Preface
Qlik Sense is powerful and creative visual analytics software which allows users in discovering data, exploring the data, and digging out the meaningful insights in order to take profit making decisions for your business. This course begins with introducing you to features and functions of the most modern edition of Qlik Sense to build grip with the Qlik Sense application. The course will teach how you can administer the data architecture in Qlik Sense, thereby enabling you to customize your own Qlik Sense application for your business intelligence needs. The course also contains numerous recipes in order to overcome challenging situations while creating fully featured desktop applications in Qlik Sense. The course also explains how to combine Rattle and Qlik Sense Desktop for applying predictive analytics to their data for developing real-world interactive data applications.
On completion of this course, you would be self-sufficient to improve your data analysis and how you can apply predictive analytics to your datasets. Through this course, you would be able to create predictive models and data application allowing you to explore your data insights much deeper.
What this learning path covers
Module 1, Learning Qlik Sense: The Official Guide Second Edition, in this module, you will learn about Qlik Sense, Qlik's self-service visualization platform. Our aim is to help you get more from your data by applying Qlik Sense and its unique capabilities to your analytic needs. At the beginning of this module, we'll cover why Qlik chose to develop Qlik Sense, what data discovery is and can do, and the strategy and vision behind the product. Later, we'll address practical considerations, including the Qlik Sense application's life cycle, how to meet the needs of different types of users, how to develop and administer engaging Qlik Sense applications, data modeling and getting the most out of the QIX engine. The module concludes by outlining a series of example applications built using Qlik Sense, to address analysis needs in sales management, HR, T&E management, and demographics.
Module 2, Qlik Sense Cookbook, this module uncovers all the wonderful features of Qlik Sense product. It will help you to overcome the challenges faced in day to day Qlik Sense implementations. The solutions are discussed through simple and easy to understand recipes.
Module 3, Predictive Analytics using Rattle and Qlik Sense, the objective of this module is to introduce you to predictive analytics and data visualization by developing some example applications. We'll use R and Rattle to create the predictive model and Qlik Sense to create a data application that allows business users to explore their data. We use Rattle and Qlik Sense to avoid learning programming and focus on predictive analytics and data visualizations concepts.
What you need for this learning path
Module 1:
You will need a copy of Qlik Sense Desktop, which is available for free at http://www.qlik.com/us/explore/products/sense/desktop. After that, you just need some time and a good comfortable chair. Additionally, the sample application's examples and many others are available for you to explore live on http://sense-demo.qlik.com/. Please bookmark this link as additional demonstrations and examples are constantly being added and updated.
Module 2:
The user needs to install Qlik Sense Desktop version 2.1.1, which can be downloaded for free from: http://www.qlik.com/try-or-buy/download-qlik-sense. The user also needs to install Qlik Sense Server version 2.1.1 for the recipe titled Publishing a Qlik Sense application on Qlik Sense Server, given in Chapter 4, Managing Apps and User Interface. The Qlik Sense Server installer file can be obtained from: http://www.qlik.com.
One needs to login using the customer account credentials to get access to the files under Support | Customer Downloads. You also need to install the SAP connector for the recipe titled Extracting Data from custom Databases from Chapter 1, Getting Started with the Data. In order to work with the SAP connector, you will need to obtain a license from Qlik. A part of this recipe also makes use of QlikView which can be downloaded for free from: http://www.qlik.com/try-or-buy/download-qlikview.
Module 3:
To install our learning environment and complete the examples, you need a 64-bit computer:
- OS: Windows 7, Windows 8, or 8.1
- Processor: Intel Core2 Duo or higher
- Memory: 4 GB or more
- .NET Framework: 4.0
- Security: Local admin privileges to install R, Rattle, and Qlik Sense.
Who this learning path is for
This course is for anyone who wishes to understand and utilize the various new approaches to business intelligence actively in their business practice. Basics of business intelligence concepts will be helpful when picking up this course, but not mandatory.
Reader feedback
Feedback from our readers is always welcome. Let us know what you think about this course—what you liked or disliked. Reader feedback is important for us as it helps us develop titles that you will really get the most out of.
To send us general feedback, simply e-mail <feedback@packtpub.com>, and mention the course's title in the subject of your message.
If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, see our author guide at www.packtpub.com/authors.
Customer support
Now that you are the proud owner of a Packt course, we have a number of things to help you to get the most from your purchase.
Downloading the example code
You can download the example code files for this course from your account at http://www.packtpub.com. If you purchased this course elsewhere, you can visit http://www.packtpub.com/support and register to have the files e-mailed directly to you.
You can download the code files by following these steps:
- Log in or register to our website using your e-mail address and password.
- Hover the mouse pointer on the SUPPORT tab at the top.
- Click on Code Downloads & Errata.
- Enter the name of the course in the Search box.
- Select the course for which you're looking to download the code files.
- Choose from the drop-down menu where you purchased this course from.
- Click on Code Download.
You can also download the code files by clicking on the Code Files button on the course's webpage at the Packt Publishing website. This page can be accessed by entering the course's name in the Search box. Please note that you need to be logged in to your Packt account.
Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:
- WinRAR / 7-Zip for Windows
- Zipeg / iZip / UnRarX for Mac
- 7-Zip / PeaZip for Linux
The code bundle for the course is also hosted on GitHub at https://github.com/PacktPublishing/Qlik-Sense-Advanced-Data-Visualization-for-your-Organization. We also have other code bundles from our rich catalog of books, videos, and courses available at https://github.com/PacktPublishing/. Check them out!
Errata
Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you find a mistake in one of our courses—maybe a mistake in the text or the code—we would be grateful if you could report this to us. By doing so, you can save other readers from frustration and help us improve subsequent versions of this course. If you find any errata, please report them by visiting http://www.packtpub.com/submit-errata, selecting your course, clicking on the Errata Submission Form link, and entering the details of your errata. Once your errata are verified, your submission will be accepted and the errata will be uploaded to our website or added to any list of existing errata under the Errata section of that title.
To view the previously submitted errata, go to https://www.packtpub.com/books/content/support and enter the name of the course in the search field. The required information will appear under the Errata section.
Piracy
Piracy of copyrighted material on the Internet is an ongoing problem across all media. At Packt, we take the protection of our copyright and licenses very seriously. If you come across any illegal copies of our works in any form on the Internet, please provide us with the location address or website name immediately so that we can pursue a remedy.
Please contact us at <copyright@packtpub.com> with a link to the suspected pirated material.
We appreciate your help in protecting our authors and our ability to bring you valuable content.
Questions
If you have a problem with any aspect of this course, you can contact us at <questions@packtpub.com>, and we will do our best to address the problem.