Course Objectives
  • Introduction and welcome
  • Our startup needs a business plan, but what is it meant to do ?
  • Business Planning
  • Getting started with Qlik Sense
  • Download , Install & Register Qlik Sense
The Language
  • Metrics and KPI's what are they ?
  • The language
Budgeting and KPI (goal) setting
  • Where to find everything ?
  • Introduction to navigating the Qlik Sense hub
  • Qlik Sense overview
  • Dimensions and Measures, what are they?
  • Dimensions and measures
  • Create your first application (App)
  • The first data load
  • Import and load data
  • Create a Pivot table
  • Using the pivot table for data review
  • Creating charts and expression sorts
  • How to create and use a KPI object
  • Year and month filter objects
  • Review the section and personalize the App
  • Overall review of this chapter
Data Science For Sales Performance
  • Loading new sales data to the model
  • Review and check the sales data
  • Learn about Master Items and start using count()
  • Basic expressions for calculating measures
  • Changing the scope using conditional expressions
  • More advanced expressions to calculate a variance
  • How to Visualise Correlation
  • Lateral thinking
  • Adding more features to the Pivot table
  • Think you're an expert yet ?
  • Geo Analysis (Part 1)
  • Geo Analysis (Part 2)
  • Maps and other items
Inventory Analytics
  • A conversation about the data we shall use for this section
  • Loading data and how to fix synthetic keys and circular references
  • Loading data and how to fix circular references
  • What have you learned about data so far
  • Creating a straight table and hierarchical drill down dimensions
  • Creating KPI objects and coding measures
  • Creating combo charts and a conversation about coding Set Analysis
  • Dimensions and other ideas
  • A conversation about coding Set Analysis
  • A continuation of our coding Set Analysis conversation
  • Coding Set Analysis for measures (Part 1)
  • Coding Set Analysis for measures (Final)
  • Check your Set Analysis status
Online Customer Sales Analytics
  • Overview the tons of new stuff in this section
  • Brace yourself, things are getting more advanced
  • Make a new model and merge like file structures
  • How to discretize data for analysis (Market Segmentation)
  • What of banding,discretization,bucketization
  • Understand what Resident loads are
  • What is the Lookup() function ?
  • Data islands and loads
  • Start creating our visualizations with discretized data (Market Segmentation)
  • Using Sum(), Aggr() and TOTAL for advanced counting explained
  • Surface and test the advanced counting
  • Advanced counting
  • Bringing it all together on a dashboard sheet
  • Enhance the dashboard sheet with mapping
Payroll Analytics and Pareto analysis
  • Introducing Payroll with some cool new functions
  • Data modelling 101 in Qlik Sense
  • Data modelling 101
  • Create a data analysis review sheet (Pt 1)
  • Create a data analysis review sheet (Pt 2)
  • Combining functions the RowNo(), Above() and RangeSum() for 80/20 analysis
  • How to do 80/20 analysis (Pt 1)
  • How to do 80/20 analysis (Pt 2)
  • How to do 80/20 analysis (Pt 3)
  • Bringing it all together
  • Final for section
Profit and Loss including the magic of variables
  • Lets explore another example of a compound key
  • Keys quickly
  • What is a variable and how do we use them in Qlik Sense (Part 1) ?
  • What is a variable and how do we use them in Qlik Sense (Part 2) ?
  • The magic of variables
  • Setting variables with date functions
  • Using variables in Set Analysis
  • Replacing simple expressions with expression variables
  • Embed conditional formatting expressions in variables
  • How to code string delimiters in a variable ?
  • Double check
Tips and Tricks (Bonus lectures)
  • How to create a bookmark and start on your story
  • How to create your story
  • How to share your story with others
  • Exporting data from Qlik Sense
  • Connect and extract data from a SQL Server database
  • Connect to and extract data from a web page
  • On tips and other aspects