1

Academic Program

Professor Toolkit The toolkit is intended to enable you to use all the resources available to you from the Academic

Program and to help you to integrate Qlik into your course.

NOTE: To access any of the resources listed in this toolkit, you must be logged into Qlik with your

username.

Contents

1. Software Installation ............................................................................................................................ 2

2. Demo Applications and Practice Data Files ......................................................................................... 2

3. Qlik Training ......................................................................................................................................... 3

4. Qlik Sense Qualifications...................................................................................................................... 5

5. Data Analytics Curriculum .................................................................................................................... 7

6. Data Literacy ......................................................................................................................................... 9

7. Example Syllabus ………………………………………………………………………………………………………………………10

8. Additional Teaching Resources .......................................................................................................... 10

2

Academic Program

1. Software Installation

To download Qlik Sense Desktop or access Qlik Sense Cloud, follow the instructions provided here.

2. Demo Applications and Practice Data Files

Demo applications

Qlik has many publicly available demos from a range of industries and use cases. These demos

provide great examples of how the software can be used and many of them are available for

download, so you can use them in your courses.

Data

a. The Qlik Continuous Classroom: The QCC contains interactive training videos for students to

follow to learn Qlik Sense. Many of the interactive videos have example data files that you

can download and use in your course.

b. Data Market: When creating a new app in Qlik Sense and adding data, you can access free

data from Qlik.

c. Public Data: There are also many public websites where you can access data files for free.

Qlik has put together a list here.

3

Academic Program

3. Qlik Training

The Academic Program training provided is offered through the Qlik Continuous Classroom, our self-paced learning platform. The program provides two training paths for you to learn Qlik Sense based on your course needs. These paths are called Qlik Sense Business Analyst and Qlik Sense Data Architect. In addition, the program also provides training for Qlik Sense Business User, QlikView, Data Literacy and more. Each training video is intended to be a hands-on experience. Each video comes with data so that the students can follow along with the instructor. Also provided are self-paced practice instructions, a takeaway document, and a quiz so students can test their comprehension of the content.

Example of course content:

The image below provides an example of the material available within each individual course.

Qlik Sense Business Analyst: Students will learn how to create powerful visualizations to explore information and gain critical insights for themselves or for other business users. This path is recommended for new users.

• Recommend Training - For a guided approach to learning, reference the Business Analyst Learning Plan. Qlik has done the work for you, just follow the paths from beginner to expert! The learning plan can be found here.

• A list of ALL Business Analyst training videos can be found here.

Qlik Sense Data Architect: Students will learn how to manage and consolidate data from different tables and sources to be integrated into apps - data modeling, functions, data loading and application structure. This path is more technical and is recommended for users who have completed the Business Analyst path.

4

Academic Program

• Recommended Training - For a guided approach to learning, you can reference the Data Architect Learning Plan. Qlik has done the work for you, just follow the paths from beginner to expert! The path can be found here.

• A list of ALL Data Architect training videos can be found here. 1. A list of ALL Data Architect training videos can be found here

These paths can also be found on the homepage of the Qlik Continuous Classroom Academic Program.

Additional Training In addition to the suggested training above, members of the program will receive access to the training below: Qlik Sense Business User:

• A list of ALL training can be found here QlikView Business Analyst:

• Recommended training can be found here

• A list of ALL training can be found here QlikView Data Architect:

• Recommend training can be found here

• A list of ALL training can be found here Data Literacy: All data literacy training can be found here (more details about Data Literacy and what we offer can be found in Section 6 of this document.) How Do I?: If you are looking for quick answers to specific questions or to get familiar with Qlik Sense in just a few minutes, visit our How Do I videos. Here are some we recommend getting started with: Create an app, Load data into a Cloud app, Create Visualizations, Create a data story. Webinars: You also have access to our calendar of webinars where our Qlik experts offer live presentations and Q&As on specific topics, from “Welcome to the Continuous Classroom” to various advanced skills with Qlik. If you miss the webinar, a recording will be emailed to you.

Teaching Suggestions • Use the learning paths to help you determine the most important training videos based on what

capabilities you want students to learn.

• Assign the training videos as homework on a daily or weekly basis.

• Watch the training videos as in class assignments and attempt the quizzes and self-paced practice together or ask the students to complete them individually and come to class prepared to discuss the material.

• A sample course syllabus including Qlik Continuous Classroom training is provided in Section 7 of this document.

5

Academic Program

4. Qlik Sense Qualifications

Today students need more than a degree to stand out in a sea of resumes. Help your students ensure they have the additional skills needed and the certificates to prove it. After learning skills in the Qlik Continuous Classroom, and applying those skills using Qlik products, students can test their knowledge to earn a Qlik Sense Qualification. The Academic Program offers two Qualification exams available to students which correspond with the available training. Passing exams (score of 70%+). Format

• Part one – build a Qlik Sense app based on a set of data files, starter app, business requirements and activities

• Part two – take the exam which tests the following abilities: recall capabilities, critical thinking and reasoning, and applied knowledge based on the Qlik Sense app you built.

Benefits

• Test your skills against an established set of competencies

• Earn an Academic Program Qlik Sense Qualification certificate and digital badge to share on your resume, LinkedIn, and other social sites

The exams along with the recommended exam training can be found on the homepage of the Qlik Continuous Classroom Academic Program

1. Business Analyst: Recommend for all users, the Qlik Sense Business Analyst Qualification measures your fundamental skills and applied knowledge. Tested skills include building Qlik Sense visualizations for data analysis, creating master items for business user consumption, incorporating new data from text/Excel files, and understanding how to use and build bookmarks, snapshots and stories for collaboration. It requires you to build a Qlik Sense application and complete a multiple-choice question exam. You will have 1 hour 15 minutes to complete this exam.

6

Academic Program

Below is an example of the recommended training for the Business Analyst exam:

2. Data Architects: Recommended for users who have attempted and passed the Business Analyst exam first. The Qlik Sense Data Architect Qualification measures your fundamental skills and applied knowledge. Tested skills include understanding data modeling concepts, generating, debugging and troubleshooting the load script, incorporating new data using external files and data sources, and creating master items for business user consumption. It requires you to build a Qlik Sense application and complete a multiple-choice question exam. You will have 1 hour 30 minutes to complete this exam.

Below is an example of the recommend training for the Data Architect exam:

Teaching Suggestions • Build the exams into your course by assigning them as a final project or for extra credit

*TIP* You can ask students to send their numeric score or a copy of their certificate for proof.

• A sample course syllabus including the Qlik Sense Qualification is provided in Section 7 of this document.

University Suggestions • Offer the exam as an elective (or additional credits that can be applied toward earning their

degree) in addition to the programs required classes.

• Offer the exam as extra points which can be put towards the students cumulative grade point average.

7

Academic Program

5. Data Analytics Curriculum

The Academic Program’s Data Analytics Curriculum focuses on the importance of teaching data analytics. Improving data analytics hones students’ decision-making skills. Students learn to ask the right questions of their data, interpret their findings and take informed action. NOTE: Some of the lessons in this curriculum reference Data Literacy, learn more about Data Literacy in Section 6 of this document!

Teaching Data Analytics The following Academic Program courses can be incorporated into your curriculum to help you teach data analytics. Both instructor-led and on-demand materials are available for flexible teaching and learning options. Each course contains lecture notes, on-demand videos, a use case, and activities. These courses are available on the homepage of the Qlik Continuous Classroom Academic Program

• Data Visualizations: This course examines the theory and concepts relating to the effective display of data and the psychology behind it, with a focus on data, visual encoding, and usage. Course information found here . Course materials available here

Below is an overview of the course content:

• Introduction to Data Analytics: This course introduces students to the fundamentals of data, charting the evolution to modern day analytics processes and data literacy. Course information found here. Course materials available here

8

Academic Program

Below is an overview of the course content:

• Advanced Topics in Data Analytics: This course expands upon the skills acquired in the Introduction to Data Analytics course. Students will gain knowledge in theories behind analytics methodologies, including: critical and analytical thinking, predictive modeling and theory, Bayesian statistics, and hypothesis testing. Course information found here. Course materials available here. Below is an overview of the course content:

Teaching Suggestions • Use the curriculum to help you teach data visualization or data analyics courses.

• Use the curriculum to help you introduce data visualization and data analytics into other subjects of study.

• Assign the course’s corresponding prerequisite QCC training videos as homework and add additional training videos as needed.

• A sample course syllabus including the Data Analytics Curriculum is provided in Section 7 of this document.

9

Academic Program

6. Data Literacy What is data literacy? Data literacy is the ability to read, work with, analyze and argue with data regardless of your role, skill level, or the BI tools you use. Today, data literacy is as important as reading and writing, but we're facing a major skills gap. That's why we’re on a mission to help people and organizations understand, analyze and use data with confidence. Let’s make this happen, together! NOTE: Some topics from data literacy are referenced in the Academic Program’s Data Analytics Curriculum however, they are not tied together. Below is a list of all data literacy offerings.

Training: All data literacy training can be found here Data Literacy Certification: The Data Literacy Certification Exam is a product-agnostic exam which measures your ability to interpret business requirements; understand and transform data; design, build, and interpret visualizations; and analyze, act on, and share results. Data Analytics Certification: The Data Analytics Certification Exam measures your analytic and statistics knowledge, from a basic to advanced level. The exam is product-agnostic and covers four categories of analytics: Data Foundations, Foundational Analytics, Interpretation of Analytics, and Advanced Analytics. Recommended for Data Analysts and Data Scientists. Access these certification exams here

Teaching Suggestions • Build the exams into your course by assigning them as a final project or for extra credit.

• Offer the exam as an elective in addition to the programs required classes.

• Offer the exam as extra points which can be put towards the students' final degree.

10

Academic Program

7. Example Syllabus The Academic Program has created 3 example syllabi based on teaching Data Visualizations and Analytics. Each syllabus incorporates multiple resources from the program. Access the example syllabi below:

• Data Visualization

• Introduction to Data Analytics

• Advanced Topics in Data Analytics

8. Additional Teaching Resources • Qlik Sense Getting Started Webinar: Students should register for the Getting Started Webinar

which is hosted every Tuesday. This is in EST time zone, if you cannot attend then a recorded session will be emailed to you. To registser go here

• QCC Webinars: To learn more about the Qlik Continous Classroom and additional Qlik topics

visit the QCC calendar to check out monthly webinars. To view the calendar and register go

here

• Tech Support Thursdays: Support Techspert Thursdays is a free webinar to facilitate knowledge

sharing held on a monthly basis. This is in EST time zone, if you cannot attend then a recorded

session will be emailed to you. Subscribe for monthly invites here

• QlikCommunity: Post questions, interact with thousands of Qlik users, and read blog posts in

QlikCommunity. We recommend New to Qlik Sense and the Qlik Academic Program

• Public Data: There are also many public websites you can access for free data files. Qlik has put

together a list here

• Need Help? For technical documentation, additional videos and more visit Qlik help

11

Academic Program

• Support Portal: For additional product support or to log a ticket about username or installation

help visit the support portal

• For general questions or comments about the Academic Program, send an email to

academicprogram@qlik.com or refer to your welcome email and reach out to your regional

representative directly.

© 2019 QlikTech International AB. All rights reserved. Qlik®, Qlik Sense®, QlikView®, QlikTech®, Qlik Cloud®, Qlik DataMarket®, Qlik Analytics Platform®, Qlik NPrinting®, Qlik Connectors®, Qlik GeoAnalytics® and the QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners.