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Office ProductivityOther Office ProductivityQlik Sense

QlikSense Data Visualization & Analytics for Beginners

Learn to build apps in QlikSense. A step-by-step course for beginners with exercises and certificate of completion.
Rating: 4.0 out of 54.0 (234 ratings)
796 students
Created by Lorenz DS
Last updated 11/2018
English
English

What you'll learn

  • Understand the components and main functionality of QlikSense.
  • Load data from different sources (ODBC, Web files, Salesforce etc.) to your QlikSense application.
  • Manage data within your QlikSense Application
  • Build applications within QlikSense Desktop
  • Build visualizations within your QlikSense application.
  • Data Storytelling and sharing insights.
  • Deploying your application to the QlikSense Cloud.

Requirements

  • Basic knowledge of Business Intelligence and Visualization.
  • Some experience with Visualization tools would be helpful, but not required.

Description

Learn the essentials of QlikSense through this step-by-step tutorial. This course takes you through the basics of QlikSense, how to integrate your application with different data sources, manage data, build visualizations and sheets and share your insights with visual Data Stories!

..Learn to build a QlikSense App from scratch!

..Learn some of the most common mistakes made when building building sheets and visualizations..

..Forget about reports and presentations, learn more about Data Storytelling

The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer. Each module also ends with a short quiz and there is a final quiz at the end of the course.

After completion of this course, you will receive a certificate of completion.

Good luck and hope you enjoy the course.

Pre-requisites:

  • Basic knowledge of Business Intelligence and Visualization.

  • Some experience with Visualization tools would be helpful, but not required.

Course content:

The course consists of the following modules:

  • Introduction, Installation and Setup

  • Data Loading - Basic Concepts (Data Load Editor, Data Manager, Data Model Viewer)

  • Data Loading - Exercise 1-2

  • Sheet Visualizations - Visualizations

  • Sheet Visualizations - Expressions and variables

  • Sheet Visualizations - Best practices sheet design

  • Sheet Visualizations - Exercise 1-10

  • Data Storytelling - Presenting Insights

  • Data Storytelling - Publishing

  • Data Storytelling - Exercise 1-2

  • Final Quiz

Who should follow this course?

  • Students that want to learn the basics of QlikSense

  • Business Analysts and Designers who are already familiar with other visualization tools and want to learn QlikSense.

  • Managers considering using QlikSense within their organization.


Who this course is for:

  • Students that want to learn the basics of QlikSense
  • Business Analysts and Designers who are already familiar with other visualization tools and want to learn QlikSense.
  • Managers considering using QlikSense within their organization.
  • Anyone who has used QlikView before and considers using QlikSense.

Instructor

Lorenz DS
BI Consultant | Data Engineer
Lorenz DS
  • 4.2 Instructor Rating
  • 4,461 Reviews
  • 17,692 Students
  • 5 Courses

Hi there!

Hi there. My name is Lorenz, I am a BI consultant with several years of experience working as a developer, system engineer and functional analyst, mainly in the Business Intelligence domain.

Working experience:

I have worked for clients within the Energy and Financial sector, and have been involved in the roll-out of Business Intelligence and Data Warehouse projects and the implementation of BI solutions.

As an instructor, I want to share my knowledge and experience in BI and Data Visualization software. During these courses, I will explain the basic concepts, but also tips and tricks for creating Visualizations and Reports that best suit your purpose or the purpose of your end-user.

Course topics:

- Business Intelligence and Reporting (SAP Business Objects, Jasperreports)

- Extract, Transform, Load (ETL) and Automation

- Data Visualization (Qliksense, Microstrategy, Spotfire)

- Databases (Oracle, PostgreSQL)

- Data Quality

- Python, Bash/Shell scripting

Course approach: Practice!

On average each course consists of 4-8 modules. Each of the courses contain exercises at the end of the module, which allow you to practice. The courses heavily focus on exercises and practicing.

If you would like to learn about one of these topics, please check out the available courses.

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