Cómo combinar y analizar datos complejos from Coursera

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Syllabus

Estimación básica

Tras completar los módulos 1 y 2 de este curso, entenderás cómo estimar estadísticas descriptivas, generales y de subgrupos de los datos de encuestas. Revisaremos el software usado para la estimación (R, Stata o SAS) con ejemplos sobre cómo estimar determinados valores, como medias, proporciones y totales. También aprenderán a estimar parámetros en modelos lineales, logísticos y de otro tipo, y conocerán las opciones de software, haciendo especial hincapié en R. En los módulos 3 y 4, se hablará sobre cómo agregar datos a los análisis. Esto supone conocer de técnicas de vinculación de registros y saber qué se requiere a fin de obtener los permisos necesarios para vincular datos.

Modelos

En el módulo 2, se explica cómo estimar parámetros de modelos lineales y logísticos mediante datos de encuestas. Tras completar este módulo, entenderás cómo los métodos utilizados son distintos de los que se usan en datos que no son de encuestas. También hablaremos sobre las características de los conjuntos de datos de encuestas que deben tenerse en cuenta cuando se estiman errores estándar de parámetros de modelos estimados.

Vinculación de registros

El módulo empieza con el debate actual en torno al uso de más registros administrativos (vinculados) en el Sistema Estadístico Federal de los EE. UU. y una motivación general para vincular registros. Se ofrecerán numerosos ejemplos que explican por qué es útil vincular datos. Se analizarán los desafíos de la vinculación de registros. También se incluye un resumen breve sobre las técnicas clave de vinculación.

Ética

En este módulo, se mencionarán los problemas clave a la hora de obtener el consentimiento para la vinculación de registros. La falta de consentimiento puede provocar sesgos en las estimaciones. Se darán ejemplos de investigaciones actuales, así como sugerencias prácticas sobre cómo obtener el consentimiento de vinculación.

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Para estudiantes que buscan reforzar sus conocimientos básicos en el uso de ponderaciones de encuestas

Para estudiantes que buscan aplicar técnicas de vinculación de registros y emparejamiento estadístico en sus investigaciones

Para estudiantes que buscan desarrollar sus habilidades en el análisis de datos y la estimación de modelos estadísticos

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 Cómo combinar y analizar datos complejos with these activities:

Review Mathematics of Probability

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Reviewing probability concepts will help to fortify your understanding of survey statistics.

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Examine basic rules of probability.
Review concepts of conditional probability and Bayes' theorem.

Brush up on Basic Statistics

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Reviewing basic statistical concepts will provide a strong base for understanding survey statistics.

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Revise central tendency and dispersion measures.
Review sampling distributions and the Central Limit Theorem.

Solve practice problems on sampling distributions

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Solving practice problems on sampling distributions will help you apply concepts learned in the course.

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Find the mean and standard deviation of a sampling distribution.
Use the Central Limit Theorem to approximate probabilities.

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Create infographics on survey design

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Creating infographics on survey design will help you visualize and understand the key concepts.

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Identify the key elements of survey design.
Design an infographic that visually represents these elements.

Follow tutorials on data visualization

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Following tutorials on data visualization will provide you with practical skills to present survey results.

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Explore different data visualization tools and techniques.
Learn how to create effective visualizations that convey insights clearly.

Contribute to an open-source data visualization project

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Collaborating on data visualization projects will broaden your understanding and practical skills.

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Identify an open-source data visualization project that aligns with your interests.
Join the project community and contribute your skills.

Career center

Learners who complete Cómo combinar y analizar datos complejos will develop knowledge and skills that may be useful to these careers:

Statistician

Statisticians collect, analyze, interpret, and present numerical data in order to develop meaningful conclusions and solve problems. This course, Cómo combinar y analizar datos complejos, teaches how to use survey weights to estimate descriptive statistics, more complex quantities, and parameters of models for linear and logistic regressions. Students will also gain experience with statistical matching and record linkage, two increasingly important processes for combining data from disparate sources. This course can be especially helpful for those who wish to specialize in survey research or data analysis.

See salaries and explore the career path for Statistician

Data Scientist

Data scientists apply mathematical and computational techniques to analyze and interpret vast amounts of data in order to extract insights and solve problems. This course, Cómo combinar y analizar datos complejos, provides a solid foundation in statistical methods for data analysis, including estimation of descriptive statistics, model parameters, and record linkage. This knowledge is essential for data scientists who wish to succeed in the field.

See salaries and explore the career path for Data Scientist

Survey Researcher

Survey researchers design, conduct, and analyze surveys in order to gather data about a population. This course, Cómo combinar y analizar datos complejos, provides training in the specific methods and techniques used in survey research, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge is essential for survey researchers who wish to produce high-quality data and insights.

See salaries and explore the career path for Survey Researcher

Market Researcher

Market researchers collect, analyze, and interpret data about markets and consumers in order to develop marketing strategies. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in market research, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for market researchers who wish to specialize in survey research or data analysis.

See salaries and explore the career path for Market Researcher

Public Health Analyst

Public health analysts collect, analyze, and interpret data in order to assess and improve public health. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in public health, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge is essential for public health analysts who wish to produce high-quality data and insights.

See salaries and explore the career path for Public Health Analyst

Business Analyst

Business analysts use data to analyze business processes and make recommendations for improvement. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in business analysis, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for business analysts who wish to specialize in data analysis.

See salaries and explore the career path for Business Analyst

Health Economist

Health economists use economic principles to analyze and improve the efficiency of healthcare systems. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in health economics, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for health economists who wish to specialize in data analysis or health policy.

See salaries and explore the career path for Health Economist

Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty in order to develop insurance and pension plans. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in actuarial science, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for actuaries who wish to specialize in data analysis or risk management.

See salaries and explore the career path for Actuary

Data Analyst

Data analysts use statistical methods and techniques to analyze data in order to extract insights and solve problems. This course, Cómo combinar y analizar datos complejos, provides a strong foundation in statistical methods for data analysis, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge is essential for data analysts who wish to succeed in the field or specialize in areas like survey research.

See salaries and explore the career path for Data Analyst

Economist

Economists use economic theories and data to analyze and solve economic problems. This course, Cómo combinar y analizar datos complejos, provides a solid foundation in the statistical methods used in economics, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge is essential for economists who wish to succeed in the field or conduct research using data.

See salaries and explore the career path for Economist

Policy Analyst

Policy analysts use data and research to inform and develop public policy. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in policy analysis, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for policy analysts who wish to specialize in data analysis or research.

See salaries and explore the career path for Policy Analyst

Risk Manager

Risk managers use statistical methods to identify, assess, and manage risks. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in risk management, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for risk managers who wish to specialize in data analysis or risk assessment.

See salaries and explore the career path for Risk Manager

Social Scientist

Social scientists use social theories and data to analyze and solve social problems. This course, Cómo combinar y analizar datos complejos, provides a solid foundation in the statistical methods used in social science research, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge is essential for social scientists who wish to succeed in the field or conduct research using data.

See salaries and explore the career path for Social Scientist

Survey Statistician

Survey statisticians design, conduct, and analyze surveys in order to gather data about a population. This course, Cómo combinar y analizar datos complejos, provides advanced training in the statistical methods used in survey research, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge is essential for survey statisticians who wish to produce high-quality data and insights.

See salaries and explore the career path for Survey Statistician

Transportation Analyst

Transportation analysts use data to analyze and improve transportation systems. This course, Cómo combinar y analizar datos complejos, provides training in the statistical methods used in transportation analysis, including survey weighting, estimation of descriptive statistics and model parameters, and record linkage. This knowledge can be especially helpful for transportation analysts who wish to specialize in data analysis or transportation planning.

See salaries and explore the career path for Transportation Analyst

Cómo combinar y analizar datos complejos

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