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Emmanuel Segui
Apprenez à créer des tableaux prêts pour la publication dans R pour des statistiques descriptives, des tableaux de contingence, des tableaux de corrélation, des tableaux récapitulatifs de modèles et des tableaux de probabilités de survie
Register for this course and see more details by visiting:
OpenCourser.com/course/q2j3y5/tables
What's inside
Syllabus
Présentation du projet
Dans ce cours d'une heure, basé sur un projet, vous apprendrez comment créer des tables prêtes pour la publication concernant les statisques descriptive, inférentielles et les statisques de survie.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Cible les étudiants en statistique et en sciences des données qui souhaitent améliorer leurs compétences en matière de présentation de données
Convient également aux chercheurs et aux professionnels qui ont besoin de créer des tableaux prêts pour la publication pour leurs articles et présentations
Fournit des exemples pratiques et des exercices pour renforcer la compréhension des concepts
Proposé par un instructeur expérimenté dans le domaine des statistiques et de la visualisation des données
Peut nécessiter des connaissances préalables en statistiques pour une compréhension optimale
Le cours est dispensé en français, ce qui peut constituer une barrière pour les étudiants non francophones
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Activities
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it. Supplement your coursework and achieve mastery of the topics covered
in Tables Statistiques Pour la Publication dans R with these
activities:
Lisez "Tables for Data Science" de Wickham et Grolemund
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Ce livre fournit une base solide pour la création de tableaux efficaces et prêts pour la publication.
View
R pour les data sciences
on Amazon
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-
Lisez les chapitres sur les principes de base de la création de tableaux.
-
Appliquez les techniques décrites dans le livre à vos propres projets.
Show all one activities
Lisez "Tables for Data Science" de Wickham et Grolemund
Show steps
Ce livre fournit une base solide pour la création de tableaux efficaces et prêts pour la publication.
View
R pour les data sciences
on Amazon
Show steps
Show steps
Show steps
- Lisez les chapitres sur les principes de base de la création de tableaux.
- Appliquez les techniques décrites dans le livre à vos propres projets.
Show all one activities
Career center
Learners who complete Tables Statistiques Pour la Publication dans R will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data to provide valuable insights and support decision-making. This course on Statistical Tables for Publication in R aligns perfectly with the role of a Statistician, as it equips learners with the skills to present statistical information in a clear and standardized manner. By understanding how to create publication-ready statistical tables, learners can effectively communicate their findings to a diverse audience, including researchers, policymakers, and the general public.
Data Scientist
Data Scientist
Data Scientists play a crucial role in analyzing data to extract meaningful insights and create data-driven solutions. This course on Statistical Tables for Publication in R provides foundational knowledge in creating professional-quality statistical tables, a key skill for Data Scientists to effectively communicate their findings. By mastering the techniques taught in this course, learners can enhance their ability to present statistical information clearly and concisely, which is essential for driving informed decision-making.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to solve problems in the medical and health sciences. This course on Statistical Tables for Publication in R provides a valuable introduction to statistical table creation, which is a key aspect of communicating research findings in the field of Biostatistics. By mastering the techniques taught in this course, learners can effectively present their statistical analyses and contribute to the advancement of medical knowledge.
Data Analyst
Data Analyst
Data Analysts gather, clean, and analyze data to uncover insights and inform decision-making. This course on Statistical Tables for Publication in R complements the role of a Data Analyst by providing the skills to create professional-quality statistical tables. By leveraging this knowledge, Data Analysts can effectively communicate complex statistical information to stakeholders, enabling them to make data-driven decisions with confidence.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of disease in populations. This course on Statistical Tables for Publication in R aligns well with the role of an Epidemiologist, as it provides a foundation in statistical table creation, a crucial skill for communicating research findings in the field of Epidemiology. By understanding how to present statistical information clearly and concisely, Epidemiologists can effectively inform public health policies and interventions aimed at improving population health.
Market Researcher
Market Researcher
Market Researchers conduct surveys and analyze data to understand market trends and consumer behavior. This course on Statistical Tables for Publication in R provides valuable knowledge in creating statistical tables, which are essential for presenting research findings to clients and stakeholders. By mastering the techniques taught in this course, Market Researchers can effectively communicate their insights and contribute to informed decision-making in the marketing and business world.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to assess risk and make investment decisions in the financial industry. This course on Statistical Tables for Publication in R provides a strong foundation in statistical concepts and table creation, which are essential skills for Quantitative Analysts. By gaining proficiency in presenting statistical information in a structured and professional manner, learners can effectively communicate their findings to clients and stakeholders, enhancing their credibility and decision-making process.
Actuary
Actuary
Actuaries assess and manage risk in the insurance and financial industries. This course on Statistical Tables for Publication in R provides a solid foundation in statistical concepts and table creation, which are essential skills for Actuaries. By gaining proficiency in presenting statistical information in a structured and professional manner, Actuaries can effectively communicate their findings to clients and stakeholders, enhancing their credibility and supporting informed decision-making in the risk management field.
Financial Analyst
Financial Analyst
Financial Analysts evaluate and make recommendations on investments. This course on Statistical Tables for Publication in R may be useful for Financial Analysts who need to understand the principles of statistical table creation. By gaining proficiency in presenting statistical information in a structured and professional manner, Financial Analysts can effectively communicate their findings to clients and stakeholders, enhancing their ability to support informed investment decisions.
Product Manager
Product Manager
Product Managers oversee the development and launch of new products. This course on Statistical Tables for Publication in R may be useful for Product Managers who need to understand the principles of statistical table creation. By gaining proficiency in presenting statistical information in a structured and professional manner, Product Managers can effectively communicate market research findings and product performance metrics to stakeholders, enhancing their ability to make data-driven decisions.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data infrastructure and systems. This course on Statistical Tables for Publication in R may be useful for Data Engineers who need to understand the principles of statistical table creation. By gaining proficiency in presenting statistical information in a structured and professional manner, Data Engineers can effectively communicate the technical aspects of their work to stakeholders, enhancing their ability to support data-driven decision-making.
Risk Manager
Risk Manager
Risk Managers assess and mitigate risks in organizations. This course on Statistical Tables for Publication in R may be useful for Risk Managers who need to understand the principles of statistical table creation. By gaining proficiency in presenting statistical information in a structured and professional manner, Risk Managers can effectively communicate their findings to stakeholders, enhancing their ability to implement effective risk management strategies.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course on Statistical Tables for Publication in R may be useful for Software Engineers who work on data-related projects. By understanding the principles of statistical table creation, Software Engineers can enhance their ability to design and implement user interfaces that effectively display and communicate statistical information.
Business Analyst
Business Analyst
Business Analysts identify and solve business problems. This course on Statistical Tables for Publication in R may be useful for Business Analysts who need to understand the principles of statistical table creation. By gaining proficiency in presenting statistical information in a structured and professional manner, Business Analysts can effectively communicate their findings to stakeholders, enhancing their ability to support data-driven decision-making.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve organizational efficiency. This course on Statistical Tables for Publication in R may be useful for Operations Research Analysts who need to understand the principles of statistical table creation. By gaining proficiency in presenting statistical information in a structured and professional manner, Operations Research Analysts can effectively communicate their findings to stakeholders, enhancing their ability to support data-driven decision-making.
For more career information including salaries, visit:
OpenCourser.com/course/q2j3y5/tables
Reading list
We've selected 13 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
Tables Statistiques Pour la Publication dans R.
Save
Ce livre enseigne les principes fondamentaux de la science des données à l'aide de R, y compris le nettoyage des données, l'exploration des données et la modélisation.
Save
Ce livre fournit une introduction complète à R, y compris la création de graphiques, la manipulation de données et les statistiques.
Ce livre enseigne les concepts fondamentaux de la programmation R pour la science des données.
Ce livre fournit un guide pratique sur l'analyse de données avec R, y compris la manipulation de données, la visualisation et les statistiques.
Save
Ce livre fournit des instructions étape par étape sur la création de tableaux statistiques dans Excel.
Ce livre fournit un guide pratique sur l'utilisation de R pour la science des données, y compris la manipulation de données, l'analyse statistique et la visualisation.
Ce livre fournit une introduction à la programmation R, y compris la gestion des données, la manipulation de données et la visualisation.
Ce livre enseigne les techniques de manipulation de données dans R, y compris la fusion, la jointure et la transformation de données.
Ce livre fournit une introduction aux statistiques modernes pour les biologistes, y compris les tests d'hypothèses, la régression et l'analyse de données multivariées.
Ce livre fournit une introduction aux statistiques pour les sciences sociales, y compris les tests d'hypothèses, la régression et l'analyse de données multivariées.
Save
Ce livre fournit des recettes pour créer une variété de graphiques dans R, y compris des graphiques à barres, des graphiques à secteurs et des nuages de points.
Ce livre fournit une introduction aux méthodes statistiques pour la psychologie, y compris les tests d'hypothèses, la régression et l'analyse de données multivariées.
Ce livre fournit une introduction générale aux statistiques, y compris les concepts fondamentaux, les tests d'hypothèses et la régression.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q2j3y5/tables
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Effort
1 heure
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Emmanuel Segui
Language
Français
Good to know
Cible les étudiants en statistique et en sciences des données qui souhaitent améliorer leurs compétences en matière de présentation de données
Convient également aux chercheurs et aux professionnels qui ont besoin de créer des tableaux prêts pour la publication pour leurs articles et présentations
Fournit des exemples pratiques et des exercices pour renforcer la compréhension des concepts
Proposé par un instructeur expérimenté dans le domaine des statistiques et de la visualisation des données
Peut nécessiter des connaissances préalables en statistiques pour une compréhension optimale
Le cours est dispensé en français, ce qui peut constituer une barrière pour les étudiants non francophones
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