This course will take you through the various parts of analytical dashboarding: from best practices for designing a dashboard, creating a unified analytical environment, to deploying and publishing visualizations. We will briefly discuss the advanced visualization techniques and you will develop an information layout of the biggest gainers and losers in the financial markets and compare those movements to the economic data as your capstone project.
Ce cours fait partie de la Spécialisation Use Tableau for Your Data Science Workflow
Offert par
Spécialisation Use Tableau for Your Data Science WorkflowUniversité de Californie à IrvineÀ propos de ce cours
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 3 dans le
Approx. 9 heures pour terminer
Anglais
Sous-titres : Anglais
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 3 dans le
Approx. 9 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université de Californie à Irvine
Since 1965, the University of California, Irvine has combined the strengths of a major research university with the bounty of an incomparable Southern California location. UCI’s unyielding commitment to rigorous academics, cutting-edge research, and leadership and character development makes the campus a driving force for innovation and discovery that serves our local, national and global communities in many ways.
Programme du cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
From Data to Visual Understanding
Now that you know the primary visualization methods and how to address the action and interaction patterns necessary for visual analytics, it’s time to put it all together. What are the principles of good dashboard design and how do you determine the most effective dashboard to communicate your story? In this module, we’ll take a look at the considerations and processes for creating an analytical dashboard.
2 heures pour terminer
1 vidéo (Total 3 min), 4 lectures, 1 quiz
2 heures pour terminer
Analytical Dashboarding
After the target audience, objectives, and principles have been clearly defined, creating the dashboard itself is less of a technical exercise and more of a design challenge. This module brings all these elements together into a unified analytical environment. You’ll begin to put everything together in Tableau and design your dashboard.
2 heures pour terminer
2 vidéos (Total 10 min), 2 lectures, 1 quiz
2 heures pour terminer
Deploying and Publishing
In the past, deploying and publishing visual analytics was challenging for many organizations. The underlying data management and engineering pipelines were much less capable than today’s backend systems. In this module, we’ll investigate what to do as new analytical platforms enter the market and mature over time, how to stand out as a data visualization expert, and discuss considerations for creating custom visualizations.
2 heures pour terminer
2 vidéos (Total 11 min), 3 lectures, 1 quiz
3 heures pour terminer
Going Beyond
Consider what you’ve learned so far in this specialization. How might you use geospatial analysis or network analysis in your data science workflow? In addition, how might you design visuals to explain how data has changed over time? In this module, we’ll briefly discuss advanced features that can be used to answer these questions in Tableau. As you reflect on the course content, you will also finalize your capstone project, making use of storytelling principles and best practices for focusing and decluttering, and develop an information layout.
3 heures pour terminer
2 vidéos (Total 7 min), 4 lectures, 2 quiz
À propos du Spécialisation Use Tableau for Your Data Science Workflow
This specialization covers the foundations of visualization in the context of the data science workflow. Through the application of interactive visual analytics, students will learn how to extract structure from historical data and present key points through graphical storytelling. Additional topics include data manipulation, visualization foundations, audience identification, ethical considerations, dashboard creation, and report generation. Demonstrations of the basic visualization techniques used in Tableau will be included with a hands-on project.
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