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.
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
Learn about Master Items, Conditional expressions and more as you build up the Sales Performance sheet.
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.
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.