Estadística aplicada a los negocios

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

Introduction

**Course Review and Recommendation: Estadística Aplicada a los Negocios on Coursera** In today's fast-paced business environment, making informed decisions is crucial. If you’re looking to bolster your decision-making skills through data analysis, “Estadística Aplicada a los Negocios” (Applied Statistics for Business) on Coursera is an outstanding course that offers valuable insights into the intersection of statistics and business. ### Course Overview “Estadística Aplicada a los Negocios” is designed to help you navigate the complexities of decision-making under uncertainty. The course emphasizes the importance of understanding and analyzing information, organizing data efficiently, and deriving actionable insights that can drive business success. By the end of the course, you will not only be adept at formulating business problems but also at structuring and processing information effectively. ### Syllabus Breakdown #### 1. **Estadística Descriptiva (Descriptive Statistics)** In the first week, you’ll learn how to organize and present information critical for decision-making. The course covers how to distill complex datasets without losing essential characteristics. You will evaluate which statistical tools and graphical representations are most suitable for given business problems. Engaging with descriptive statistics will equip you with the skills to summarize data meaningfully, an essential step in the decision-making process. #### 2. **Probabilidades y Decisiones Bajo Incertidumbre (Probabilities and Decisions Under Uncertainty)** Week two dives into the fundamental concepts of probability that are key in business and finance. You will explore behaviors of different variables and strategies for making rational decisions amid uncertainty. This section introduces critical concepts like the Value at Risk (VaR), which helps in measuring and managing risk effectively. Understanding these concepts will empower you to make decisions that enhance profitability and mitigate potential losses. #### 3. **Inferencia Estadística (Statistical Inference)** Moving on to week three, the focus shifts to statistical inference. You'll learn how to draw conclusions about a population based on sample data. Important topics include constructing confidence intervals for means and proportions, as well as testing hypotheses. Through practical exercises, you will understand the importance of sample size and the potential errors in inference. This section is invaluable in ensuring that your business decisions are data-driven and statistically sound. #### 4. **Introducción al Análisis de Regresión (Introduction to Regression Analysis)** The final week introduces regression analysis, a powerful statistical tool used in business analytics. You'll learn to estimate regression models and describe relationships between different variables, allowing you to gauge their impact on business outcomes. By the end of this section, you will have the skills needed to conduct predictive analysis, which can guide strategic business planning. ### Why You Should Enroll “Estadística Aplicada a los Negocios” is not just a course; it's an essential toolkit for anyone involved in business management or data analysis. Whether you're a student aspiring to enter the business world, a professional seeking to enhance your analytical skills, or a business leader aiming to make informed strategic decisions, this course will be beneficial. The structured approach combined with real-world applications makes it digestible and practical. Additionally, the ability to learn at your own pace on Coursera allows you to fit these learning modules into your schedule seamlessly. ### Conclusion In conclusion, I highly recommend the “Estadística Aplicada a los Negocios” course on Coursera for individuals seeking to deepen their understanding of statistics in the business arena. The content is rich and relevant, focusing on practical applications that are immediately applicable in a business context. By mastering the concepts taught in this course, you will significantly enhance your decision-making capabilities and ultimately drive success in your professional pursuits. Don’t miss this opportunity to equip yourself with critical statistics skills – enroll today!

Syllabus

Estadística Descriptiva

Bienvenidos al curso. En esta semana veremos los siguientes temas: organizar y presentar la información para la toma de decisiones; reducir lo máximo posible la información abundante, evitando omitir características importantes de los datos. Identificarás qué estadísticos y qué gráficos son más útiles de acuerdo al problema que se te presente; evaluarás, descriptivamente, cómo se relacionan dos variables; desarrollarás y aplicarás los distintos conceptos de estadística descriptiva para diferentes problemáticas vinculadas a los negocios.

Bienvenidos a la semana 2 del curso. En esta semana veremos los siguientes temas: las principales funciones de probabilidad utilizadas en el campo de los negocios y las finanzas; los comportamientos de las variables y determinación de posibles ganancias o pérdidas; la toma de decisiones racionales en un contexto de incertidumbre; modelos de probabilidad para tomar decisiones que permitan incrementar la rentabilidad y éxito de un negocio; conceptos relacionados con la probabilidad para, entre otras cosas, medir el riesgo a través del Valor en Riesgo (o VaR, por sus siglas en inglés) y determinar el nivel de stock de cierto producto.

Bienvenidos a la semana 3 de este curso. Esta semana veremos los siguientes temas: datos de una muestra para extrapolar las conclusiones para toda la población; intervalos de confianza para medias y proporciones; evaluación empíricamente las conjeturas o suposición que se realicen respecto de la media o proporción; toma de decisiones en base a la información proporcionada por los datos; importancia del tamaño de la muestra; errores que se pueden cometer en el proceso de inferencia estadística.

• Aprenderás a estimar modelos de regresión con aplicaciones a negocios • Podrás describir relaciones entre variables, intentando medir el impacto que tiene una sobre la otra. • Analizarás qué factores determinan una variable • Realizarás predicciones en base a los modelos estimados