Análisis de datos: Llévalo al MAX() from edX

Este curso de análisis de datos (business intelligence: BI) y estadísticas es para todos aquellos que quieran mejorar sus habilidades en el análisis de datos. ¿Buscas una forma inteligente de visualizar los datos para que tengan sentido? ¿Quieres entender esa colección de datos loca que te dio tu jefe? ¿Tienes Megabytes de sensores de datos para analizar? ¡No te preocupes, de eso nos ocupamos!

Por medio de videos y ejercicios prácticos, te enseñaremos técnicas de vanguardia y las mejores prácticas que mejorarán tu análisis de datos y tus habilidades de visualización de datos en Microsoft Excel.

Profundizaremos en el análisis de datos con hojas de cálculo: tablas dinámicas, BuscarV, rangos, análisis Y-Si, haciendo gráficos geniales. Todo esto será cubierto en las primeras semanas del curso. Luego, nos enfocaremos en la calidad del modelo de las hojas de cálculo, especialmente en cómo asegurar que tu hoja de cálculo se mantenga libre de errores.

Finalmente, una vez que hayamos dominado las hojas de cálculo, explicaremos otras técnicas para guardar y analizar datos. También investigaremos cómo el lenguaje de programación Python puede ayudarnos a analizar y manipular datos en las hojas de cálculo.

Este curso del programa de Certificación Profesional se crea usando Excel 2013 y Excel 2016, manteniendo las versiones más actualizadas del sistema de Office, ambos sobre Windows. La mayoría de los ejercicios pueden realizarse usando otro programa de hojas de cálculo y otro sistema operativo, pero no podemos ofrecer un apoyo completo para todas las configuraciones.

El objetivo de este curso es ayudarte a superar los desafíos del análisis de datos en tu trabajo, investigación o estudios. Te invitamos a participar activamente en los foros y a plantear los problemas reales de análisis de datos que afrontas.

What's inside

Learning objectives

Superar los desafíos del análisis de datos en tu trabajo e investigación
Aumentar la productividad y tomar mejores decisiones de negocio usando técnicas de análisis de datos
Mejorar tus habilidades de análisis de datos utilizando hojas de cálculo
Aprender posibilidades avanzadas de las hojas de cálculo como fórmulas de matrices y tablas dinámicas

Repasar las características de excel 2013 como powerpivot & powermap
Utilizar python para analizar y manipular datos
Organizar y evaluar tus hojas de cálculo

Superar los desafíos del análisis de datos en tu trabajo e investigación
Aumentar la productividad y tomar mejores decisiones de negocio usando técnicas de análisis de datos
Mejorar tus habilidades de análisis de datos utilizando hojas de cálculo
Aprender posibilidades avanzadas de las hojas de cálculo como fórmulas de matrices y tablas dinámicas
Repasar las características de excel 2013 como powerpivot & powermap
Utilizar python para analizar y manipular datos
Organizar y evaluar tus hojas de cálculo

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Amplía las oportunidades profesionales al profundizar en el análisis de datos y las habilidades de visualización de datos

Fomenta habilidades analíticas avanzadas utilizando hojas de cálculo, incluyendo tablas dinámicas y fórmulas de matrices

Destaca las funcionalidades de Microsoft Excel 2013 y 2016, asegurando la relevancia para los usuarios actuales

Introduce Python para la manipulación y análisis de datos, ampliando las habilidades de los alumnos

Subraya la importancia de la organización y evaluación de las hojas de cálculo para la claridad y precisión

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 Análisis de datos: Llévalo al MAX() with these activities:

Create a course summary and knowledge base

Show steps

Enhance your learning by organizing and summarizing course materials.

Show steps

Review and organize notes, assignments, and course materials.
Create a digital or physical summary of key concepts and insights.

Revise spreadsheet fundamentals

Show steps

Brush up on the basics of spreadsheets and data analysis to prepare for the course.

Browse courses on Spreadsheets

Show steps

Review basic spreadsheet functions and formulas.
Practice creating and formatting tables and charts.

Participate in study groups

Show steps

Collaborate with other students to discuss course concepts, solve problems, and reinforce understanding.

Show steps

Join or form study groups with classmates.
Review course materials together.
Work on assignments and projects collaboratively.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Solve data analysis problems

Show steps

Reinforce your understanding of data analysis techniques through practice problems.

Show steps

Find and analyze datasets related to the course topics.
Apply data analysis techniques to solve problems and draw insights.

Explore advanced Excel features

Show steps

Enhance your Excel skills by learning advanced features and techniques.

Show steps

Find tutorials on advanced Excel features such as Power Pivot and Power Query.
Follow the tutorials and practice using the new features.
Apply these features to your own data analysis projects.

Create a data visualization dashboard

Show steps

Showcase your data analysis skills by creating a visualization dashboard to communicate insights effectively.

Show steps

Choose a dataset and identify key insights.
Design and develop the dashboard using visualization tools.
Test and iterate on the dashboard to improve usability and clarity.

Analyze and improve a real-world dataset

Show steps

Apply your data analysis skills to a practical project and learn from real-world data.

Show steps

Identify a real-world dataset or problem to analyze.
Clean and prepare the data for analysis.
Apply data analysis techniques to extract insights and identify opportunities.
Present your findings and recommendations based on the analysis.

Contribute to open-source data analysis tools

Show steps

Gain practical experience and contribute to the data analysis community by participating in open-source projects.

Show steps

Identify open-source data analysis projects to contribute to.
Review the project's documentation and codebase.
Make bug fixes, add new features, or improve documentation.
Submit pull requests and collaborate with project maintainers.

Career center

Learners who complete Análisis de datos: Llévalo al MAX() will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts hold positions vital to data-driven organizations. The course Análisis de datos: Llévalo al MAX() allows serious candidates to expand their skills in advanced data analysis, learning the basics of Python and how it can be leveraged for data analysis. Furthermore, this course is an excellent primer on data quality, allowing the Data Analyst to make informed decisions based on data integrity.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. The course Análisis de datos: Llévalo al MAX() offers a comprehensive introduction to statistical concepts, along with hands-on practice using Excel and Python. This will be a valuable refresher for those wishing to enter the field, and help you to develop the skills needed for success as a Statistician.

See salaries and explore the career path for Statistician

Quantitative Analyst

Quantitative Analysts combine financial modeling and statistical analysis to assess risk and make investment decisions. The course Análisis de datos: Llévalo al MAX() provides a solid grounding in these core skills, including instruction on how to use Python to analyze and manipulate data. Additionally, the course explores other techniques for data storage and analysis, a skillset that is in high demand among Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts make sense of complex financial information. As such, the course Análisis de datos: Llévalo al MAX() is an excellent foundation for those seeking to break into the field. Through training in statistical analysis and visualization, the aspiring Financial Analyst can prepare themselves to analyze company revenues, market trends, and economic indicators to make sound financial recommendations.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts rely on data to forecast trends and provide direction to businesses. The course Análisis de datos: Llévalo al MAX() teaches skills that are directly applicable to this role. Specifically, the curriculum's modules on Python and data quality will help you better prepare for more advanced topics, allowing you to quickly move into this role.

See salaries and explore the career path for Market Research Analyst

Business Analyst

Business Analysts excel using their analytical and problem-solving skills to empower businesses. The course Análisis de datos: Llévalo al MAX() provides the foundation for these skills by teaching the basics of data analysis. Detailed coursework on the use of pivot tables, formulas, charts, and graphs prepares you for the analytical tasks required within an organization to make difficult decisions.

See salaries and explore the career path for Business Analyst

Business Intelligence Analyst

Business Intelligence (BI) Analysts translate data into actionable insights for businesses. The course Análisis de datos: Llévalo al MAX() may help you enter the field, as it covers core BI concepts such as data analysis, data visualization, and data quality. Additionally, the course's in-depth coverage of Excel will provide you with a valuable skillset for your career as a BI Analyst.

See salaries and explore the career path for Business Intelligence Analyst

Risk Analyst

Risk Analysts identify, assess, and manage financial risks. The course Análisis de datos: Llévalo al MAX() equips you with the proficiency in data analysis and visualization techniques needed in this field. Furthermore, the course's coverage of Excel's advanced features, such as PowerPivot and PowerMap, will give you a competitive edge in the job market.

See salaries and explore the career path for Risk Analyst

Information Technology (IT) Consultant

IT Consultants help businesses improve their use of technology. The course Análisis de datos: Llévalo al MAX() is an excellent foundation for those seeking to become IT Consultants, as it provides a comprehensive introduction to data analysis and visualization. The course also covers advanced Excel features, which are essential for IT Consultants who need to work with data on a regular basis.

See salaries and explore the career path for Information Technology (IT) Consultant

Product Manager

Product Managers must understand customer needs and market trends in order to develop successful products. The course Análisis de datos: Llévalo al MAX() provides a strong foundation in data analysis and visualization, skills that are essential for Product Managers to make data-driven decisions about product development and marketing.

See salaries and explore the career path for Product Manager

Data Scientist

Data Scientists use their knowledge of data analysis and machine learning to solve complex problems. The course Análisis de datos: Llévalo al MAX() may serve as a primer for those seeking to begin work as a Data Scientist. In this course, you will learn the basics of data analysis and visualization, as well as how to use Python for data manipulation and analysis. Additional modules on data quality and spreadsheet organization will help you build a strong foundation for a career in this field.

See salaries and explore the career path for Data Scientist

Data Architect

Data Architects design and manage data systems. The course Análisis de datos: Llévalo al MAX() may be useful as you pursue a career as a Data Architect. This course covers the basics of data analysis, data visualization, and data quality, all of which are essential skills for Data Architects.

See salaries and explore the career path for Data Architect

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. The course Análisis de datos: Llévalo al MAX() may be useful as part of your educational background as you pursue a career as a Machine Learning Engineer. This course teaches foundational skills in data analysis, visualization, and programming with Python.

See salaries and explore the career path for Machine Learning Engineer

Operations Research Analyst

Operations Research Analysts require high-level skills in statistical analysis to solve complex operational issues. The course Análisis de datos: Llévalo al MAX() may be helpful in your journey to becoming an Operations Research Analyst, as it builds a foundation in statistical analysis and visualization. You will learn how to use Excel for advanced data manipulation, as well as how to use Python to analyze and manipulate data from a variety of sources.

See salaries and explore the career path for Operations Research Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful as part of your educational background if you are interested in a career as a Software Engineer. The course covers the basics of data analysis and visualization, skills that are increasingly in demand for Software Engineers, especially those working on data-driven applications.

See salaries and explore the career path for Software Engineer