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DataViz - Grammaire des Graphiques avec Python

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

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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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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 DataViz - Grammaire des Graphiques avec Python with these activities:

Compilation de ressources sur Plotnine

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Permet de rassembler et d'organiser des ressources utiles sur Plotnine pour une utilisation future

Browse courses on Plotnine

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Rechercher des ressources en ligne sur Plotnine
Sélectionner les ressources les plus pertinentes et les plus utiles
Créer un document ou un dossier pour organiser les ressources

Review Python syntax and libraries

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Brush up on Python syntax and libraries to ensure a solid foundation for creating high-quality plots with Plotnine.

Browse courses on Python

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Review Python syntax basics (variables, data types, control flow)
Explore commonly used Python libraries for data manipulation and visualization

Tutoriels sur la bibliothèque Plotnine

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Approfondit la compréhension du paquet Plotnine et de ses fonctionnalités

Browse courses on Plotnine

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Suivre un tutoriel sur le site officiel de Plotnine
Explorer les exemples de code fournis dans la documentation
Essayer de reproduire les graphiques présentés dans les tutoriels

Two other activities

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Work through Plotnine tutorials

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Gain practical experience in using Plotnine through guided tutorials, solidifying the concepts and techniques covered in the course.

Browse courses on Plotnine

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Find comprehensive Plotnine tutorials online
Follow the tutorials step-by-step, creating various types of plots
Experiment with different Plotnine features to enhance visualization

Create a data visualization portfolio

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Showcase your proficiency in Plotnine by creating a portfolio of high-quality data visualizations, demonstrating your ability to communicate insights effectively.

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Gather a diverse dataset relevant to your interests
Use Plotnine to create a variety of visualizations (e.g., histograms, scatterplots, boxplots)
Write clear and concise captions explaining the insights derived from each visualization
Compile the visualizations into a polished portfolio

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.

See salaries and explore the career path for Data Visualization Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Research Scientist

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.

See salaries and explore the career path for User Experience Designer

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.

See salaries and explore the career path for Marketing Analyst

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Science Writer

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.

See salaries and explore the career path for Graphic designer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for Web Developer

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.

The Grammar of Graphics

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Ce livre est le texte fondateur sur la grammaire des graphiques, un langage formel pour décrire les graphiques. Il fournit une base théorique pour la visualisation de données et est une référence essentielle pour tous ceux qui s'intéressent à ce domaine.

(English) The Grammar of Graphics (Statistics and Computing)

Hardcover

$$$$

(English) The Grammar of Graphics (Statistics and Computing)...

Paperback Bunko

$$$$

(English) The Grammar of Graphics (Statistics and Computing)...

DataViz - Grammaire des Graphiques avec Python

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