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Sandip Saha Joy and Steve Ryan
Este curso está diseñado para proporcionarle los conocimientos básicos de trabajo para utilizar las hojas de cálculo de Excel para el análisis de datos. Cubre algunos de los primeros pasos para trabajar con hojas de cálculo y su uso en el proceso de análisis de datos. Incluye muchos videos, demostraciones y ejemplos para que aprenda, seguidos de instrucciones paso a paso para que los aplique y practique en una hoja de cálculo en vivo. Excel es una herramienta esencial para trabajar con datos, ya sea para negocios, marketing, análisis de datos o investigación. Este curso es adecuado para aquellos que aspiran a asumir el análisis...
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Este curso está diseñado para proporcionarle los conocimientos básicos de trabajo para utilizar las hojas de cálculo de Excel para el análisis de datos. Cubre algunos de los primeros pasos para trabajar con hojas de cálculo y su uso en el proceso de análisis de datos. Incluye muchos videos, demostraciones y ejemplos para que aprenda, seguidos de instrucciones paso a paso para que los aplique y practique en una hoja de cálculo en vivo. Excel es una herramienta esencial para trabajar con datos, ya sea para negocios, marketing, análisis de datos o investigación. Este curso es adecuado para aquellos que aspiran a asumir el análisis de datos o la ciencia de los datos como una profesión, así como aquellos que sólo quieren utilizar Excel para el análisis de datos en sus propios dominios. Obtendrá una valiosa experiencia en la limpieza y la gestión de datos mediante funciones y luego analizará sus datos mediante técnicas como el filtrado, la clasificación y la creación de tablas dinámicas. Este curso comienza con una introducción a las hojas de cálculo como Microsoft Excel y Google Sheets y la carga de datos de múltiples formatos. Con esta introducción aprenderá a realizar algunas tareas de limpieza y de discusión de datos de nivel básico y continuarás ampliando tus conocimientos sobre el análisis de datos mediante el uso de filtros, clasificación y tablas dinámicas dentro de la hoja de cálculo. Realizando estas tareas a lo largo del curso, le dará una comprensión de cómo las hojas de cálculo pueden ser utilizadas como una herramienta de análisis de datos y comprenderá sus limitaciones. Hay un fuerte enfoque en la práctica y el aprendizaje aplicado en este curso. Con cada laboratorio, obtendrá experiencia práctica en la manipulación de datos y comenzará a comprender el importante papel de las hojas de cálculo. Limpie y analice sus datos más rápido al comprender las funciones en el formato de los datos. A continuación, convertirá sus datos en una tabla pivotante y aprenderá sus características para que sus datos estén organizados y sean legibles. El proyecto final le permite mostrar sus recién adquiridas habilidades de análisis de datos. Al final de este curso usted habrá trabajado con varios conjuntos de datos y hojas de cálculo y demostrado los fundamentos de la limpieza y el análisis de datos, todo ello sin tener que aprender ningún código. Comenzar a usar Excel es fácil en este curso. No requiere ninguna experiencia previa con hojas de cálculo o codificación. Tampoco requiere descargas o instalación de ningún software. Todo lo que se necesita es un dispositivo con un moderno navegador web, y la capacidad de crear una cuenta de Microsoft para acceder a Excel en línea sin costo alguno. Sin embargo, si ya tiene una versión de escritorio de Excel, también puede seguirlo fácilmente.
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Good to know

Know what's good
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Focuses on foundational data analysis techniques
Suited for those aspiring to enter data analysis or data science professions
Appropriate for beginners in data analysis
Useful for those who want to utilize Excel for data analysis
Offers hands-on practice through lab exercises
Covers basic and essential tasks for working with Excel for data analysis

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Reviews summary

Excel for data analysis fundamentals

This course provides a solid foundation for using Microsoft Excel to analyze data. It covers key concepts like data cleaning, analysis techniques, and pivot tables through video demonstrations, practice exercises, and step-by-step instructions. While the course is primarily in English, its emphasis on practical application and the availability of translated materials enhance its accessibility. However, some users have reported issues with accessing laboratory data and incorrect translations, which may impact the learning experience.
Concepts are explained in a clear and concise manner.
"Excelente la explicacion, muy claros los conceptos y los videos son una excelente guia. "
Emphasizes hands-on practice through lab exercises.
"With each laboratory, you will get practical experience in the manipulation of data and will begin to comprehend the significant role of spreadsheets."
"Clean and analyze your data faster by understanding the functions in the format of the data."
Introduces valuable techniques for data cleaning and analysis.
"Obtendrá una valiosa experiencia en la limpieza y la gestión de datos mediante funciones y luego analizará sus datos mediante técnicas como el filtrado, la clasificación y la creación de tablas dinámicas."
"Excelente punto de partida para iniciar o reforzar nuestras habilidades de análisis de datos"
Some users have reported incorrect translations and missing Spanish subtitles.
"La traducción al español no se realiza de forma correcta por lo que algunas preguntas de las pruebas a evaluar no tienen sentido."
"En la descripcion decian que el curso era en español y es en ingles"
"Las traducciones en español son muy malas y tiende a confundirse en las instrucciones en las pruebas prácticas y laboratorios por la mala traducción."
Some users have reported difficulties accessing data files for lab exercises.
"NO SE ENCUENTRAN LOS ARCHIVOS PARA REALIZAR LA PRÁCTICA"
"hace falta los link para descargas de algunos laboratorios"
"Los links para realizar las prácticas de laboratorio no están disponibles"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Conceptos Básicos de Excel para el Análisis de Datos with these activities:
Refresh Microsoft Excel skills
Revisiting the basics of Excel will help you hit the ground running when the course begins.
Browse courses on Microsoft Excel
Show steps
  • Review the basics of Excel, including creating and editing spreadsheets, using formulas, and formatting data.
  • Complete a few practice exercises to solidify your understanding.
Review Basic Math Skills
Review basic math skills to strengthen your foundation for data analysis.
Show steps
  • Practice arithmetic operations: addition, subtraction, multiplication, and division.
  • Solve simple algebra equations.
Compile a list of Excel resources
Having a collection of resources will provide you with a valuable reference for future use.
Browse courses on Data Analysis Tools
Show steps
  • Gather resources on Excel, including tutorials, articles, and books.
  • Organize the resources into a central location.
13 other activities
Expand to see all activities and additional details
Show all 16 activities
Revise introductory statistics
Refreshing your understanding of introductory statistics will strengthen your foundational knowledge for this course.
Browse courses on Descriptive Statistics
Show steps
  • Review notes or textbooks from previous statistics courses.
  • Complete practice problems or online quizzes to test your understanding.
Learn about Data Cleaning Techniques
Explore tutorials on data cleaning techniques to improve the quality of your data.
Browse courses on Data Cleaning
Show steps
  • Identify common data errors and inconsistencies.
  • Learn how to handle missing values and outliers.
  • Practice data cleaning techniques using real-world datasets.
Create a Pivot Table in Excel
Practice creating pivot tables to organize and summarize data effectively.
Browse courses on Pivot Tables
Show steps
  • Import a data set into Excel.
  • Select the data you want to analyze and insert a pivot table.
  • Configure the pivot table by dragging fields to the rows, columns, and values sections.
  • Analyze the data and create meaningful insights.
Follow tutorials on data cleaning and analysis in Excel
Following tutorials will expose you to different techniques and approaches that you can use in the course.
Browse courses on Data Cleaning
Show steps
  • Find tutorials on data cleaning and analysis in Excel.
  • Follow the tutorials and complete the exercises.
Create simulated datasets
Creating simulated datasets will provide you with hands-on experience in data manipulation and preparation.
Show steps
  • Choose a research question or scenario that requires data analysis.
  • Determine the variables and their distributions based on your research question.
  • Use software or online tools to generate simulated data that meets your requirements.
Participate in online discussion forums
Engaging in discussions with peers will provide diverse perspectives and insights.
Show steps
  • Join online discussion forums related to Excel and data analysis.
  • Ask questions, share your experiences, and respond to others' queries.
Practice using Excel functions for data cleaning and analysis
Regular practice will improve your proficiency in using Excel functions for data cleaning and analysis.
Browse courses on Data Manipulation
Show steps
  • Find a dataset to work with.
  • Practice using Excel functions to clean and analyze the data.
Assist classmates in Excel workshops
Mentoring others will reinforce your understanding of Excel concepts and foster a collaborative learning environment.
Show steps
  • Identify opportunities to assist classmates in Excel workshops or study groups.
  • Prepare to answer questions and provide guidance on Excel functions and techniques.
  • Provide support and feedback to your classmates.
Explore advanced Excel functions
Delving into advanced Excel functions will enhance your data analysis capabilities.
Show steps
  • Identify specific Excel functions that align with your learning goals.
  • Search for tutorials or documentation on those functions.
  • Follow the tutorials and practice implementing the functions in Excel.
Create a data analysis project using Excel
Creating a project will allow you to apply the skills you learn in the course to a real-world scenario.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to work with.
  • Clean and analyze the data using Excel.
  • Create visualizations to present your findings.
Contribute to open-source data analysis projects
Participating in open-source projects will expose you to real-world data analysis challenges.
Show steps
  • Identify open-source data analysis projects that align with your interests.
  • Review the project documentation and contribute bug fixes or feature enhancements.
  • Collaborate with other contributors to expand your knowledge and make meaningful contributions.
Develop a data analysis dashboard
Creating a data analysis dashboard will allow you to showcase your data visualization and communication skills.
Show steps
  • Gather and clean the necessary data.
  • Choose appropriate visualizations to represent the data effectively.
  • Design and develop an interactive dashboard using Excel or other tools.
Contribute to an open-source Excel project
Contributing to an open-source project will allow you to learn from others and contribute to the Excel community.
Browse courses on Data Analysis Tools
Show steps
  • Find an open-source Excel project to contribute to.
  • Read the project documentation and make a contribution.

Career center

Learners who complete Conceptos Básicos de Excel para el Análisis de Datos will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their understanding of data and analysis techniques to find trends and patterns in data that can be used to make better decisions. This course can help you develop the skills needed to become a Data Analyst by teaching you how to clean and analyze data, create visualizations, and communicate your findings.
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to develop and apply analytical models to data. This course can help you develop the skills needed to become a Data Scientist by teaching you how to clean and analyze data, build models, and communicate your findings.
Business Analyst
Business Analysts use their knowledge of business and technology to analyze and improve business processes. This course can help you develop the skills needed to become a Business Analyst by teaching you how to collect and analyze data, identify problems, and develop solutions.
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to develop and apply analytical models to improve business processes. This course can help you develop the skills needed to become an Operations Research Analyst by teaching you how to collect and analyze data, build models, and make recommendations.
Market Research Analyst
Market Research Analysts use their understanding of consumer behavior and market trends to help businesses make better decisions. This course can help you develop the skills needed to become a Market Research Analyst by teaching you how to collect and analyze data, identify trends, and make recommendations.
Financial Analyst
Financial Analysts use their knowledge of finance and economics to analyze and make recommendations on investments. This course can help you develop the skills needed to become a Financial Analyst by teaching you how to collect and analyze data, build models, and make forecasts.
Management Consultant
Management Consultants use their knowledge of business and technology to help organizations improve their performance. This course can help you develop the skills needed to become a Management Consultant by teaching you how to collect and analyze data, identify problems, and develop solutions.
Systems Analyst
Systems Analysts use their knowledge of business and technology to analyze and improve business systems. This course can help you develop the skills needed to become a Systems Analyst by teaching you how to collect and analyze data, identify problems, and develop solutions.
Actuary
Actuaries use their knowledge of mathematics, statistics, and finance to assess and manage risk. This course may be useful for Actuaries who want to learn more about data analysis techniques.
Software Engineer
Software Engineers use their knowledge of computer science to design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn more about data analysis techniques.
Epidemiologist
Epidemiologists use their knowledge of public health and statistics to investigate and control diseases. This course may be useful for Epidemiologists who want to learn more about data analysis techniques.
Statistician
Statisticians use their knowledge of mathematics and statistics to collect, analyze, and interpret data. This course may be useful for Statisticians who want to learn more about data visualization techniques.
Database Administrator
Database Administrators use their knowledge of database systems to design, build, and maintain databases. This course may be useful for Database Administrators who want to learn more about data analysis techniques.
Data Engineer
Data Engineers use their knowledge of computer science and data engineering to design, build, and maintain data pipelines. This course may be useful for Data Engineers who want to learn more about data analysis techniques.
Web Developer
Web Developers use their knowledge of web development technologies to design, build, and maintain websites. This course may be useful for Web Developers who want to learn more about data analysis techniques.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Conceptos Básicos de Excel para el Análisis de Datos.
Provides a comprehensive overview of Excel's data analysis capabilities, including data cleaning, manipulation, and visualization.
Focuses on using Excel for business analysis tasks, including data exploration, modeling, and reporting.
Covers advanced Excel techniques for scientific data analysis, including statistical analysis, regression, and data visualization.
Provides a detailed guide to using pivot tables for data analysis and visualization, which key technique covered in the course.
Introduces Microsoft Power BI as a tool for data analysis and visualization, which could provide additional insights beyond what is covered in the course.

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