Qué necesitas saber antes de
comenzar

Inicio 4 June 2026 02:25

Fin 4 June 2026

00 Días
00 Horas
00 Minutos
00 Segundos
course image

Statistics Fundamentals Using Excel

Fundamentos de Estadística Usando Excel Este curso está dirigido a familiarizar a profesionales en Datos y Negocios con los conceptos básicos del análisis estadístico y los métodos utilizados para la toma de decisiones basada en datos. Después de completar este curso, podrás aplicar métodos de análisis descriptivo e inferencial, usar métodos de.
via Coursera

2865 Cursos


No especificado

Actualización opcional disponible

Todos los niveles

Avanza a tu propio ritmo

Free

Actualización opcional disponible

Resumen

This course is aimed at familiarizing Data and Business professionals with the basic concepts of statistical analysis and methods used for data-driven decision-making. After completing this course, you will be able to apply descriptive and inferential analysis methods, use data visualization methods to communicate data, apply concepts of probability in real-life scenarios, and apply regression techniques to predict trends.

The course takes a hands-on approach to statistical analysis using Microsoft Excel and uses examples to illustrate the concepts to help you gain the foundational knowledge of statistical techniques needed to solve business intelligence (BI) problems.

A hands-on project will provide you an opportunity to apply the concepts to a real-life scenario involving data-driven decision-making and an understanding of basic statistical thinking and reasoning.

This course is suitable for professionals or students who aspire to embark on a career in the BI or Data Analytics fields by equipping them with the crucial skills and knowledge in statistical analysis. It is expected that learners be familiar with Excel/spreadsheet basics and high school mathematics prior to starting this course.

University:

Provider:

Coursera

Categories:

Statistics & Probability Courses, Data Visualization Courses, Microsoft Excel Courses


Impartido por

IBM Skills Network Team, Murtaza Haider and Rav Ahuja


Materias