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HollyJohnson
Employee
Employee

Last week the Qlik Academic Program ran an online session for the University of Liverpool for student studying a master’s in business analytics and big data.

Educator Iris Cagatay regularly invites us to run workshops with his students about Qlik and BI, but in this case, we gave a special lecture and demo session on Augmented Analytics. These students already had knowledge of Qlik Sense having used their Qlik Sense Business access through the Academic Program, after a session we gave them last year.

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After a brief refresh on Qlik and the basics of Qlik Sense, we moved on to give an overview of the ways in which some functionalities of Qlik Sense use augmented analytics. Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to support how people explore and analyze data.

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In Qlik Sense augmented analytics is used in features such as the Insight Adviser and Insight Adviser Chat, NL insights, associative insights, recommended association, forecasting, clustering, autoML and key driver analysis. Qlik Technical Trainer Piter Harb explained each of these use cases and then demo’ d them inside the software for the students, using a data set from one of our training courses.

After this section we moved on to how AutoML is used in Qlik Sense Enterprise, its different use cases within a business and how to create a data set that is ready for ML, before going on to demo the Automl outputs. Piter closed the session by highlighting a number of resources students can use to expand their understanding of AutoMl, we’ve included these below:

Useful Resources

 

As well as the above resources, the Qlik Academic Program provides free access to Qlik Sense Business Software and our full Qlik Continuous Classroom training to educators and students at degree issuing universities. To learn more go to qlik.com/academicprogram