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Tableau Strategies: Solving Real, Practical Problems with Data Analytics
77% of respondents would recommend this to a friend
€ 34
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If you want to increase Tableau's value to your organization, this practical book has your back
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- If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through strategies for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data. Staying competitive today requires the ability to quickly analyze and visualize data and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work. Use this book as a high-value on-the-job reference guide to TableauVisualize different data types and tackle specific data challengesCreate compelling data visualizations, dashboards, and data productsLearn how to generate industry-specific analyticsExplore categorical and quantitative analysis and comparisonsUnderstand geospatial, dynamic, statistical, and multivariate analysisCommunicate the value of the Tableau platform to your team and to stakeholders
| Publisher | O'Reilly Media |
| Publication date | September 28, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 575 pages |
| ISBN-10 | 149208008X |
| ISBN-13 | 978-1492080084 |
| Item Weight | 2 pounds (910 grams) |
| Dimensions | 7 x 1.25 x 9 inches (17.8 x 3.2 x 22.9 cm) |
Who Should Buy?
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Data Analysts
Ideal for data analysts seeking to enhance their skills in using Tableau for data visualization and analytics.
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Business Professionals
Great for business professionals needing practical strategies to utilize data analytics for informed decision-making.
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Students in Analytics
Useful for students studying data analytics or related fields who want to learn practical applications in real situations.
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Absolute Beginners
Not suitable for complete beginners without prior knowledge of data analytics or familiarity with Tableau software.
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Business Intelligence Tools Editorial Review
In this editorial review, we examine customer feedback regarding a Tableau book: The reception of this Tableau book seems to be mixed among customers. While some find it to be a great resource for Tableau Desktop users, others are disappointed with the lack of color in the visualizations. Customers have expressed frustration with the instructions provided in the book, stating that there are important steps missing, making it challenging to replicate the visualizations shown. One major complaint is that the physical copy received is in black and white, even though the online sample showed colored graphs and tables. This discrepancy has led to a diminished perceived value of the book, particularly since the content heavily focuses on graphing and visualizations. Despite these drawbacks, some customers appreciate the tips and tricks provided in the book, especially for beginners and intermediate users of Tableau. The emphasis on calculated fields is highlighted as particularly helpful for those creating and maintaining dashboards. Overall, while the book may offer useful content for Tableau users, the discrepancies in visual presentation and instructions have left some customers feeling disappointed and in some cases, Considering returning the book. **
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Pros
- Useful for Tableau Desktop users
- Includes tips and tricks for beginners and intermediate users
- Good resource for creating and maintaining dashboards
- Helpful content on calculated fields
Cons
- Lack of color in visualizations
Product Price History
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Features & Benefits
- Strategies for solving real-world analytics problems using Tableau
- Guide for building compelling and purposeful visualizations, dashboards, and data products
- Every chapter contains the why behind the solution and the technical knowledge you need to make it work
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