Técnicas Cuantitativas y Cualitativas para la Investigación from edX

El curso que se propone es ideal para investigadores y alumnos que se encuentren cursando trabajos de fin de grado, trabajos de fin de máster o realizando tesis, así como todos aquellos del área de la administración que quieran realizar un análisis cuantitativo o cualitativo en sus estudios. El curso pretende acercar al alumno al método científico y, en concreto, cómo éste se viene aplicando al estudio y análisis de los métodos de casos.

El curso pretende construir una base básica-inicial en los principios estadísticos, econométricos y metodológicos generales que permitan a los alumnos desarrollar un análisis completo desde el diseño de la investigación, la preparación de los datos, segmentación y codificación, hasta la obtención de resultados y respuestas a las preguntas de investigación. El curso enfatiza el método científico y el sistema de análisis de datos guiados por un modelo que pone énfasis en la descripción del punto de vista del participante, la generación entre las unidades de datos y el proceso de interpretación.

Unidades:

Fuentes de Información para la Investigación
Manejo de Paquetes Estadísticos
Modelos Econométricos
Análisis e Interpretación de Datos
Procesos de Investigación Cualitativa
Ética en la Investigación
Examen Final

What's inside

Learning objectives

Introducción de principios estadísticos, econométricos y metodológicos para la investigación
Análisis completo de todas las etapas del proceso de investigación

Aplicación del método científico al estudio de los métodos de casos
Aplicación del método científico al análisis de los métodos de casos

Introducción de principios estadísticos, econométricos y metodológicos para la investigación
Análisis completo de todas las etapas del proceso de investigación
Aplicación del método científico al estudio de los métodos de casos
Aplicación del método científico al análisis de los métodos de casos

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Construye una base en principios estadísticos, econométricos y metodológicos generales

Ofrece un enfoque del método científico al estudio de métodos de casos

Abarca el análisis completo desde el diseño de la investigación hasta la obtención de resultados

Enfatiza la descripción del punto de vista del participante en el análisis de datos

Explora el proceso de interpretación en el análisis de datos

Incorpora procesos de investigación cualitativa

Aborda la ética en la investigación

Reviews summary

Curso integral de investigación

Este curso proporciona una base sólida en métodos de investigación cuantitativos y cualitativos, desde el diseño hasta el análisis. Los estudiantes valoran especialmente el énfasis en el método científico y la cobertura de temas éticos.

Cobertura de temas éticos

"Ética en la Investigación"

Énfasis en el método científico

"El curso pretende acercar al alumno al método científico y, en concreto, cómo éste se viene aplicando al estudio y análisis de los métodos de casos."

Base sólida en métodos de investigación

"El curso pretende construir una base básica-inicial en los principios estadísticos, econométricos y metodológicos generales que permitan a los alumnos desarrollar un análisis completo desde el diseño de la investigación, la preparación de los datos, segmentación y codificación, hasta la obtención de resultados y respuestas a las preguntas de investigación."

Cobertura limitada de econometría

"Me gusto mucho, pero no asi la parte de Econometria, pues se da muy somera"

Pocos ejercicios prácticos

"Me hizo falta que hayan más ejercicios prácticos sobre Stata"

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 Técnicas Cuantitativas y Cualitativas para la Investigación with these activities:

Refresh knowledge of basic statistics

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Refresh your understanding of basic statistical concepts to strengthen your foundation for the course.

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Review notes or textbooks on basic statistics.
Complete practice problems or online quizzes.

Form a study group

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Enhance your understanding by collaborating with peers and engaging in discussions.

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Identify classmates with similar interests and learning styles.
Schedule regular study sessions to discuss course materials and assignments.
Take turns leading discussions and presenting key concepts.

Attend a data analysis workshop

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Enhance your practical skills by attending workshops tailored to data analysis and management.

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Identify and register for relevant workshops in your area or online.
Actively participate in the workshop activities and discussions.
Ask questions and seek clarification from the workshop instructors.

Five other activities

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Practice analyzing case studies

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Develop your analytical skills by practicing with real-world case studies.

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Identify a case study related to your field of interest.
Analyze the case study using the methods and techniques covered in the course.
Write a report summarizing your findings and insights.

Tutor or mentor junior students

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Reinforce your own understanding by mentoring or tutoring others, while also contributing to a positive learning environment.

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Identify opportunities to tutor or mentor junior students in the same field.
Prepare materials and activities to support their learning.
Provide guidance, support, and constructive feedback.

Design a research proposal

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Apply the principles of research design and writing to create a comprehensive research proposal.

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Identify a research topic and develop a research question.
Review literature and gather background information.
Develop a research design and methodology.
Write a research proposal following accepted guidelines.

Participate in a data analysis competition

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Challenge yourself by participating in data analysis competitions and apply your skills in a competitive setting.

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Identify and register for relevant data analysis competitions.
Form a team or work individually on the competition tasks.
Analyze and interpret data, develop models, and present your findings.

Contribute to an open-source data analysis tool

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Expand your coding abilities and immerse yourself in a collaborative learning environment by contributing to open-source projects.

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Identify open-source data analysis tools and choose one to contribute to.
Review the project's documentation and coding guidelines.
Identify potential areas for improvement or new features.
Write and test code modifications or additions.
Submit your contributions and participate in project discussions.

Career center

Learners who complete Técnicas Cuantitativas y Cualitativas para la Investigación will develop knowledge and skills that may be useful to these careers:

Statistician

Statisticians collect, analyze, interpret, and present data to provide insights into various fields such as science, medicine, business, and finance. The course's comprehensive coverage of statistical principles and methods can provide Statisticians with a strong foundation for designing and conducting statistical studies, analyzing data, and drawing evidence-based conclusions.

See salaries and explore the career path for Statistician

Data Scientist

Data Scientists use statistical and machine learning techniques to extract insights from data, and to develop solutions to business problems. The course's focus on statistical modeling, data analysis, and machine learning can provide Data Scientists with the skills needed to build and evaluate predictive models, and to develop data-driven solutions.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns, and to develop insights that can inform decision-making. The course's focus on data analysis techniques and statistical modeling can provide Data Analysts with the skills needed to effectively extract meaningful information from data.

See salaries and explore the career path for Data Analyst

Econometrician

Econometricians use statistical and mathematical techniques to analyze economic data and develop economic models. The course's focus on econometric modeling and data analysis can provide Econometricians with the skills needed to build and evaluate econometric models, and to use them to analyze economic data and make forecasts.

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Research Scientist

Research Scientists conduct experiments, analyze data, and develop theories to advance knowledge in various scientific fields. This course's emphasis on statistical, econometric, and methodological principles can provide Research Scientists with a strong foundation for designing and conducting rigorous research studies, analyzing data, and drawing evidence-based conclusions.

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Public Policy Analyst

Public Policy Analysts use research and data analysis to inform and evaluate public policy decisions. The course's focus on research methods and data analysis can provide Public Policy Analysts with the skills needed to design and conduct research studies, analyze data, and develop evidence-based policy recommendations.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to analyze and improve the efficiency of business operations. The course's focus on statistical modeling and data analysis can provide Operations Research Analysts with the skills needed to analyze data, identify inefficiencies, and develop solutions to improve operational performance.

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Quantitative Researcher

Quantitative Researchers use mathematical and statistical modeling to analyze financial data and develop trading strategies. The course's focus on econometric modeling and data analysis can provide Quantitative Researchers with the skills needed to build and evaluate quantitative models, and to develop data-driven trading strategies.

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Market Researcher

Market Researchers conduct studies to gather information about consumer behavior, market trends, and product preferences. This course's focus on quantitative and qualitative research methods can provide Market Researchers with the skills needed to design and conduct effective research studies, and to analyze and interpret data to identify consumer insights.

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Survey Researcher

Survey Researchers design, conduct, and analyze surveys to collect data on public opinion, consumer preferences, and other topics. The course's focus on research methods and data analysis can provide Survey Researchers with the skills needed to design and conduct effective surveys, and to analyze and interpret survey data.

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Quantitative Marketing Analyst

Quantitative Marketing Analysts use statistical and data analysis techniques to understand consumer behavior and develop marketing strategies. The course's focus on data analysis and statistical modeling can provide Quantitative Marketing Analysts with the skills needed to analyze data, identify trends, and develop data-driven marketing campaigns.

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Business Analyst

Business Analysts analyze business processes and systems to identify areas for improvement and develop solutions to enhance efficiency and productivity. The course's focus on statistical and econometric modeling can provide Business Analysts with the skills needed to analyze data, identify trends, and develop data-driven recommendations to improve business outcomes.

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Risk Analyst

Risk Analysts assess and manage risks associated with various business activities, such as financial investments, project management, and regulatory compliance. The course's focus on statistical modeling and data analysis can provide Risk Analysts with the skills needed to analyze data, identify risks, and develop strategies to mitigate them.

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Actuary

Actuaries use mathematical and statistical techniques to assess and manage financial risks associated with insurance, pensions, and other financial products. The course's focus on statistical modeling and data analysis can provide Actuaries with the skills needed to analyze data, identify risks, and develop strategies to mitigate them.

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Financial Analyst

Financial Analysts use financial data to evaluate the performance of companies, make investment recommendations, and advise clients on financial planning. The course's focus on econometric modeling and data analysis can provide Financial Analysts with the skills needed to analyze financial data, identify trends, and develop investment strategies.

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