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José Antonio Núñez Mora
Este curso te permitirá desarrollar habilidades como un tomador de decisiones con base a las siguientes competencias:
Read more
Este curso te permitirá desarrollar habilidades como un tomador de decisiones con base a las siguientes competencias:
Read more
Este curso te permitirá desarrollar habilidades como un tomador de decisiones con base a las siguientes competencias:
- análisis de elementos estadístico de la información
- conceptos y fundamentos estadísticos para la aplicación del área de ciencia de datos.
Por medio de la estadística descriptiva, el estudio y análisis de distribuciones de probabilidad discreta y continua, así como la estimación por intervalos para la media y la proporción es como lograrás desarrollar ambas competencias.
What you'll learn
A través de este curso los participantes podrán:
● Aplicar métodos básicos estadísticos al entorno de los negocios
● Utilizar herramientas tecnológicas para desarrollar habilidades cuantitativas
● Interpretar los resultados de métodos estadísticos aplicados a los negocios
Register for this course and see more details by visiting:
OpenCourser.com/course/xv4rg6/introduccion
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What's inside
Syllabus
Tema 1: Estadística descriptiva
1.1 Tipos de datos; Escalas de medición; Organización de datos cualitativos y cuantitativos; Representación gráfica.
Read more
Syllabus
Tema 1: Estadística descriptiva
1.1 Tipos de datos; Escalas de medición; Organización de datos cualitativos y cuantitativos; Representación gráfica.
Read more
1.2 Medidas de tendencia central; Medidas de posición; Medidas de dispersión; Estadística descriptiva en tu laptop.
Tema 2: Distribuciones de Probabilidad Discreta
2.1 Variable aleatoria discreta; Funciones de densidad y de probabilidad acumulada; Media y varianza de una variable aleatoria discreta; Propiedades fundamentales.
2.2 Distribución Poisson; Distribución Binomial.
Tema 3: Distribuciones de Probabilidad Continua
3.1 Variable aleatoria continua; Funciones de densidad y de probabilidad acumulada; Media y varianza de una variable aleatoria continua; Propiedades fundamentales.
3.2 Distribución Uniforme; Distribución Normal.
Tema 4: Estimación por intervalos para la media y la proporción
4.1 Cálculo de Intervalos de confianza; Cálculo de tamaño de muestra necesario para un error de estimación dado.
4.2 Distribución t de Student.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Imparte habilidades cuantitativas importantes para la toma de decisiones
Proporciona una base sólida para la ciencia de datos
Desarrolla competencias fundamentales para analizar datos estadísticos
Incluye herramientas tecnológicas para apoyar el aprendizaje práctico
Save this course
Save Introducción a Ciencias de Datos y Estadística Básica para Negocios to your list so you can find it easily later:
Save
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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 Introducción a Ciencias de Datos y Estadística Básica para Negocios with these
activities:
Review graphing skills
Show steps
Brush up on your graphing skills to strengthen your foundation for graphical representations and data visualization.
Browse courses on
Graphs
Show steps
-
Review types of graphs (scatterplot, bar chart, histogram, etc.)
-
Practice creating and interpreting graphs using real-world data
Create a comprehensive study guide
Show steps
Strengthen your retention by organizing and summarizing lecture notes, readings, and other materials into a concise and accessible study guide.
Browse courses on
Study Techniques
Show steps
-
Collect and review all relevant course materials
-
Identify key concepts, definitions, and examples
-
Organize the information into a logical and structured format
Calculate probability distributions
Show steps
Reinforce your understanding of probability distributions through consistent practice.
Browse courses on
Probability Distributions
Show steps
-
Solve problems involving discrete probability distributions (binomial, Poisson)
-
Calculate and graph continuous probability distributions (normal, uniform)
Four other activities
Expand to see all activities and additional details
Show all seven activities
Discuss statistical methods with peers
Show steps
Enhance your understanding and critical thinking skills by engaging in discussions with peers on various statistical methods.
Browse courses on
Statistical Analysis
Show steps
-
Join or create a study group or discussion forum
-
Share and discuss statistical methods, case studies, and best practices
-
Provide feedback and critique on each other's work
Attend a hands-on statistical workshop
Show steps
Gain practical experience and in-depth knowledge by attending a workshop that focuses on statistical methods.
Browse courses on
Statistical Methods
Show steps
-
Identify workshops relevant to your interests
-
Register and attend the workshop
-
Participate actively and apply the concepts learned to your studies
Learn advanced statistical techniques
Show steps
Expand your statistical knowledge by exploring advanced techniques through guided tutorials.
Browse courses on
Statistical Modeling
Show steps
-
Explore regression analysis and its applications
-
Learn about hypothesis testing and statistical inference
-
Apply advanced statistical techniques to real-world datasets
Develop a statistical simulation
Show steps
Solidify your understanding of statistical concepts by creating simulations that illustrate real-world scenarios.
Browse courses on
Statistical Modeling
Show steps
-
Choose a statistical concept to simulate
-
Design and implement a simulation using a programming language (e.g., Python, R)
-
Analyze the results of the simulation and draw conclusions
Review graphing skills
Show steps
Brush up on your graphing skills to strengthen your foundation for graphical representations and data visualization.
Browse courses on
Graphs
Show steps
Show steps
Show steps
- Review types of graphs (scatterplot, bar chart, histogram, etc.)
- Practice creating and interpreting graphs using real-world data
Create a comprehensive study guide
Show steps
Strengthen your retention by organizing and summarizing lecture notes, readings, and other materials into a concise and accessible study guide.
Browse courses on
Study Techniques
Show steps
Show steps
Show steps
- Collect and review all relevant course materials
- Identify key concepts, definitions, and examples
- Organize the information into a logical and structured format
Calculate probability distributions
Show steps
Reinforce your understanding of probability distributions through consistent practice.
Browse courses on
Probability Distributions
Show steps
Show steps
Show steps
- Solve problems involving discrete probability distributions (binomial, Poisson)
- Calculate and graph continuous probability distributions (normal, uniform)
Four other activities
Expand to see all activities and additional details
Show all seven activities
Discuss statistical methods with peers
Show steps
Enhance your understanding and critical thinking skills by engaging in discussions with peers on various statistical methods.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Join or create a study group or discussion forum
- Share and discuss statistical methods, case studies, and best practices
- Provide feedback and critique on each other's work
Attend a hands-on statistical workshop
Show steps
Gain practical experience and in-depth knowledge by attending a workshop that focuses on statistical methods.
Browse courses on
Statistical Methods
Show steps
Show steps
Show steps
- Identify workshops relevant to your interests
- Register and attend the workshop
- Participate actively and apply the concepts learned to your studies
Learn advanced statistical techniques
Show steps
Expand your statistical knowledge by exploring advanced techniques through guided tutorials.
Browse courses on
Statistical Modeling
Show steps
Show steps
Show steps
- Explore regression analysis and its applications
- Learn about hypothesis testing and statistical inference
- Apply advanced statistical techniques to real-world datasets
Develop a statistical simulation
Show steps
Solidify your understanding of statistical concepts by creating simulations that illustrate real-world scenarios.
Browse courses on
Statistical Modeling
Show steps
Show steps
Show steps
- Choose a statistical concept to simulate
- Design and implement a simulation using a programming language (e.g., Python, R)
- Analyze the results of the simulation and draw conclusions
Career center
Learners who complete Introducción a Ciencias de Datos y Estadística Básica para Negocios will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. They use this information to help businesses make better decisions. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods that are essential to this field.
Data Scientist
Data Scientist
Data Scientists use advanced statistical and computational techniques to extract insights from data. They use this information to help businesses make better decisions. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help teach the foundational skills for working with data.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. They use this information to make investment recommendations and to manage risk. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods they rely on.
Actuary
Actuary
Actuaries use statistical and mathematical models to assess risk and uncertainty. They use this information to develop and price insurance products. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods used in actuarial science.
Data Analyst
Data Analyst
Data Analysts mine company data to discover trends and patterns that can be used to improve operations and make better business decisions. They typically have a strong foundation in statistics and programming. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help teach these essential skills through its coverage of probability distributions and estimation.
Financial Analyst
Financial Analyst
Financial Analysts use data and statistical models to evaluate the financial performance of companies and to make investment recommendations. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods used in financial analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical models to solve business problems. They use this information to make recommendations to business leaders. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods used in operations research.
Risk Manager
Risk Manager
Risk Managers identify and assess the risks that a business faces. They develop and implement strategies to mitigate these risks. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods used in risk management.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can be used to improve business performance. They use this information to make recommendations to business leaders. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods used in business intelligence.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct surveys and collect data to understand customer needs and preferences. They use this information to help businesses develop new products and services, and to target marketing campaigns. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in the statistical methods used in market research.
Data Engineer
Data Engineer
Data Engineers design and build the systems that store, manage, and process data. They also develop the tools and techniques that allow data scientists and analysts to access and use data. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help build a foundation in data engineering by providing exposure to managing and processing large datasets.
Product Manager
Product Manager
Product Managers oversee the development and launch of new products and services. They are responsible for ensuring that a product meets the needs of the customer and is successful in the marketplace. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help teach the statistical methods used in product development and testing.
Market Researcher
Market Researcher
Market Researchers collect data about customer needs and preferences. They use this information to help businesses develop new products and services, as well as to target marketing campaigns. Introducción a Ciencias de Datos y Estadística Básica para Negocios can help teach the statistical methods used in market research.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business. They are responsible for ensuring that a business runs efficiently and effectively. Introducción a Ciencias de Datos y Estadística Básica para Negocios can be useful for someone looking to enter this field because it provides a foundation in data analysis and probability, two essential components of operations management.
Business Analyst
Business Analyst
Business Analysts use data, statistical analyses, and visualizations to address business inefficiencies. Their recommendations typically include data-backed solutions to financial and operational issues. Introducción a Ciencias de Datos y Estadística Básica para Negocios may be useful for someone looking to enter this field because it provides a foundation in statistical modeling and probability, two essential components of data analysis. The course also teaches students how to use statistical software, which is a valuable skill for a Business Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/xv4rg6/introduccion
Reading list
We've selected nine 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
Introducción a Ciencias de Datos y Estadística Básica para Negocios.
Este libro de texto clásico ofrece una cobertura integral de los conceptos y métodos estadísticos utilizados en los negocios y la economía. Es un recurso valioso para los estudiantes que buscan desarrollar una base sólida en estadística aplicada.
Este libro proporciona una introducción accesible a los conceptos y métodos de ciencia de datos. Es una lectura útil para principiantes que buscan desarrollar habilidades cuantitativas básicas.
Este libro de texto ofrece una cobertura práctica de los conceptos y métodos estadísticos utilizados en los negocios. Es un recurso valioso para los estudiantes que buscan desarrollar habilidades cuantitativas para la toma de decisiones basada en datos.
Este libro de texto proporciona una cobertura rigurosa de los conceptos y métodos de estadística matemática. Es un recurso valioso para los estudiantes y profesionales que buscan desarrollar habilidades cuantitativas avanzadas.
Este libro de texto ofrece una introducción completa a los conceptos y métodos de estadística bayesiana. Es un recurso valioso para los estudiantes y profesionales que buscan desarrollar habilidades cuantitativas avanzadas.
Save
Este libro de texto proporciona una introducción completa a los conceptos y métodos del aprendizaje profundo. Es un recurso valioso para los estudiantes y profesionales que buscan desarrollar habilidades cuantitativas avanzadas.
Este libro de texto ofrece una introducción completa a los conceptos y métodos del procesamiento del lenguaje natural. Es un recurso valioso para los estudiantes y profesionales que buscan desarrollar habilidades cuantitativas avanzadas.
Este libro de texto proporciona una cobertura rigurosa de los conceptos y métodos estadísticos utilizados en ingeniería y ciencias. Es un recurso valioso para estudiantes y profesionales que buscan desarrollar habilidades cuantitativas avanzadas.
Save
Este libro de texto proporciona una introducción accesible a los conceptos y métodos de probabilidad y estadística. Es un recurso valioso para los estudiantes que buscan desarrollar habilidades cuantitativas básicas.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xv4rg6/introduccion
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Effort
5 to 8 hours per week for 4 weeks
Level
Elementary
Via
edX
Institution
Tecnológico de Monterrey
Instructor
José Antonio Núñez Mora
Session
January 15, 2024
- December 31, 2024
Language
Español
Transcript
Español
This course belongs to a
collection
called
Habilidades cuantitativas esenciales en finanzas, negocios y ciencia de datos. It's comprised of three courses:
- Introducción a Ciencias de Datos y Estadística Básica para Negocios (viewing)
- Introducción a Matemáticas para Finanzas y Negocios
- Información financiera y su análisis
Good to know
Imparte habilidades cuantitativas importantes para la toma de decisiones
Proporciona una base sólida para la ciencia de datos
Desarrolla competencias fundamentales para analizar datos estadísticos
Incluye herramientas tecnológicas para apoyar el aprendizaje práctico
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