Coursera
  • Título en líneaExplorar títulos de grado de Licenciaturas y Maestrías
  • MasterTrack™Obtén crédito para una Maestría
  • Certificados universitariosImpulsa tu carrera profesional con programas de aprendizaje de nivel de posgrado
Buscar carrerasPara EmpresasPara universidades
  • Explorar
  • Principales cursos
  • Inicia Sesión
  • Únete de forma gratuita
    Coursera
    • Explorar
    • Statistical Analysis

    Filtrar por

    1905 resultados para "statistical analysis"

    • Placeholder
      Imperial College London

      Statistical Analysis with R for Public Health

      Habilidades que obtendrás: Probability & Statistics, General Statistics, Regression, Business Analysis, Statistical Analysis, Data Analysis, Machine Learning, Machine Learning Algorithms, Statistical Programming, Mathematics, Statistical Tests, R Programming, Probability Distribution, Correlation And Dependence, Basic Descriptive Statistics, Econometrics, Estimation, Bayesian Statistics, Exploratory Data Analysis, Critical Thinking, Data Analysis Software, Forecasting

      4.7

      (1.7k reseñas)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      University of Michigan

      Inferential Statistical Analysis with Python

      Habilidades que obtendrás: Probability & Statistics, Business Analysis, Computer Programming, General Statistics, Statistical Programming, Python Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Basic Descriptive Statistics, Data Analysis Software, Mathematics

      4.6

      (838 reseñas)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Habilidades que obtendrás: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, SAS (Software), Statistical Analysis, Statistical Programming, Statistical Tests, Regression, Correlation And Dependence, Advertising, Algebra, Communication, Journalism, Marketing

      4.6

      (80 reseñas)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Coursera Project Network

      Visualization for Statistical Analysis

      Habilidades que obtendrás: Exploratory Data Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      Coursera Project Network

      Statistical Analysis using Python Numpy

      Habilidades que obtendrás: Business Analysis, Computer Programming, Data Analysis, Probability & Statistics, Python Programming, Statistical Programming

      4.5

      (13 reseñas)

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      Google

      Google Data Analytics

      Habilidades que obtendrás: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (102.1k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Science

      Habilidades que obtendrás: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Database Application, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Administration, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (106.3k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Analyst

      Habilidades que obtendrás: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.9k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Habilidades que obtendrás: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Statistical Tests, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Database Application, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Administration, Extract, Transform, Load, Computational Logic, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (52.8k reseñas)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Engineering

      Habilidades que obtendrás: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Database Administration, Apache, Extract, Transform, Load, Python Programming, Database Application, Data Model, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Computer Architecture, Algebra, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Business Analysis, Cloud Engineering, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, Hardware Design, IBM Cloud, Interactive Data Visualization, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.5k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      Applied Data Science

      Habilidades que obtendrás: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (43.3k reseñas)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Analytics with Excel and R

      Habilidades que obtendrás: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.8k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    Búsquedas relacionadas con statistical analysis

    statistical analysis with r for public health
    statistical analysis using python numpy
    inferential statistical analysis with python
    introduction to statistical analysis: hypothesis testing
    visualization for statistical analysis
    sas statistical business analyst
    business statistics and analysis
    business statistics and analysis capstone
    1234…84

    En síntesis, estos son los 10 cursos más populares statistical analysis

    • Statistical Analysis with R for Public Health: Imperial College London
    • Inferential Statistical Analysis with Python: University of Michigan
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Visualization for Statistical Analysis: Coursera Project Network
    • Statistical Analysis using Python Numpy: Coursera Project Network
    • Google Data Analytics: Google
    • IBM Data Science: IBM Skills Network
    • IBM Data Analyst: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network

    Habilidades que puedes aprender en Business Essentials

    Análisis (37)
    Presentación (33)
    Modelado (29)
    Análisis Comercial (27)
    Idioma (26)
    Microsoft Excel (26)
    Escritura (26)
    Discurso (18)
    Planificar (17)
    Comunicación Empresarial (16)
    Toma De Decisiones (16)
    Liderazgo (15)

    Preguntas frecuentes sobre Análisis estadístico

    • Statistical analysis is the process of collecting and organizing data in order to observe patterns in that data. This discipline examines numerical data for trends, and it has practical applications across multiple industries and business sectors. Statistical analysts can examine large or small amounts of data to determine what the data shows—and what should be done with that information. The business world has relied on statistical analysis for years, but the advent of computer technology has made analyzing large amounts of data increasingly easy. Computers allow statisticians to analyze copious amounts of data and look for more specific patterns and trends than ever before.‎

    • Statistical analysis is important because it helps you make sense—and make use—of data. No matter what industry you work in, you see data every day. You may not know how to interpret the data, or there may just be too much data to understand on its own merits. Using statistical analysis can help you interpret key patterns in your data and sort out extraneous information to understand what the data means and what you should do about it. If you have a background in statistical analysis, you can also test or disprove any analysis that you receive from someone else as well.‎

    • A thorough knowledge of statistical analysis can help you find a career in the financial sector, information technology, or other areas of the business world. You can find jobs giving businesses advice on how to invest or how to manage their money more efficiently, or you can consult with companies on how to budget for large projects. Market research jobs rely on statistical analysis skills, while software engineers analyze data to develop and test new and updated applications. Data scientists work with various organizations to help them identify patterns and trends in their field of business.‎

    • From courses that introduce you to the basics of statistical analysis to more specific topics like hypothesis testing, data analysis in the health care industry, or risk management, you can gain a confident base of knowledge from online courses on Coursera. Specific topics you can discover include using logistic regression in R, survival analysis in R, bias and validity in epidemiology, statistics with Python, and data analytics.‎

    Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.
    Otros temas para explorar
    Placeholder
    Artes y Humanidades
    338 cursos
    Placeholder
    Negocios
    1095 cursos
    Placeholder
    Ciencias de la Computación
    668 cursos
    Placeholder
    Ciencia de Datos
    425 cursos
    Placeholder
    Tecnología de información
    145 cursos
    Placeholder
    Salud
    471 cursos
    Placeholder
    Matemáticas y Lógica
    70 cursos
    Placeholder
    Desarrollo Personal
    137 cursos
    Placeholder
    Ciencias Físicas e Ingeniería
    413 cursos
    Placeholder
    Ciencias sociales
    401 cursos
    Placeholder
    Aprendizaje de un idioma
    150 cursos

    Coursera Footer

    Comienza o impulsa tu carrera profesional

    • Analista de datos de Google
    • Certificado profesional de comercio electrónico y marketing digital de Google
    • Certificado profesional de Automatización de TI de Google con Python
    • Soporte de TI de Google
    • Gestión de proyectos de Google
    • Diseño de experiencia del usuario (UX) de Google
    • Prepárate para una certificación en Google Cloud: arquitecto de la nube
    • Analista de ciberseguridad de IBM
    • Analista en datos de IBM
    • Ingeniería de Datos de IBM
    • Ciencia de datos de IBM
    • Desarrollador de la nube de pila completa de IBM
    • Aprendizaje automático de IBM
    • Contabilidad en Intuit
    • Desarrollador de front-end de Meta
    • Certificado profesional de DeepLearning.AI DeepLearning.AI desarrollador de TensorFlow
    • Certificado Profesional de Programador de SAS
    • Lanza tu carrera profesional
    • Prepárate para una certificación
    • Avanza en tu carrera
    • Cómo detectar errores de sintaxis en Python
    • Cómo descubrir excepciones en Python
    • Ver todos los tutoriales sobre programación

    Cursos y certificaciones populares

    • cursos gratuitos
    • Cursos en Inteligencia artificial
    • Cursos de Blockchain
    • Cursos de ciencias de la computación
    • Cursos gratis
    • Cursos de seguridad cibernética
    • Cursos de análisis de datos
    • Cursos de análisis de datos
    • Cursos de inglés oral
    • Cursos de desarrollo web de pila completa
    • Cursos de Google
    • Cursos de recursos humanos
    • Cursos de TI
    • Cursos de aprendizaje de inglés
    • Cursos de Microsoft Excel
    • Cursos de gestión de productos
    • Cursos de gestión de proyectos
    • Cursos de Python
    • Cursos de SQL
    • Certificaciones Agile
    • Certificados en Gestión de proyectos (CAPM)
    • Certificación CompTIA A+
    • Certificado de análisis de datos
    • Certificaciones de Scrum Master
    • Ver todos los cursos

    Colecciones y artículos populares

    • Cursos en línea gratis que puedes terminar en un día
    • Cursos gratuitos populares
    • Empleos en negocios
    • Empleos de seguridad cibernética
    • Trabajos de nivel principiante en TI
    • Preguntas de entrevista de análisis de datos
    • Proyectos de análisis de datos
    • Cómo convertirse en analista de datos
    • Cómo convertirse en gerente de proyectos
    • Habilidades de TI
    • Preguntas de entrevista de gerente de proyectos
    • Habilidades en programación Python
    • Puntos fuertes y débiles en la entrevista
    • Qué hace un analista de datos
    • Qué hace un ingeniero de software
    • Qué es un ingeniero de datos
    • Qué es un científico de datos
    • Qué es un diseñador de productos
    • Qué es un Scrum Master
    • Qué es un investigador de UX
    • Cómo obtener una certificación PMP
    • Certificaciones PMI
    • Certificaciones populares en Seguridad Cibernética
    • Certificaciones populares en SQL
    • Leer todos los artículos de Coursera

    Obtén un título de grado o un certificado en línea

    • Certificados profesionales de Google
    • Certificados profesionales
    • Ver todos los certificados
    • Licenciaturas
    • Maestrías
    • Títulos en ciencias informáticas
    • Títulos de grado en ciencias de los datos
    • MBA y títulos de grado en negocios
    • Títulos de grado en Análisis de datos
    • Títulos de grado en salud pública
    • Títulos de grado en Ciencias Sociales
    • Títulos de grado en administración
    • Programas con título de grado de licenciatura en Arte versus licenciatura en Ciencias
    • ¿Qué es una licenciatura?
    • Los 11 buenos hábitos de estudio para desarrollar
    • Cómo escribir una carta de recomendación
    • Los 10 empleos más demandados con un programa de grado en Negocios
    • ¿Vale la pena hacer una Maestría en Ciencias informáticas?
    • Ver todos los programas de grado
    • Coursera India
    • Coursera Reino Unido
    • Coursera México

    Coursera

    • Acerca de
    • Qué ofrecemos
    • Liderazgo
    • Carreras profesionales
    • Catálogo
    • Coursera Plus
    • Certificados profesionales
    • MasterTrack® Certificates
    • Título de grados
    • Para Empresas
    • Para gobiernos
    • Para el campus
    • Conviértete en socio
    • En respuesta al Coronavirus

    Comunidad

    • Estudiantes
    • Socios
    • Probadores beta
    • Traductores
    • Blog
    • Blog de Tecnología
    • Centro de enseñanza

    Más

    • Prensa
    • Inversores
    • Términos
    • Privacidad
    • Ayuda
    • Accesibilidad
    • Contacto
    • Artículos
    • Directorio
    • Afiliados
    • Declaración de Esclavitud Moderna
    Aprende en cualquier lado
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. Todos los derechos reservados.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder