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Paul Scotchford

Please note, some reading/information resources within the course use external links e.g. Qlik Sense Help content

Certificate in Qlik Sense Analytics Development (Fully updated October 2021)

Data Scientists, Data Analysts are big career topics today, but we still need an efficient and timely method to visualise what we have discovered in the morass of data within our enterprise. 

Read more

Please note, some reading/information resources within the course use external links e.g. Qlik Sense Help content

Certificate in Qlik Sense Analytics Development (Fully updated October 2021)

Data Scientists, Data Analysts are big career topics today, but we still need an efficient and timely method to visualise what we have discovered in the morass of data within our enterprise. 

Thankfully we have the Qlik suite of products to help us with this and my all time favourite is Qlik Sense, I liked it so much, I took a leave of absence for 3 months to develop this course (and it is continually updated to stay current). 

If you want a hands on approach to learning Qlik Sense and a certificate that showcases your technical skill then this is the best course for you.

Qlik Sense is the next generation of QlikView.

Qlik Sense is overtaking so many of it's peers because of it's underlying 'associative data model' technology and absolute ease of discovery for insightful decision making and story telling.

I am sure that once you have completed this course you will not want to revert to the old clunky ways of surfacing your analytics like you did with those products from the older monolithic vendors that will always impose their ways to suppress your work flow and creativity.

This course of study is designed to transition your skills into a deep understanding of Qlik Sense application development.

The skills that you learn in this course is 100% transferable to Qlik Sense Enterprise and Qlik Sense Cloud (SaaS).

Looking forward to seeing you in the course.

Paul

Data Analyst and Visualisation Engineer

Enroll now

What's inside

Learning objectives

  • Business intelligence & analytics development
  • Skills needed to become a data analytics & visualisation engineer
  • Identify kpi's,metrics and dimensions from your business requirements
  • Design and build data visualisations using key qlik sense features
  • Understand the associative data model and how to load data to it
  • Resolve data integrity and modelling issues like synth keys and circular references
  • Code expressions for metrics and dimensions, we learn set analysis coding too
  • Explore downloadable source code & data during your development work here

Syllabus

Learn about Master Items, Conditional expressions and more as you build up the Sales Performance sheet.

Understand the course objectives and the business story theme of a new start-up
Read more

Is this course for you ? if you watch the intro you can decide.

Business planning is key for our start-up to survive

Let's start to build a GP Analysis sheet and practice your conditional expressions to display interesting values on KPI objects.

How to ensure you have 1080p HD on your browser permanently for lecture viewing

How to download/install Qlik Sense - Software include in lecture

How to apply the Qlik Sense Desktop unlock file - Key included in lecture

What is SMART about metrics and KPIs ?

Where is everything and how do I get my sample apps and data ?

A quick tour of the QlikSense Hub, this is the nerve centre of your apps

All good with Qlik Sense location and navigation ?

A brief discussion about Dimensions and Measures as we use these throughout the course.

Adding value to the GP Analysis sheet by calculating variances etc, and more about Master Items.

A very quick look as to how to create your first App in QlikSense, yes its very easy.

This is your first experience to loading data into QlikSense.

With a brief overview of the data model and how tables are associated.

What is a pivot table, how to create one to review our loaded data.

Add some pertinant charting to the GP Analysis sheet with a scatter plot and treemap.

Explore combo and line charts, and learn about expression sorts.

Using the #1KPI object to display our budget targets.

Learn to create and use filters, filters are used during your journey of data discovery.

Review what we learned in Section 3, with a brief look at calculation expressions.

Please locate the resources button to download the materials you need for the lectures in this section.

Here I will explain the new data and the loading of it, with a review of the model.

Create a new sheet with filters and a pivot table to review our new Sales data.

Learn about table options and formatting.

Present the audience with more information and formatting on a pivot table.

In this series of lectures we will be using new data that spans 4 years for analysis

How to setup for using maps to visualize the global Sales performance, here we touch on the "Data load editor" to create a GeoKey.

Let's play with some mapping now that we have set up the model.

New data and section overview

The circular reference means something has gone very wrong with your model design ! How to recognise and fix this.

Synth keys can be good but sometimes we don't really want them in the model unless by design, lets talk about it here

Load and review our data, but how do we merge multiple year files together, here you will learn more about interacting with the "Data load editor" with some cool short cuts and optimisations for data loading.

Spark lines in the straight table are very handy for quick insight

Coding measures within KPI objects

Combo charts and Set Analysis

Getting your head around Set Analysis (Expressions) - It's so powerful and totally needed in your apps

Further to the previous lecture

More set expression coding

Practice makes perfect with some lateral thinking

A tip for ensuring the user sees exactly what is expected in the visualisation

Multi layered map with set expression(s)

Other Set Expression code work

You may like to code the expressions to help get the quiz answers

Learn how to discretise data using the Class() function and a flags method.

How to create a data table from existing model data that will become a disassociated table (Why is this not good but can be useful ? )

Here you will learn more about interacting with the "Data load editor"

Digging more into the code for this table.

Back to visualizations now and lets build a sheet for the discretisations and we'll also apply conditional formatting.

Advanced counting using Sum, Aggr() function and TOTAL.

The lecture goes into detail how to create a count of customer registrations by month.

Using advanced counting on your sheet and discuss the testing process for this.

Lets review what we have learned in this section and visualize this on a dashboard sheet.

Adding maps to the final dashboard sheet.

Section overview

Review what we have learned in this section and visualize this on a dashboard sheet.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops skills in Qlik Sense, a tool known for its associative data model, which facilitates insightful decision-making and data storytelling
Explores the use of Qlik Sense for visualizing data discoveries, which is a crucial step in data analysis workflows
Provides hands-on experience with Qlik Sense, which can be showcased through a certificate upon completion, demonstrating technical proficiency
Covers resolving data integrity and modeling issues like synthetic keys and circular references, which are common challenges in data modeling
Teaches how to identify KPIs, metrics, and dimensions from business requirements, which is essential for effective business intelligence
Requires downloading and installing Qlik Sense, which may require specific system configurations and resources

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Reviews summary

Practical qlik sense analytics development

According to learners, this course offers a highly practical approach focused on Qlik Sense analytics development, equipping students with transferable skills for both Enterprise and Cloud environments. Reviewers frequently praise the course's coverage of fundamental concepts, including data loading and the crucial associative data model. The program delves into challenging topics such as resolving synthetic keys and circular references, and provides in-depth coverage of powerful Set Analysis expressions. Learners appreciate the emphasis on hands-on development, using downloadable materials to build diverse visualizations like maps and Pareto charts. The inclusion of updated content is seen as beneficial for ensuring relevance in a changing software landscape.
Course materials are current and updated.
"Certificate in Qlik Sense Analytics Development (Fully updated October 2021)"
"(and it is continually updated to stay current)."
"The updated content felt very relevant to the current Qlik Sense version."
Skills applicable to Enterprise and Cloud.
"The skills that you learn in this course is 100% transferable to Qlik Sense Enterprise and Qlik Sense Cloud (SaaS)."
"I can apply these skills directly to my work environment (Enterprise)."
"This course prepares you for SaaS environments too."
Covers essential Qlik Sense building blocks.
"Build your familiarity with the basics of Qlik Sense including data loading & the Data Manager UI."
"Learn to create and use filters, filters are used during your journey of data discovery."
"Understand what a Metric and KPI does."
Designing and building various chart types.
"Design and build data visualisations using key Qlik Sense features."
"Add some pertinant charting... with a scatter plot and treemap."
"Explore combo and line charts, and learn about expression sorts."
Addresses complex data modelling issues.
"Understand the associative data model and how to load data to it."
"Resolve data integrity and modelling issues like synth keys and circular references."
"Data modelling 101 in Qlik Sense helped me get tight with the model."
Focuses on hands-on development tasks.
"If you want a hands on approach to learning Qlik Sense...this is the best course for you."
"Explore downloadable source code & data during your development work here."
"Practice makes perfect with some lateral thinking [on expressions]."
In-depth coverage of Set Analysis.
"Code expressions for metrics and dimensions, we learn set analysis coding too."
"Getting your head around Set Analysis (Expressions) - It's so powerful..."
"More set expression coding practice was very helpful."

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 Certificate in Qlik Sense Analytics Development with these activities:
Review Data Modeling Fundamentals
Reinforce your understanding of data modeling principles before diving into Qlik Sense's associative model. A solid foundation will make understanding Qlik Sense's unique approach easier.
Browse courses on Data Modeling
Show steps
  • Review basic database concepts like tables, keys, and relationships.
  • Study different data modeling techniques such as star schemas and snowflake schemas.
  • Practice creating simple data models using pen and paper or a data modeling tool.
Review 'Learning Qlik Sense: The Official Guide'
Get a solid foundation in Qlik Sense with the official guide. This book covers all the basics and provides a clear path for learning the platform.
View Qlik Sense on Amazon
Show steps
  • Read the book from cover to cover, paying attention to the examples.
  • Try out the examples in Qlik Sense to reinforce your understanding.
  • Use the book as a reference guide when you encounter challenges in your projects.
Review 'Qlik Sense Cookbook'
Explore practical solutions and techniques for Qlik Sense development. This book offers recipes for various visualization and data handling challenges.
View Melania on Amazon
Show steps
  • Browse the table of contents to identify relevant recipes.
  • Work through recipes related to data loading, transformations, and visualizations.
  • Adapt the recipes to your own data and projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Set Analysis Coding Challenges
Master Set Analysis by working through a series of coding challenges. This will help you develop fluency in writing Set Analysis expressions.
Show steps
  • Find a set of Set Analysis coding challenges online or create your own.
  • Work through the challenges one by one, testing your solutions in Qlik Sense.
  • Review your solutions and identify areas for improvement.
Build a Personal Finance Dashboard
Apply your Qlik Sense skills to a real-world project by creating a dashboard to track your personal finances. This will solidify your understanding of data loading, modeling, and visualization.
Show steps
  • Gather your financial data from bank statements, credit card statements, and other sources.
  • Load and transform the data in Qlik Sense.
  • Create visualizations to track your income, expenses, and net worth.
  • Design a dashboard to present your financial information in a clear and concise way.
Write a Blog Post on Set Analysis
Deepen your understanding of Set Analysis by explaining it to others. Writing a blog post will force you to clarify your thinking and identify any gaps in your knowledge.
Show steps
  • Research Set Analysis concepts and syntax in Qlik Sense.
  • Develop a clear and concise explanation of Set Analysis.
  • Include examples of how Set Analysis can be used to solve real-world problems.
  • Publish your blog post on a platform like Medium or your own website.
Create a Qlik Sense Extension
Extend Qlik Sense's functionality by creating your own custom extension. This will require you to learn about Qlik Sense's extension API and web development technologies.
Show steps
  • Learn the basics of HTML, CSS, and JavaScript.
  • Study the Qlik Sense extension API documentation.
  • Design and develop your extension.
  • Test and debug your extension.
  • Share your extension with the Qlik Sense community.

Career center

Learners who complete Certificate in Qlik Sense Analytics Development will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
The role of a Data Visualization Specialist involves creating visual representations of data, and this course will be very useful to those who wish to enter this profession. This course specifically focuses on Qlik Sense, a data visualization tool widely used in the industry. The course covers many key aspects of data visualization, including how to design and build data visualisations, how to load data, and how to resolve data modelling issues. This is particularly useful for a Data Visualization Specialist. This course will help those who want to develop a better way to present data for insightful decision making, and is perfect for those wanting a hands-on approach to learning Qlik Sense. It teaches useful skills like coding expressions for metrics and dimensions, including set analysis coding.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to understand business trends and provide actionable insights, and this role is a natural fit for the skills gained in this course. The course focuses on Qlik Sense, a powerful data visualization tool that allows users to create interactive dashboards and reports. Business Intelligence Analysts regularly rely on data visualization tools, and this course can help them present data in ways that are easy for stakeholders to understand. The course emphasizes the development of visualisations using key Qlik Sense features, which helps provide core skills needed by a Business Intelligence Analyst. The course provides a hands-on approach to learning Qlik Sense, and is ideal for those looking to build practical skills in business intelligence.
Analytics Consultant
An Analytics Consultant helps businesses make better decisions by analyzing data, and this course will help someone prepare for this role. The course focuses on Qlik Sense, a tool that enables users to extract insights from data through visualizations. An Analytics Consultant must be comfortable with data visualization, and this course helps build a foundation in the field. The course will allow the learner to build skills identifying key performance indicators, metrics, and dimensions from business requirements, which is key for a consultant to be successful. By working through the course, a person can enhance their capabilities in data analysis and their ability to present data for strategic decision making.
Report Developer
A Report Developer designs and creates reports using data to communicate insights, and this course may be useful for this career. The course focuses on Qlik Sense, which is a tool used to create visualizations and dashboards. Report Developers need strong skills in how to present data visually. This course will teach you how to build data visualizations using key Qlik Sense features, in addition to other skills needed to succeed as a Report Developer. The course emphasizes a hands-on approach to using Qlik Sense and will help in understanding how to effectively present data from within the tool.
Data Analyst
A Data Analyst interprets data to identify trends and patterns that can help organizations make better decisions, and this course may provide relevant skills for this position. The course emphasizes hands-on learning of Qlik Sense, a tool used for data visualization and analysis, and teaches how to load data and resolve any data modeling issues. Data Analysts use data to drive business decisions, and this course covers key Qlik Sense features that help in their work. The course teaches many concepts that are useful to a Data Analyst, such as coding expressions for metrics and dimensions, and set analysis coding. By taking this course, one can enhance their data analysis skills and ability to present insights visually using Qlik Sense.
Business Analyst
Business Analysts identify business needs and propose solutions, often using data analysis to inform their recommendations, and this course can provide a foundation in the use of data visualization tools. The course centers on Qlik Sense which allows users to gain insights from data through interactive dashboards and reports. Business Analysts are often tasked with presenting information to stakeholders and using visualizations to show business trends, and this course could help them build these skills. This course will help a Business Analyst to be more efficient with a hands on approach, as it teaches how to identify KPIs and metrics, and then design and build visual representations for decision making.
Database Analyst
A Database Analyst works with data, and this course may be helpful in developing some additional skills for this profession. This course introduces concepts related to data modeling, loading data, and resolving issues within the data using Qlik Sense. The course includes information on the associative data model and how to load data to it, skills that could be relevant to working with databases. While the course does not focus on database management directly, the skills learned could help a Database Analyst present data effectively. Given the focus on data visualization and analysis, this course may help you improve how data is presented to non-technical audiences.
Sales Operations Analyst
A Sales Operations Analyst supports sales teams by analyzing data and identifying areas for improvement, and this course may help those interested in this career path. The course focuses on Qlik Sense, a tool used to create visualizations and dashboards that can help one understand sales performance and identify trends. Sales Operations Analysts use data to drive sales strategies; this course could help improve your ability to present data through visualizations. The course will teach how to identify key performance indicators and metrics, which are essential for sales analysis. This course is a good way to explore how to use data to improve business performance.
Data and Analytics Manager
A Data and Analytics Manager leads teams that analyze data to support business objectives, and this course may be helpful for those who wish to advance into this role. This course covers Qlik Sense, a tool used to create interactive dashboards and reports based on data. The course will teach how to identify key performance indicators, metrics, and dimensions from business requirements, which would be very useful for a manager. This course may be of value to those who wish to lead teams that provide data driven insights. Those currently managing teams may also find the course useful when working with their teams or understanding the type of tools used.
Financial Analyst
A Financial Analyst interprets financial data to make recommendations and improve business decisions. This course may be helpful to those working in this role. The course focuses on Qlik Sense, a data visualization tool, and covers key concepts such as identifying key performance indicators, metrics, and dimensions from business requirements. These are skills that a Financial Analyst may use in their work. This course helps provide a hands-on approach in building data visualizations, which could be useful for presenting financial data effectively to stakeholders. This course doesn't directly cover financial analysis, but it can help those who want to use data visualization to improve the way they present their data.
Data Engineer
A Data Engineer builds and maintains the infrastructure for data analysis, and this course may be useful to those in this field. While this course focuses on Qlik Sense, a data visualization tool, Data Engineers may find the sections on data modeling, loading, and data integrity issues relevant to their work. For example, this course helps with resolving data integrity and modeling issues, as well as using the data load editor with data loading short cuts. Those hoping to become Data Engineers may find this course valuable for adding another useful skill to their toolkit, especially if it involves data visualization. The course does not provide a full foundation in data engineering, but it may help with understanding how data will be used later in the pipeline.
Market Research Analyst
A Market Research Analyst studies market conditions to understand trends and consumer behavior, and this course may provide valuable skills to those in this profession. The course focuses on Qlik Sense and how to create data visualisations, which are used to communicate insights from market research. The course teaches how to identify key performance indicators and metrics, which are important in analyzing market data. Market Research Analysts often need to present data in ways that are easy to understand, and this course provides a basis for doing so. While specific market research techniques are not covered, the skills learned can help with the data visualization aspects of the job.
Solutions Architect
A Solutions Architect designs and implements technology solutions for businesses, and this course may provide insights into data visualization tools that will be useful in this role. The course focuses on Qlik Sense, a platform used for data analysis and visualization. A Solutions Architect might propose this as a solution for their clients. This course includes hands on learning and covers how to design and build data visualizations using key Qlik Sense features. The course teaches important skills useful to a Solutions Architect, such as understanding data modelling issues. The course does not teach how to architect systems, but it may be helpful for learning about visualization and data presentation tools.
Information Architect
An Information Architect designs and organizes information systems, so this course may offer useful skills with data visualization. The course teaches Qlik Sense which involves building data visualizations and understanding the associative data model. This course can allow an Information Architect to discover ways to improve how data is surfaced and how to use data for better decision making. While this course focuses on tool-specific skills, the ability to work with data and create visualizations from this course will align with some of the goals of the Information Architect role. The course provides a hands-on approach to learning Qlik Sense, which will give professionals useful practical skills.
Technical Trainer
A Technical Trainer educates others on how to use technology, and this course may be useful for those who wish to enter this profession when teaching Qlik Sense. This course will help someone gain a deep understanding of Qlik Sense application development, so they can train others more effectively. The course includes a hands-on approach, and covers many features of Qlik Sense and how to use them. The course also teaches how to resolve data integrity and modeling issues, along with coding expressions. This course will help Technical Trainers learn how to use a technology, so they can then teach it to their students. Those already in technical training may wish to take this course to expand the technologies they train on.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Certificate in Qlik Sense Analytics Development.
Serves as a comprehensive introduction to Qlik Sense, covering everything from basic concepts to advanced techniques. It is particularly useful for beginners who want to get a solid understanding of the platform. The book provides clear explanations, step-by-step instructions, and practical examples. It can be used as a textbook or as a reference guide.

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