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DataViz - Grammaire des Graphiques avec Python

ELINGUI Pascal Uriel

Dans ce projet guidé vous apprendrez à créer des graphiques de très hautes qualités à l’image de ceux que vous voyez dans des revues scientifiques et des magazines. Vous ferez cela en utilisant le paquet Python plotnine, qui implémente la "Grammaire des Graphiques" telle que édictée par Leland Wilkinson en 1999. Plotnine est l’équivalent du célèbre paquet R appelé ggplot.

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Dans ce projet guidé vous apprendrez à créer des graphiques de très hautes qualités à l’image de ceux que vous voyez dans des revues scientifiques et des magazines. Vous ferez cela en utilisant le paquet Python plotnine, qui implémente la "Grammaire des Graphiques" telle que édictée par Leland Wilkinson en 1999. Plotnine est l’équivalent du célèbre paquet R appelé ggplot.

Contrairement à matplotlib ou seaborn plotnine est très flexible et par une démarche logique vous permet de faire rapidement des jolis graphiques.

Savoir créer des graphiques scientifiquement est une qualité très importante à avoir pour tout professionnel des données, dans ce cours pour apprendre un outil extrêmement flexible et surtout des principes simples et pratiques.

Ce projet guidé estime que vous avez des bases en programmation en Python pour l'analyse des données.

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What's inside

Syllabus

Aperçu du projet
Dans ce projet guidé vous apprendrez à créer des graphiques de très hautes qualités à l’image de ceux que vous voyez dans des revues scientifiques et des magazines. Vous ferez cela en utilisant le paquet Python plotnine, qui implémente la "Grammaire des Graphiques" telle que édictée par Leland Wilkinson en 1999. Plotnine est l’équivalent du célèbre paquet R appelé ggplot.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Destiné aux professionnels des données ayant des bases en programmation Python pour l'analyse des données
Convient aux personnes souhaitant créer des graphiques de haute qualité pour des revues scientifiques et des magazines
Se base sur la "Grammaire des Graphiques" de Leland Wilkinson

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Career center

Learners who complete DataViz - Grammaire des Graphiques avec Python will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
A Data Visualization Engineer designs and develops data visualization solutions to help organizations understand and communicate data more effectively. This course would be highly beneficial for Data Visualization Engineers as it provides a deep understanding of the principles and practices of data visualization. By gaining expertise in data visualization, Data Visualization Engineers can create impactful visualizations that drive insights and inform decision-making.
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This course would be particularly helpful for aspiring Data Analysts as it provides a strong foundation in data visualization, which is essential for effectively communicating insights from data analysis. By learning how to create clear and concise visualizations, Data Analysts can better communicate their findings and help stakeholders make informed decisions.
Data Scientist
A Data Scientist uses scientific methods and techniques to extract knowledge and insights from data. This course would be helpful for aspiring Data Scientists as it provides a solid understanding of the principles and practices of data visualization, which is essential for effectively communicating findings to stakeholders. By gaining proficiency in data visualization, Data Scientists can increase the impact of their work and make more informed decisions.
Research Scientist
A Research Scientist conducts research and experiments to advance knowledge in a particular field. This course would be beneficial for aspiring Research Scientists as it provides a strong foundation in data visualization, which is essential for effectively communicating research findings. By learning how to create clear and concise visualizations, Research Scientists can better communicate their findings and contribute to the advancement of knowledge.
User Experience Designer
A User Experience Designer focuses on designing products and services that are easy and enjoyable to use. This course would be beneficial for UX Designers as it provides a strong foundation in data visualization, which is essential for understanding user behavior and preferences. By gaining proficiency in data visualization, UX Designers can make more informed decisions about the design of user interfaces and improve the overall user experience.
Marketing Analyst
A Marketing Analyst assesses market trends and customer behavior to help organizations develop and implement effective marketing strategies. This course would be helpful for Marketing Analysts as it provides a strong foundation in data visualization, which is essential for effectively communicating insights from market research and data analysis. By learning how to create clear and concise visualizations, Marketing Analysts can better communicate their findings and help organizations make informed decisions.
Financial Analyst
A Financial Analyst evaluates and interprets financial data to make investment recommendations and advise clients on financial matters. This course would be helpful for aspiring Financial Analysts as it provides a strong foundation in data visualization, which is essential for effectively communicating insights from financial data analysis. By learning how to create clear and concise visualizations, Financial Analysts can better communicate their findings and help clients make informed decisions.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze data and develop financial models. This course would be helpful for aspiring Quantitative Analysts as it provides a strong foundation in data visualization, which is essential for effectively communicating insights from data analysis. By learning how to create clear and concise visualizations, Quantitative Analysts can better communicate their findings and help stakeholders make informed decisions.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for providing insights from data to support business decisions. This course would be particularly beneficial for Business Intelligence Analysts as it provides a comprehensive understanding of data visualization techniques, which are essential for presenting data in a clear and actionable manner. By mastering data visualization, Business Intelligence Analysts can effectively communicate insights and drive informed decision-making within organizations.
Statistician
A Statistician collects, analyzes, interprets, and presents data to help organizations make informed decisions. This course would be beneficial for aspiring Statisticians as it provides a strong foundation in data visualization, which is essential for effectively communicating insights from data analysis. By learning how to create clear and concise visualizations, Statisticians can better communicate their findings and help stakeholders make informed decisions.
Science Writer
A Science Writer communicates scientific concepts and research findings to a wider audience. This course would be beneficial for aspiring Science Writers as it provides a strong foundation in data visualization, which is essential for effectively communicating scientific information in a clear and engaging manner. By learning how to create clear and concise visualizations, Science Writers can better communicate complex scientific concepts and make them accessible to a broader audience.
Graphic designer
A Graphic Designer creates visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. This course would be beneficial for Graphic Designers as it provides a strong foundation in data visualization principles, which are essential for creating visually appealing and effective designs. By understanding data visualization techniques, Graphic Designers can enhance the impact of their designs and better communicate their messages.
Product Manager
A Product Manager is responsible for the development and management of products, ensuring that they meet the needs of users and the goals of the organization. This course would be beneficial for Product Managers as it provides a strong foundation in data visualization, which is essential for understanding user behavior and preferences. By gaining proficiency in data visualization, Product Managers can make more informed decisions about product development and improve the overall user experience.
Information Architect
An Information Architect designs and organizes information systems to ensure that users can easily find and access the information they need. This course would be helpful for aspiring Information Architects as it provides a foundation in data visualization, which is essential for effectively presenting information in a clear and intuitive manner. By understanding data visualization principles, Information Architects can improve the user experience and make information more accessible.
Web Developer
A Web Developer designs and develops websites and web applications. This course would be helpful for Web Developers as it provides a solid understanding of data visualization techniques, which are becoming increasingly important in web development. By learning how to effectively visualize data, Web Developers can create more engaging and informative web experiences.

Reading list

We've selected 11 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 DataViz - Grammaire des Graphiques avec Python.
Ce livre est un guide pratique de ggplot2, le package R pour la visualisation de données. Il couvre tous les aspects de ggplot2, des bases aux sujets plus avancés tels que les graphiques interactifs et la cartographie.
Ce livre fournit une introduction pratique à R pour la science des données. Il couvre les bases de R, ainsi que des sujets plus avancés tels que la visualisation de données, l'apprentissage automatique et l'analyse statistique. Ce livre est un excellent choix pour les débutants en R pour la science des données.
Ce livre fournit une introduction pratique à la visualisation de données. Il couvre les bases de la visualisation de données, ainsi que des sujets plus avancés tels que la cartographie et les graphiques interactifs. Ce livre est un excellent choix pour les débutants en visualisation de données.
Ce livre fournit un guide complet de la visualisation de données interactives pour le Web. Il couvre les bases de la visualisation de données, ainsi que des sujets plus avancés tels que les graphiques interactifs et la cartographie.
Ce livre fournit un guide pratique de conception de tableaux de bord d'information. Il couvre les bases de la conception de tableaux de bord, ainsi que des sujets plus avancés tels que la visualisation de données et l'interaction des utilisateurs.
Ce livre est un guide de visualisation de données accessible et pratique. Il couvre les bases de la visualisation de données, ainsi que des sujets plus avancés tels que la cartographie et les graphiques interactifs. Ce livre est un excellent choix pour les débutants en visualisation de données.
Ce livre est un guide accessible et pratique de la visualisation de données. Il couvre les bases de la visualisation de données, ainsi que des sujets plus avancés tels que la cartographie et les graphiques interactifs.
Ce livre fournit un guide pratique de création de tableaux de bord et de rapports dans Microsoft Excel. Il couvre les bases de la création de tableaux de bord et de rapports, ainsi que des sujets plus avancés tels que la visualisation de données et l'interaction des utilisateurs.
Ce livre est un guide pratique de Power BI, un logiciel de visualisation de données populaire. Il couvre tous les aspects de Power BI, des bases aux sujets plus avancés tels que les graphiques interactifs et la cartographie.

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