Advanced Data Analysis and Collaboration in Qlik Sense from 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.

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.

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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.

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Explores sophisticated data analytics and visualization, enabling in-depth business analysis and dashboard creation

Accommodates advanced learners seeking to enhance their Qlik Sense skills for data-driven decision-making

Taught by instructors recognized for their expertise in data analytics and Qlik Sense

Develops advanced data analysis techniques, extending beyond basic visualizations into advanced expressions and drill-downs

Teaches collaboration skills, including sharing, bookmarking, and embedding dashboards and reports

Requires prior knowledge of basic data analysis concepts and intermediate-level data visualization skills in Qlik Sense

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Data Analysis and Collaboration in Qlik Sense with these activities:

Qlik Sensing

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Review the fundamentals of Qlik Sense to refresh your knowledge and strengthen your foundation before diving into advanced concepts.

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Review basic data analysis techniques in Qlik Sense, such as data loading, transformation, and aggregation.
Explore the interface and tools available in Qlik Sense for data visualization.
Create simple visualizations, such as charts and graphs, to represent data.

Curate a collection of resources on advanced Qlik Sense techniques

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Organize and maintain a collection of resources, such as articles, tutorials, and documentation, on advanced Qlik Sense techniques.

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Search for and identify relevant resources on advanced Qlik Sense techniques.
Organize the resources into a logical structure, such as a digital folder or a shared online repository.
Annotate or summarize the resources to provide additional context and insights.

Explore Advanced Qlik Sense Features

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Enhance your skills by exploring advanced features in Qlik Sense tutorials, such as dynamic filtering, conditional formatting, and advanced calculations.

Browse courses on Qlik Sense

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Identify real-world use cases where advanced features can enhance data analysis and visualization.
Follow guided tutorials to learn how to implement these features in your Qlik Sense applications.
Experiment with different advanced features to see their impact on data exploration and storytelling.

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Create Dashboards and Reports

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Practice creating interactive dashboards and reports to showcase your understanding of data storytelling and visual communication.

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Design a dashboard layout that effectively communicates key insights from your data.
Select and arrange relevant visualizations to support your narrative.
Create interactive features, such as filters and drill-downs, to enhance user engagement.
Export your dashboards and reports in various formats for sharing and presentation.

Collaborate on a Qlik Sense Project

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Join forces with other learners to work on a Qlik Sense project, share ideas, and enhance your collaborative skills.

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Form a team with other learners who share your interests and skill levels.
Identify a project topic that aligns with the course objectives and your team's strengths.
Divide responsibilities, collaborate on data analysis, visualization, and dashboard design.
Present your project findings and insights to the class or a broader audience.

Build a dashboard with advanced visualization techniques

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Enhance your dashboarding skills by creating a dashboard that incorporates advanced visualization techniques covered in the course.

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Identify a suitable dataset for your dashboard.
Design a layout for your dashboard, including the desired visualizations.
Implement advanced visualizations, such as dynamic filters, drill-downs, and lead/lag calculations.
Test and refine your dashboard to ensure it meets your requirements.

Contribute to the Qlik Sense Community

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Engage with the Qlik Sense community by contributing to open-source projects, sharing your expertise, and gaining valuable insights from others.

Browse courses on Qlik Sense

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Identify open-source projects related to Qlik Sense that align with your interests.
Contribute to these projects by reporting bugs, suggesting improvements, or providing code.
Participate in community discussions, forums, and events to share your knowledge and learn from others.

Create an Interactive Dashboard in Qlik Sense

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Demonstrate your understanding of Qlik Sense visualization capabilities by creating an interactive dashboard.

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Identify a dataset that you want to visualize
Create a new Qlik Sense app and load the dataset
Create a dashboard and add visualizations to it
Make the dashboard interactive by adding filters and actions
Share your dashboard with others

Develop a Qlik Sense Application

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Showcase your comprehensive understanding of Qlik Sense by building a fully functional application that addresses a real-world business problem.

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Identify a business problem or opportunity that can be addressed with data analysis and visualization.
Design and develop a Qlik Sense application that provides insights, supports decision-making, and solves the identified problem.
Deploy and present your application to stakeholders to demonstrate its value and impact.

Career center

Learners who complete Advanced Data Analysis and Collaboration in Qlik Sense will develop knowledge and skills that may be useful to these careers:

Business Analyst

A Business Analyst identifies business needs and determines solutions to business problems. This course can help someone become a Business Analyst as it covers advanced data analysis and visualization techniques, which are essential for understanding business problems and developing effective solutions.

See salaries and explore the career path for Business Analyst

Data Visualization Specialist

A Data Visualization Specialist creates visual representations of data to help people understand and communicate data insights. This course can help build a foundation for a career as a Data Visualization Specialist as it covers advanced data visualization and dashboard functionality, including dynamic filters, drill-downs, lags, leads, and more.

See salaries and explore the career path for Data Visualization Specialist

Data Analyst

A Data Analyst studies data by applying analytical and technical skills to extract meaningful insights. This course, Advanced Data Analysis and Collaboration in Qlik Sense, can help build a foundation for a career as a Data Analyst as it teaches advanced techniques including calculated fields, set analysis, dynamic filtering, and drill-downs.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful for aspiring Data Scientists as it teaches advanced data analysis techniques such as calculated fields, set analysis, and dynamic filtering.

See salaries and explore the career path for Data Scientist

Financial Analyst

A Financial Analyst evaluates and interprets financial data to make sound investment decisions. This course may be useful for aspiring Financial Analysts as it covers advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding financial data and making informed investment decisions.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

A Marketing Analyst collects, analyzes, and interprets marketing data to help businesses understand their customers and make informed marketing decisions. This course may be useful for aspiring Marketing Analysts as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding marketing data and developing effective marketing campaigns.

See salaries and explore the career path for Marketing Analyst

Risk Analyst

A Risk Analyst identifies, assesses, and mitigates risks within an organization. This course may be useful for aspiring Risk Analysts as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding risk factors and developing effective risk mitigation strategies.

See salaries and explore the career path for Risk Analyst

Product Manager

A Product Manager is responsible for the development and management of a product. This course may be useful for aspiring Product Managers as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding customer needs and developing successful products.

See salaries and explore the career path for Product Manager

Data Engineer

A Data Engineer designs, builds, deploys, and maintains the infrastructure and tools that enable the storage, processing, and analysis of data. This course may be useful for aspiring Data Engineers as it covers advanced data analysis techniques and data functionality such as advanced expressions and drill-downs.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze data and make predictions. This course may be useful for aspiring Quantitative Analysts as it teaches advanced data analysis techniques such as calculated fields and set analysis.

See salaries and explore the career path for Quantitative Analyst

Management Consultant

A Management Consultant helps organizations solve business problems and improve performance. This course may be useful for aspiring Management Consultants as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding business problems and developing effective solutions.

See salaries and explore the career path for Management Consultant

Actuary

An Actuary uses mathematical and statistical techniques to assess and manage risk. This course may be useful for aspiring Actuaries as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding risk factors and developing effective risk management strategies.

See salaries and explore the career path for Actuary

Operations Research Analyst

An Operations Research Analyst uses mathematical and analytical techniques to solve complex business problems. This course may be useful for aspiring Operations Research Analysts as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding business problems and developing effective solutions.

See salaries and explore the career path for Operations Research Analyst

Statistician

A Statistician collects, analyzes, and interprets data to provide insights and make predictions. This course may be useful for aspiring Statisticians as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding statistical data and making accurate predictions.

See salaries and explore the career path for Statistician

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course may be useful for aspiring Software Engineers as it teaches advanced data analysis techniques such as calculated fields and set analysis, which are essential for understanding software requirements and developing effective software solutions.

See salaries and explore the career path for Software Engineer

Advanced Data Analysis and Collaboration in Qlik Sense

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