In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.
Ce cours fait partie de la Spécialisation Data Visualization with Tableau
Visual Analytics with Tableau
proposé par
À propos de ce cours
4.5
726 notes
Ce que vous allez apprendre
Create a chart using Tableau
Create dates using calculated fields
Customize table calculations
Customize and create dual layer maps
Compétences que vous acquerrez
Visual AnalyticsMapTableau SoftwareData Visualization (DataViz)
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
13 heures pour terminer
Getting Started and Charting
In this module, you will explore the topic of charting in Tableau. By now you should already be well versed in how to change colors, shapes, and sizes of charts, so we are going to practice and demonstrate that skill more. You will be able to explain what the Tableau Tooltip does and when to use it. You will be able to discuss the various guidelines for choosing the right chart for your data. You will also create a chart using Tableau.
10 vidéos (Total 57 min), 1 lecture, 2 quiz
10 vidéos
Introduction to Charting1 min
Tableau Charts19 min
Colors, Shapes, and Sizes4 min
Dual Line Charts3 min
Tableau Tooltip4 min
Charting Guidelines: Bar Charts, Line Graphs, Pie Charts6 min
Charting Guidelines: Maps, Scatter Plots, Gantt Charts, Bubble Charts4 min
Charting Guidelines: Histograms, Bullet Charts, Heat Maps and Highlight Tables4 min
Charting Guidelines: Treemaps and Box-and-Whisker Plots5 min
1 lecture
Save Workbooks to Tableau Public10 min
1 exercice pour s'entraîner
Module 1: Visual Analytics with Tableau - Charting18 min
Semaine
23 heures pour terminer
Dates
This module highlights the important topic of dates within Tableau. You will be able to differentiate between discrete and continuous dates and when to use each. You will be able to use date hierarchies and use the date field to better customize your charts. You will be able to convert between discrete and continuous dates and know when and why you want to switch from one to the other. You will create dates using calculated fields.
5 vidéos (Total 15 min), 2 quiz
5 vidéos
Discrete vs. Continuous Dates2 min
Date Hierarchies3 min
Converting Discrete and Continuous Dates2 min
Tableau Calculated Fields4 min
1 exercice pour s'entraîner
Module 2: Visual Analytics with Tableau - Dates24 min
Semaine
33 heures pour terminer
Table Calculations
In this module, you will focus on table calculations. You will be able to create new calculated fields to allow you to compare fields, apply aggregations, and more. You will be able use quick table calculations and create new calculated fields. You will be able to customize them and apply filters and parameters to your table calculations.
6 vidéos (Total 25 min), 2 quiz
6 vidéos
Calculated Fields5 min
Quick Table Calculations3 min
Custom Table Calculations2 min
Filters6 min
Parameters5 min
1 exercice pour s'entraîner
Module 3: Visual Analytics with Tableau - Table Calculations20 min
Semaine
43 heures pour terminer
Mapping
In this final module, we will go more in depths about maps within Tableau. You will be able to connect to a different data sources and customize your maps by changing colors, shapes, and sizes. You will be able to custom geocode a map and create Tableau maps with geographic data that is not recognized by Tableau. You will also be able to create dual layer maps and showcase how to overlay maps on top of one another.
7 vidéos (Total 17 min), 2 quiz
7 vidéos
Working with Geographic Data1 min
Shapes, Colors, and Sizes3 min
Custom Mapping Techniques3 min
Custom Geocoding3 min
Dual Layer Mapping3 min
Course Summary1 min
1 exercice pour s'entraîner
Module 4: Visual Analytics with Tableau - Mapping18 min
4.5
134 avis38%
a commencé une nouvelle carrière après avoir terminé ces cours
44%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
15%
a obtenu une augmentation de salaire ou une promotion
Meilleurs avis
Through this course learner can efficiently learn about dual layer maps, dual axis, creating calculated fields and many more. Thanks for such a great platform to learn and for great instructors.
Good intro to Tableau. The instructor is crystal clear. The case study is pretty good, it's very satisfactory to understand at the end what is wrong with this company.
Enseignant
Suk S. Brar, M.B.A.
Lead Business ConsultantBlue Shield of California
À propos de Université de Californie à Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
À propos de la Spécialisation Data Visualization with Tableau
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.
By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
Une aide financière est-elle possible ?
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
Coursera propose un accès universel à la meilleure formation au monde,
en partenariat avec des universités et des organisations du plus haut niveau, pour proposer des cours en ligne.
© 2019 Coursera Inc. Tous droits réservés.
