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Google Career Certificates

Il s’agit du sixième cours du Google Data Analytics Certificate.. Ces cours vous permettront d’acquérir les compétences dont vous avez besoin pour postuler les emplois d’analyste de données de niveau junior. Vous apprendrez à visualiser et à présenter vos résultats des données au fur et à mesure que vous terminez le processus d’analyse des données. Ce cours vous montrera comment les visualisations des données, telles que les tableaux de bord visuels, peuvent vous aider à donner vie à vos données. Vous examinerez également Tableau, une plateforme de visualisation des données qui vous aidera à créer des visualisations efficaces pour vos présentations. Des analystes de données actuellement chez Google vous instruiront et vous fourniront des moyens pratiques d’accomplir les tâches courantes des analystes de données, avec les meilleurs outils et ressources.

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Il s’agit du sixième cours du Google Data Analytics Certificate.. Ces cours vous permettront d’acquérir les compétences dont vous avez besoin pour postuler les emplois d’analyste de données de niveau junior. Vous apprendrez à visualiser et à présenter vos résultats des données au fur et à mesure que vous terminez le processus d’analyse des données. Ce cours vous montrera comment les visualisations des données, telles que les tableaux de bord visuels, peuvent vous aider à donner vie à vos données. Vous examinerez également Tableau, une plateforme de visualisation des données qui vous aidera à créer des visualisations efficaces pour vos présentations. Des analystes de données actuellement chez Google vous instruiront et vous fourniront des moyens pratiques d’accomplir les tâches courantes des analystes de données, avec les meilleurs outils et ressources.

Les participants qui terminent cette formation certifiante seront préparés à postuler à des emplois d’analyste de données de niveau junior. Aucune expérience préalable n’est nécessaire.

D’ici la fin de ce cours, vous :

- Examinerez l’importance de la visualisation des données.

- Apprendrez à former un récit convaincant à travers des histoires de données.

- Comprendrez comment utiliser Tableau pour créer des tableaux de bord et des filtres de tableau de bord.

- Découvrirez comment utiliser Tableau pour créer des visualisations efficaces.

- Découvrirez les principes et les pratiques impliqués dans des présentations efficaces.

- Apprendrez à tenir compte des limitations potentielles associées aux données de vos présentations.

- Comprendrez comment appliquer les meilleures pratiques à une séance de questions-réponses avec votre public.

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What's inside

Syllabus

Visualisation des données
La visualisation des données est la représentation graphique des données. Dans cette partie du cours, vous serez initiés à des concepts clés, notamment l'accessibilité, le design thinking et d'autres facteurs qui jouent un rôle dans la visualisation des données de votre analyse.
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Création de visualisations des données avec Tableau
Tableau est un outil qui peut aider les analystes de données à créer des visualisations des données efficaces. Dans cette partie du cours, vous apprendrez tout sur Tableau et découvrirez l'importance de la créativité et de la clarté en visualisant vos résultats d'analyse de données.
Créer des histoires de données
Relier votre objectif à vos données par le biais d'informations est essentiel pour une bonne narration des données. Dans cette partie du cours, vous découvrirez les histoires basées sur les données et leurs attributs. Vous apprendrez également à utiliser Tableau pour créer des tableaux de bord et des filtres de tableaux de bord.
Élaborer des présentations et des diaporamas
Dans cette partie du cours, vous découvrirez comment faire une présentation efficace de votre analyse de données. Vous tiendrez compte de tous les aspects de votre analyse lors de la création de la présentation, ainsi que de la façon de créer des visualisations des données claires, accessibles et convaincantes. Par ailleurs, vous apprendrez à anticiper et à répondre aux limites potentielles et aux questions qui peuvent être posées.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Convient aux analystes de données débutants souhaitant acquérir des compétences en visualisation de données
Enseigne l'utilisation de Tableau, un outil de pointe pour la visualisation de données
Développe des compétences en narration de données, essentielles pour présenter efficacement les résultats de l'analyse
Formé par des analystes de données de Google, offrant un aperçu pratique des techniques de l'industrie
Couvre les principes de visualisation de données, y compris l'accessibilité et le design thinking
Nécessite aucune expérience préalable, ce qui le rend accessible aux débutants

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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 Partager des données grâce à l'art de la visualisation with these activities:
Review the basics of Tableau
Refresh your understanding of Tableau's core concepts and functionality before starting the course.
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Show steps
  • Review online documentation or tutorials on Tableau basics
  • Complete practice exercises to reinforce your understanding
  • Create a simple Tableau visualization using sample data
Prerequisites
Tableau is a key tool used throughout this course. By completing this refresher, you will be better prepared to succeed throughout.
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Show steps
  • Review how to use Tableau to create visualizations
  • Practice creating different types of visualizations in Tableau
  • Review how to use Tableau to create dashboards
Compile a resource guide on data visualization
Create a comprehensive resource guide to support your learning throughout the course and beyond.
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Show steps
  • Gather materials from various sources, such as books, articles, and online resources
  • Organize the materials into categories or topics
  • Summarize and annotate the key points from each resource
  • Create a structured and accessible resource guide
11 other activities
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Tableau Study Group
Studying with a group of peers can help improve your understanding of the material and provide you with support.
Show steps
  • Find a group of peers who are also taking the course
  • Meet regularly to discuss the material
  • Work together on projects and assignments
Tableau Exercises
By completing a series of exercises, you will be able to practice using Tableau and become more proficient with the software.
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Show steps
  • Find a set of Tableau exercises online
  • Complete the exercises, making sure to follow the instructions carefully
  • Check your answers against the provided solutions
Attend a Tableau workshop to enhance your skills
Gain hands-on experience and learn from experts by attending a Tableau workshop tailored to your skill level.
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Show steps
  • Find a Tableau workshop that meets your learning needs
  • Register for the workshop and prepare any necessary materials
  • Attend the workshop and actively participate in the exercises
  • Apply the skills and knowledge gained in the workshop to your own data analysis projects
Create a Data Visualization Portfolio
Creating a portfolio of data visualizations will provide you with an excellent way to showcase your learning and experiment with Tableau.
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Show steps
  • Choose a topic that you are interested in
  • Gather data from a variety of sources
  • Create a variety of visualizations using Tableau
Join a study group to discuss Tableau and data visualization
Collaborate with other students to explore Tableau features, share insights, and refine your data visualization skills.
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Show steps
  • Find or create a study group with other students in the course
  • Meet regularly to discuss Tableau and data visualization concepts
  • Share your Tableau visualizations and provide feedback to others
Start a data analysis project that utilizes Tableau
Apply your Tableau skills to a practical data analysis project to strengthen your understanding of the entire data analysis process.
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Show steps
  • Define the problem you want to solve with your data analysis
  • Gather and clean your data
  • Analyze your data using Tableau
  • Create data visualizations to present your findings
  • Write a report summarizing your analysis and insights
Tableau Contest
Participating in a Tableau contest will allow you to test your skills against other Tableau users and gain recognition for your work.
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Show steps
  • Find a Tableau contest that you are interested in
  • Register for the contest
  • Create a data visualization for the contest
Tableau Dashboard
Creating a Tableau dashboard will allow you to practice your skills and create a valuable tool for visualizing data.
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Show steps
  • Choose a dataset that you are interested in
  • Create a Tableau dashboard that visualizes the data
  • Share your dashboard with others
Create a Tableau visualization of your data analysis project
Develop your Tableau skills and reinforce your understanding of data visualization principles by creating a visual representation of your data analysis project.
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Show steps
  • Gather your data and prepare it for visualization
  • Choose the appropriate chart type for your data
  • Customize your visualization with colors, labels, and other elements
  • Export your visualization to share with others
Write a blog post or article about a data visualization best practice
Solidify your understanding of data visualization by identifying, explaining, and sharing a best practice in the field.
Browse courses on Data Visualization
Show steps
  • Identify a data visualization best practice
  • Research and gather supporting evidence
  • Write a clear and concise blog post or article
  • Share your post or article with the broader data visualization community
Participate in a Tableau data visualization competition
Challenge yourself and showcase your Tableau skills by participating in a data visualization competition.
Browse courses on Tableau
Show steps
  • Find a Tableau data visualization competition that aligns with your interests
  • Gather and prepare your data for the competition
  • Create a Tableau visualization that effectively communicates your insights
  • Submit your visualization to the competition

Career center

Learners who complete Partager des données grâce à l'art de la visualisation will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts play a crucial role in transforming raw data into actionable insights. This course, 'Sharing Insights through the Art of Visualization,' aligns perfectly with this profession. By learning to visualize data effectively, you'll become proficient in presenting complex information in a clear and compelling manner, which is essential for Data Analysts.
Data Scientist
Data Scientists leverage data to solve complex problems and drive decision-making. This course provides a solid foundation for aspiring Data Scientists by teaching them how to visualize and present data in a meaningful way. The skills gained in creating interactive dashboards and compelling data stories are highly sought after in this field.
Business Analyst
Business Analysts bridge the gap between business stakeholders and technical teams. This course directly supports Business Analysts by teaching them how to effectively communicate data-driven insights through visualizations. By learning to present complex information in a visually appealing and easy-to-understand format, they can effectively drive business decisions.
Data Visualization Specialist
Data Visualization Specialists focus on creating visually engaging and informative data visualizations. This course provides the foundation necessary for this role by teaching the principles of effective data visualization and the use of Tableau, an industry-leading data visualization tool. By completing this course, you'll enhance your ability to transform raw data into compelling visual stories.
Market Research Analyst
Market Research Analysts collect and analyze market data to identify trends and opportunities. This course can be valuable for Market Research Analysts by providing them with the skills to effectively present and communicate their research findings. By learning to create visually appealing dashboards and data stories, they can effectively convey insights to stakeholders and drive informed decision-making.
Financial Analyst
Financial Analysts provide insights into financial data to support investment decisions. This course may be helpful for aspiring Financial Analysts by teaching them how to visualize complex financial information in a clear and concise manner. By learning to create interactive dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to investors and stakeholders.
Management Consultant
Management Consultants provide advice to organizations on how to improve their performance. This course can be useful for Management Consultants by teaching them how to effectively present data-driven insights to clients. By learning to create visual dashboards and compelling data stories, they can effectively convey their analysis and recommendations to senior executives and decision-makers.
User Experience (UX) Designer
UX Designers focus on improving the user experience of products and services. This course may be helpful for UX Designers by teaching them how to visualize and present user research data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their insights and recommendations to stakeholders and drive informed design decisions.
Product Manager
Product Managers oversee the development and launch of new products. This course may be helpful for aspiring Product Managers by teaching them how to visualize and present product data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed product decisions.
Marketing Manager
Marketing Managers develop and execute marketing campaigns. This course may be helpful for aspiring Marketing Managers by teaching them how to visualize and present marketing data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed marketing decisions.
Sales Manager
Sales Managers lead sales teams and develop sales strategies. This course may be helpful for aspiring Sales Managers by teaching them how to visualize and present sales data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed sales decisions.
Operations Manager
Operations Managers oversee the day-to-day operations of an organization. This course may be helpful for aspiring Operations Managers by teaching them how to visualize and present operational data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed operational decisions.
Project Manager
Project Managers plan and execute projects. This course may be helpful for aspiring Project Managers by teaching them how to visualize and present project data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed project decisions.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be helpful for aspiring Software Engineers by teaching them how to visualize and present technical data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed software development decisions.
Data Engineer
Data Engineers design, build, and maintain data pipelines and data infrastructure. This course may be helpful for aspiring Data Engineers by teaching them how to visualize and present data engineering data. By learning to create visual dashboards and compelling data stories, they can effectively communicate their analysis and recommendations to stakeholders and drive informed data engineering decisions.

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 Partager des données grâce à l'art de la visualisation.
This classic book on data visualization has been influential in the field for decades. It provides a detailed discussion of the principles of data visualization, with a focus on the effective use of charts and graphs.
Provides a comprehensive guide to Tableau Desktop, a popular data visualization software program. It covers the basics of data visualization, as well as more advanced techniques, such as creating interactive dashboards and maps.
Provides a comprehensive guide to data visualization using Python and JavaScript. It covers the basics of data visualization, as well as more advanced techniques, such as creating interactive visualizations and working with big data.
Provides a philosophical and historical perspective on data visualization. It discusses the role of data visualization in society and the importance of creating truthful and ethical visualizations.
Provides a practical guide to data science for business professionals. It covers the basics of data science, as well as more advanced topics, such as machine learning and predictive analytics.
Provides a comprehensive overview of deep learning, including the theory, algorithms, and applications of deep learning. It good choice for beginners who want to learn about the field of deep learning.
Provides a comprehensive overview of reinforcement learning, including the theory, algorithms, and applications of reinforcement learning. It good choice for beginners who want to learn about the field of reinforcement learning.
Provides a comprehensive overview of statistical learning, including the theory, algorithms, and applications of statistical learning. It good choice for beginners who want to learn about the field of statistical learning.

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