Advanced Data Analysis and Collaboration in Qlik Sense (Coursera)

Advanced Data Analysis and Collaboration in Qlik Sense (Coursera)

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, drill-downs, leads, lags, and more. This is important as these skills are directly required when creating sophisticated business analyses and dashboards.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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, drill-downs, 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.
This program is designed for anyone 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.
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 are introduced.

What you'll learn

  • Explore advanced data analysis techniques in Qlik Sense, such as set analysis, calculated fields, and advanced expressions.
  • Utilize advanced dashboard features: conditional formatting, time lag, rolling sums, dynamic filters, and drilldowns, with practical applications.
  • Demonstrate collaboration features, such as creating and sharing bookmarks, stories, and reports

Syllabus

Advanced Data Analysis and Collaboration with Qlik Sense
This 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, and data functionality such as advanced expressions, drill-downs, leads, lags, and more. This is important as these skills are required when creating sophisticated business analyses and dashboards

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction.

Sep 14th 2026
5-12 Weeks
Infonomics II: Business Information Management and Measurement (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Sep 14th 2026
4 Weeks
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Sep 14th 2026
4 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Sep 14th 2026
4 Weeks
Data-Driven Decisions with Power BI (Coursera) Coursera
Knowledge Accelerators

Data-Driven Decisions with Power BI (Coursera)

New Power BI users will begin the course by gaining a conceptual understanding of the Power BI desktop application and the Power BI service. Learners will explore the Power BI interface while learning how to manage pages and understand the basics of visualizations. Learners will engage in numerous hands-on experiences to discover how to import, connect, clean, transform, and model their own data in the Power BI desktop application.

Sep 14th 2026
5-12 Weeks
Influencing, Collaboration and Decision Making (Coursera) Coursera
Starweaver

Influencing, Collaboration and Decision Making (Coursera)

This course explores strategies for influencing others, collaborating effectively, and making informed decisions. Students will learn how to build credibility, negotiate effectively, and analyze information to make sound judgments and decisions. The course covers techniques to foster a culture of trust and cooperation, resolve conflicts, and make consensus-based decisions. Through interactive exercises and case studies, students will develop their influencing and collaboration skills, enabling them to work effectively with stakeholders at different levels.

Sep 14th 2026
1 Week
Open Design (Coursera) Coursera
Duke University

Open Design (Coursera)

What is design? How is it a deeply human endeavor? How can we design better products, services, and experiences in our communities? If you’re interested in helping create a more equitable and accessible world, this Center for Computational Thinking module on Open Design is for you.

Sep 14th 2026
1 Week
Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera) Coursera
Coursera Instructor Network

Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera)

This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization.

Sep 14th 2026
1 Week
Fundamentos de Excel para Negocios (Coursera) Coursera
Universidad Austral

Fundamentos de Excel para Negocios (Coursera)

Cuando finalices este curso habrás logrado un gran número de habilidades como introducir información, ordenarla, manipularla, realizar cálculos de diversa índole (matemáticos, trigonométricos, estadísticos, financieros, ingenieriles, probabilísticos), extraer conclusiones, trabajar con fechas y horas, construir gráficos, imprimir reportes y muchas más.

Sep 14th 2026
5-12 Weeks
Reproducible Templates for Analysis and Dissemination (Coursera) Coursera
Emory University

Reproducible Templates for Analysis and Dissemination (Coursera)

This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications.

Sep 14th 2026
5-12 Weeks