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  3. Advanced Data Analysis and Collaboration with Qlik Sense

Advanced Data Analysis and Collaboration with Qlik Sense

This course is an advanced level course designed for learners who want to use Qlik Sense to perform sophisticated data analytics, build dashboards, and communicate full reports and stories from their data.

Henry Habib
Henry Habib
Data Science | core | 1 hour 30 minutes |   Published: Jan 2024
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
96%RECOMMEND*

This course includes:

  • 1.5 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

This course is an advanced level course designed for learners who want to use Qlik Sense to perform sophisticated data analytics, build dashboards, and communicate full reports and stories from their data. These advanced concepts include more than just visualization features such as dynamic filtering and conditional formatting, but more so data functionality such as advanced expressions, drilldowns, leads, lags, and more. This is important as these skills are directly required when creating sophisticated business analyses and dashboards.   This course demonstrates the advanced functionalities of Qlik Sense. The course starts with advanced data analysis techniques, including both strict analysis like calculated fields, set analysis, etc. It then goes through advanced visualization and dashboard functionality, like dynamic filters, drilldowns, lags, leads, and more. Finally, the course demonstrates how to collaborate with other people, through sharing, bookmarking, and embedding dashboards and reports.  "Advanced Data Analysis and Collaboration with Qlik Sense" is the third and final course in our series, building upon the foundations laid in "Data Ingestion, Exploration, and Visualization with Qlik Sense" and "Introduction to Data Visualization with Qlik Sense." Together, these courses provide a comprehensive skill set for leveraging Qlik Sense as a powerful tool for data analytics, empowering you to analyze data effectively, create impactful visualizations, and generate valuable insights for a wide range of business purposes, from performance tracking to decision-making and beyond.

Skills You Will Gain

Collaboration Tools
Data Analysis
Data Analytics
data and analytics strategy
Qlik Sense

Learning Outcomes (At the end of this program you will be able to)

  • Explore advanced data analysis techniques in Qlik Sense, such as set analysis, calculated fields, and advanced expressions.
  • Implement advanced visualization and data functions within dashboards, such as conditional formatting, meta-fields such as time lag and rolling sums, dynamic filters, drilldowns, and apply their use-cases.
  • Demonstrate collaboration features, such as creating and sharing bookmarks, stories, and reports.

Prerequisites

To excel in “Advanced Data Analysis and Collaboration with Qlik Sense,” learners should have a solid grasp of Qlik Sense, including basic data analysis concepts and intermediate-level data visualization skills. Proficiency in using Qlik Sense’s interface, creating fundamental visualizations, and working with data is essential. Additionally, learners should possess a foundational understanding of data analysis principles such as aggregations and filtering. Familiarity with basic scripting within Qlik Sense, including data loading and transformation, will be advantageous, as more advanced scripting techniques will be introduced.

Who Should Attend

This program is designed for anyone who is interested in mastering advanced data analytics and visualization concepts with Qlik Sense. These include data and business analysts who regularly analyze and communicate with data.

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

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Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1 – Data Analysis Techniques
2Module 2 – Visualization and Dashboard Functions  
3Module 3 – Collaboration Features
Henry Habib

Henry Habib

 

With a strong command of tools such as SQL, Python, Spark, and TensorFlow, Henry Habib has cultivated a deep passion for AI and Machine Learning applications. He holds a Bachelor of Accounting and Financial Management from the University of Waterloo, specializing in finance and economics—providing a robust foundation for delivering impactful, data-driven solutions in complex business environments.

At Oliver Wyman, he has progressed through roles from Consultant to Senior Consultant and Associate, and currently serves as an Engagement Manager. His professional experience spans across high-impact projects, including conducting analytics on fixed-income securities and interest rate swaps to ensure financial reporting accuracy. He also played a key role in enhancing audit efficiency by 25% for a medium-sized food manufacturing company through in-depth sales and cost analytics.

Beyond the professional sphere, his academic and extracurricular pursuits reflect a strong commitment to leadership and innovation. As Portfolio Manager for the University of Waterloo’s School of Accounting and Finance Student-Run Investment Fund, he managed a $250,000 equities portfolio with a focus on securities valuation and portfolio optimization. Additionally, in his role as Director at C3 Inspire, he led strategic partnerships and initiatives to promote innovation and support entrepreneurial ventures, demonstrating a consistent drive to create meaningful impact both in corporate and community contexts.

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Segment 05 - Complex controls

Segment 06 - Conditional Formatting

Segment 07 - Time lags, rolling sums, lags, leads

Segment 08 - Drill-down and roll-up

Segment 09 - Dynamic filters

Segment 01 - Introduction to the course and Meet your Instructor

Segment 02 - Crafting Calculated Fields in Qlik Sense

Segment 03 - Mastering Set Analysis and Expressions

Segment 04 - Navigating Geospatial Analysis in Qlik Sense

Segment 10 - Creating and sharing bookmarks, stories, and reports

Segment 11 - Sharing links and exporting, embedding