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.
Этот курс входит в специализацию ''Специализация Data Visualization with Tableau'
от партнера
Специализация Data Visualization with TableauКалифорнийский университет в ДевисеОб этом курсе
Must be comfortable working with data and datasets.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаЧему вы научитесь
Create a chart using Tableau
Create dates using calculated fields
Customize table calculations
Customize and create dual layer maps
Приобретаемые навыки
- Visual Analytics
- Map
- Tableau Software
- Data Visualization (DataViz)
Must be comfortable working with data and datasets.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнеса
от партнера
Программа курса: что вы изучите
Getting Started and Charting
Dates
Table Calculations
Mapping
Рецензии
- 5 stars67,72 %
- 4 stars23,98 %
- 3 stars5,79 %
- 2 stars1,50 %
- 1 star0,98 %
Лучшие отзывы о курсе VISUAL ANALYTICS WITH TABLEAU
Assignments were just a mere replication of visuals. A good mix of self-created visualizations would be good for learners. There is too little information on the replication assignments as well.
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Learned a lot indeed.
I liked that academic content but wished it had references to technical content. But analytics is more than the mechanics of creating visualisations. Highly recommended.
So Far, This is a Very Good course design. However, if it is possible, more practice assignment will be much better for learning and improving the skill.
Специализация Data Visualization with Tableau: общие сведения
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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