Análisis Estadístico con Excel
This course is part of Análisis de datos para la toma de decisiones empresariales.
This comprehensive online course teaches students the fundamental concepts of statistics for applied data analysis using Excel. Starting with exploratory descriptive analysis and progressing to inferential statistics, the course emphasizes practical applications that enable students to properly manage data and make successful business decisions. Students will learn to calculate and interpret various statistical measures, work with probability distributions, develop sampling schemes, create confidence intervals, determine sample sizes, perform regression and correlation analyses, conduct hypothesis testing, and use Excel's data analysis tools and specific statistical formulas for real-world applications. The course balances theoretical knowledge with hands-on practice to equip students with the statistical skills needed for effective business decision-making.
Instructors:
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What you'll learn
Learn central tendency, position, variation, and shape statistics Master binomial and normal probability distributions Understand sampling schemes and confidence intervals Calculate appropriate sample sizes Perform simple and multiple regression and correlation analysis Conduct hypothesis testing and Chi-square tests Work with index numbers Use Excel's data analysis tools and statistical formulas for data analysis
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course covers essential statistical concepts for data analysis with Excel. Topics include measures of central tendency, position, dispersion, and shape; binomial and normal probability distributions; sampling schemes and confidence intervals; sample size determination; simple and multiple regression and correlation analysis; hypothesis testing and Chi-square tests; index numbers; and calculations using Excel's data analysis tools and specific statistical formulas. The course emphasizes practical applications, enabling students to effectively analyze data and make informed business decisions.
Lección 1: Análisis exploratorio de datos
Module 1
Lección 2: Aplicación de probabilidades
Module 2
Lección 3: Cómo inferir a base de muestras y relacionando variables
Module 3
Lección 4: Números índice y confirmando supuestos
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Análisis de datos para la toma de decisiones empresariales
Payment options
Financial Aid
Instructor
4 Courses
Vicedecano de la Facultad de Ciencia, Tecnología e Industria de Universidad Galileo, especialista en manejo de datos. at Universidad Galileo
Samuel Reyes Gómez is Vice-Dean at Universidad Galileo, specializing in data management. He holds a Ph.D. in Research Sciences, M.Sc. in Agricultural Economics, and e-Learning. His expertise includes data analysis, statistics, and project management.
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