Análisis de datos empresariales con R from Coursera

Si tomas decisiones en tu empresa o deseas involucrarte en la ciencia de datos y el uso de tecnologías computacionales, este curso es para ti.

El análisis multivariado es muy importante y único, al tomar en cuenta al mismo tiempo las diferentes variables a las que está sujeta una entidad, la cual puede ser numérica o categórica, es decir, podemos analizar tanto datos que representan propiedades físicas o químicas, como datos que que son indicadores de una situación o estado.

De esta forma podemos analizar cualquier tipo de información proveniente de nuestra empresa y ser capaces de tomar mejores decisiones al considerar todos los factores que afectan a nuestro elemento en cuestión. Y esta es la parte que casi iguala la capacidad de nuestro cerebro de poder decidir de forma casi instantánea y ponderar todas las variables involucradas en la toma de una decisión que puede ser de vida o muerte.

Cada vez que manejamos sometemos a nuestro cerebro a un continuo análisis multivariado que pondera variables como la velocidad, las condiciones del clima, del camino, las distracciones internas y externas o los imprevistos que pudiéramos encontrar. Esto es lo que hacemos en el análisis multivariado, considerar muchas variables, discriminarlas, agruparlas, relacionarlas y conformar grupos de datos.

A lo largo de este curso, aprenderás las principales técnicas del análisis multivariante empleando R y R studio como herramienta de análisis, graficación y toma de decisiones. El software R de análisis estadístico y la plataforma de desarrollo R studio poseen la gran ventaja de ser de uso libre, con una gran comunidad de programadores que la enriquecen con librerías que hacen su uso sencillo y extremadamente poderoso.

En este curso, además de aprender los fundamentos de R y R studio, aplicaremos las técnicas de análisis multivariado como: componentes principales, análisis de clústeres y análisis discriminante en la solución de problemas y casos empresariales. No necesitas experiencia previa en programación solo conocimientos básicos de estadística, te guiaremos paso a paso en el uso de de estas herramientas y su aplicación.

What's inside

Syllabus

Inicia aquí

Módulo 1: Introducción al análisis multivariado

Módulo 2: Análisis visual de Datos Multivariados

Módulo 3: Análisis de clusters

Módulo 4: Análisis de componentes principales

Revisión de conocimientos

Fin del curso

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Analiza numerosos tipos de información empresarial para apoyar en la toma de decisiones al considerar todos los factores relevantes

Emplea R y R Studio, herramientas de análisis estadístico y desarrollo que son gratuitas, de uso libre y cuentan con una amplia comunidad de soporte

Aplica técnicas de análisis multivariante como componentes principales, análisis de clústeres y análisis discriminante para resolver problemas y casos empresariales

No requiere experiencia previa en programación, solo conocimientos básicos de estadística

Aborda el análisis multivariado de forma práctica, guiando paso a paso en el uso de herramientas y su aplicación

Requiere conocimientos básicos de estadística

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 empresariales con R with these activities:

Review basics of statistics

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Reviewing the basics of statistics will help you more easily consume the course materials and build a stronger foundation for learning.

Browse courses on Statistics

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Review your notes from a previous statistics course or textbook.
Take practice quizzes or answer end-of-chapter questions from a statistics textbook.
Watch online videos or tutorials that explain statistical concepts.

Follow tutorials on multivariate analysis techniques

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Following tutorials on multivariate analysis techniques will help you learn how to use the techniques and apply them to real-world problems.

Browse courses on Multivariate Analysis

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Find tutorials that cover the multivariate analysis techniques you are interested in.
Follow the tutorials step-by-step.
Complete the exercises and assignments in the tutorials.

Discuss multivariate analysis concepts with classmates

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Discussing multivariate analysis concepts with classmates will help you clarify your understanding of the concepts and learn from others.

Browse courses on Multivariate Analysis

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Find a classmate or group of classmates to meet with.
Choose a topic or concept to discuss.
Prepare for the discussion by reviewing the relevant material.
Meet with your classmates and discuss the topic.

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Solve multivariate analysis problems

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Solving multivariate analysis problems will help you develop a strong understanding of the concepts and techniques covered in the course.

Browse courses on Multivariate Analysis

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Find practice problems online or in a textbook.
Work through the problems step-by-step.
Check your answers against the solutions provided.

Participate in a multivariate analysis competition

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Participating in a multivariate analysis competition will challenge you to apply your skills and knowledge to solve real-world problems.

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Find a competition that is relevant to your interests.
Form a team or work individually.
Develop a solution to the problem.
Submit your solution and compete against other teams.

Create a presentation on a multivariate analysis technique

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Creating a presentation on a multivariate analysis technique will help you deepen your understanding of the technique and improve your communication skills.

Browse courses on Multivariate Analysis

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Choose a multivariate analysis technique to present on.
Research the technique and gather information.
Create a presentation that explains the technique, its applications, and its advantages and disadvantages.
Practice presenting your presentation.

Apply multivariate analysis to a real-world dataset

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Applying multivariate analysis to a real-world dataset will help you develop a deeper understanding of the technique and its applications.

Browse courses on Multivariate Analysis

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Find a real-world dataset that is relevant to your interests.
Load the dataset into a statistical software package.
Apply multivariate analysis techniques to the dataset.
Interpret the results of the analysis.

Career center

Learners who complete Análisis de datos empresariales con R will develop knowledge and skills that may be useful to these careers:

Data Analyst

Individuals in this role collect, clean, and analyze data to identify trends and patterns. The course, **Análisis de datos empresariales con R**, provides a foundation in multivariate analysis techniques using R, which are essential for uncovering insights from complex data. Expertise in these techniques can significantly enhance a Data Analyst's ability to extract meaningful information and make informed decisions.

See salaries and explore the career path for Data Analyst

Data Scientist

Data scientists employ statistical and computational methods to extract knowledge from data. The course, **Análisis de datos empresariales con R**, aligns with the role's focus on multivariate analysis. By mastering these techniques using R, individuals can develop the skills necessary to analyze complex datasets, build predictive models, and solve business problems.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to identify opportunities and solve problems within organizations. The course, **Análisis de datos empresariales con R**, provides a comprehensive understanding of multivariate analysis, enabling individuals to analyze complex business data, identify patterns, and make informed recommendations to improve decision-making.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians apply statistical principles to collect, analyze, interpret, and present data. The course, **Análisis de datos empresariales con R**, offers a thorough grounding in multivariate analysis, which is crucial for statisticians to effectively analyze complex data and draw meaningful conclusions.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers gather and analyze data to understand consumer behavior and market trends. The course, **Análisis de datos empresariales con R**, provides expertise in multivariate analysis techniques, enabling individuals to delve into complex market data, identify consumer segments, and make informed marketing decisions.

See salaries and explore the career path for Market Researcher

Epidemiologist

Epidemiologists investigate the causes and patterns of health and disease in populations. The course, **Análisis de datos empresariales con R**, offers valuable insights into multivariate analysis, which is crucial for analyzing epidemiological data, identifying risk factors, and developing effective public health strategies.

See salaries and explore the career path for Epidemiologist

Economist

Economists analyze economic data to understand economic trends and make predictions. The course, **Análisis de datos empresariales con R**, provides a solid foundation in multivariate analysis, enabling individuals to analyze complex economic data, forecast economic growth, and contribute to policy-making.

See salaries and explore the career path for Economist

Financial Analyst

Financial Analysts evaluate financial data to make investment recommendations. The course, **Análisis de datos empresariales con R**, offers expertise in multivariate analysis techniques, which are essential for analyzing financial data, identifying investment opportunities, and making sound investment decisions.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty. The course, **Análisis de datos empresariales con R**, provides a foundation in multivariate analysis, which is vital for actuaries to analyze complex data, model risks, and make informed decisions in the insurance and finance industries.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. The course, **Análisis de datos empresariales con R**, provides exposure to data analysis techniques using R, which can be beneficial for Data Engineers in understanding data requirements, designing data models, and optimizing data processing pipelines.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models. The course, **Análisis de datos empresariales con R**, provides a foundation in data analysis and multivariate techniques using R, which can be useful for Machine Learning Engineers in understanding data preprocessing, feature engineering, and model evaluation.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. The course, **Análisis de datos empresariales con R**, provides exposure to data analysis concepts and R programming, which can be beneficial for Software Engineers in developing data-driven applications and understanding data structures and algorithms.

See salaries and explore the career path for Software Engineer

Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to solve complex business problems. The course, **Análisis de datos empresariales con R**, provides a foundation in multivariate analysis techniques, which can be helpful for Operations Research Analysts in analyzing data, developing optimization models, and making informed decisions to improve operational efficiency.

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Quantitative Researcher

Quantitative Researchers use mathematical and statistical methods to analyze financial data and make investment decisions. The course, **Análisis de datos empresariales con R**, provides expertise in multivariate analysis techniques, which are essential for Quantitative Researchers to analyze complex financial data, identify trading opportunities, and develop quantitative trading strategies.

See salaries and explore the career path for Quantitative Researcher

Risk Manager

Risk Managers identify, assess, and mitigate risks within organizations. The course, **Análisis de datos empresariales con R**, provides a foundation in multivariate analysis, which can be beneficial for Risk Managers in analyzing data, identifying risk factors, and developing risk management strategies.

See salaries and explore the career path for Risk Manager

Análisis de datos empresariales con R

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