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Mastering Tableau 2018.1, second edition / [with] Siddharth Pawar.
- Format:
- Video
- Series:
- Academic Video Online
- Language:
- English
- Subjects (All):
- Tableau (Computer file).
- Information visualization.
- Visual analytics.
- Genre:
- Instructional films.
- Physical Description:
- 1 online resource (360 minutes)
- Other Title:
- Mastering Tableau 2018.1, second edition (v)
- Place of Publication:
- Birmingham, England : PACKT Publishing, 2018.
- Language Note:
- In English.
- System Details:
- video file
- Summary:
- Find new opportunities in your business that you have never seen before by learning advanced data analytics with Tableau. About This Video: Gain a practical understanding by working with new Tableau 2018.1 features such as dual axis mapping improvements, improved hierarchy filtering, visualization and tooltip improvements, step and jump lines, SQL Server spatial data, additional clustering functionality, and analytical object guidance. Create tables and charts, annotate and format charts, and map geographic data and dashboards to analyze results. Build visualizations that go beyond the default styles by leveraging advanced features and processing your data. In Detail: Tableau has brought the world of visual analytics within the reach of many nonplussed by Excel charts and graphs. But after acquiring the basic skills, there is a learning curve that gets in the way of using Tableau to its full potential. This course will give you the tools to use Tableau to its fullest and make optimal business decisions with rich analytics. If you want to be more feature-ready to use Tableau and perform effective data visualizations and analysis, then this course is for you. After taking this course, you will be confident enough to use advanced Tableau features and other tools. You will develop the skills to perform in-depth analyses for effective business decision making. Your skills will no longer be at an intermediate level; you will now be a master of data analysis using Tableau. You will be able to connect to data sources; summarize data; and create, manipulate, and share data visualizations including highlight tables, charts, scatter-plots, histograms, maps, dashboards, and more. By the end of this course, you will be able to build useful, thoughtful, and beautiful visualizations that will help you make databases and spreadsheets understandable to ordinary people.
- Participant:
- Presenter, Siddharth Pawar.
- Notes:
- Title from resource description page (viewed April 12, 2019).
- OCLC:
- 1101010413
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