical applications, ensuring that learners can utilize their knowledge effectively. The course content is relevant and applicable to various fields, including engineering, administration, and economics. One of the standout features of this course is its focus on real-world applications, which strengthens the learner's ability to apply statistical concepts beyond academic settings. Additionally, the supportive online learning environment allows for flexibility, making it accessible for busy professionals and students alike. Moreover, the course is delivered in Spanish, making it an excellent option for native Spanish speakers or those looking to improve their professional language skills in a specific domain. ### Final Thoughts If you are a professional seeking to enhance your statistical skills or a university student wanting to solidify your understanding of applied statistics, I wholeheartedly recommend **"Fundamentos de estadística aplicada."** The course's structured syllabus, practical focus, and accessible format make it a valuable asset for anyone looking to thrive in a data-driven world. You will walk away not only with knowledge but with the confidence to apply that knowledge effectively in your career or studies. Enroll today and take the first step toward mastering the fundamentals of applied statistics!

Syllabus

Módulo sin título

Bienvenidos al primer módulo de este curso donde haremos una introducción al mundo de la estadística. En este módulo trataremos conceptos básicos de estadística descriptiva y de estimación de parámetros poblacionales. Al final de este módulo serás capaz de: calcular, interpretar y analizar las principales estadísticas descriptivas de un conjunto de datos; y de construir estimadores, y comprender e interpretar sus propiedades básicas y sus aplicaciones.

En este módulo nos ocuparemos de estudiar la construcción, análisis e interpretación de los intervalos de confianza de uso más común en las aplicaciones. Al final de este módulo serás capaz de: construir, calcular e interpretar intervalos de confianza

En este módulo nos ocuparemos de estudiar las definiciones de hipótesis nula e hipótesis alterna, prueba estadística y región crítica, errores tipo I y tipo II, así como la construcción de pruebas de hipótesis de uso más común en las aplicaciones. Al final de este módulo serás capaz de: identificar, formular y evaluar las pruebas de hipótesis estadísticas de mayor aplicación.

En este módulo nos ocuparemos de la formulación de modelos de regresión lineal simple y múltiple, así como el análisis e interpretación de sus resultados. Al final de este módulo serás capaz de: construir modelos de regresión lineal simple y múltiple, interpretar sus resultados y verificar sus supuestos.