QlikSense Visualizations Masterclass

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Curriculum

Lecture 3: Qlik Sense Desktop Installation

Lecture 4: Qlik Sense Desktop Installation – Part II

Lecture 5: Sample Data and Folder structure

Lecture 6: Course Approach

Chapter 2: Qlik Sense Key Concepts

Lecture 1: Introduction to Qlik Sense Hub

Lecture 2: Associative Search

Lecture 3: Smart Search

Lecture 4: Challenge – Smart Search

Lecture 5: Solution – Smart Search

Chapter 3: Visualizations Key Concepts

Lecture 1: Visualizations Basics

Lecture 2: Visualization Best Practices

Lecture 3: What Chart to Use?

Lecture 4: Qlik Sense Chart Types

Chapter 4: Qlik Sense Data Model

Lecture 1: Build Data Model using Data Manager

Lecture 2: Data Model Viewer

Lecture 3: Dimensions and Measures

Lecture 4: Master Items

Chapter 5: Qlik Sense Visualizations – Part I

Lecture 1: Bar Chart & Line Chart

Lecture 2: Challenge – Combo Chart

Lecture 3: Solution – Combo Chart

Lecture 4: Pie Chart

Lecture 5: Box Plot Chart

Lecture 6: KPI Object

Lecture 7: Challenge -KPI

Lecture 8: Solution – KPI

Lecture 9: Text Object

Chapter 6: Qlik Sense Visualization – Part II

Lecture 1: Pivot Table

Lecture 2: Scatterplot Chart

Lecture 3: Challenge – Comparative Analysis

Lecture 4: Solution – Comparative Analysis

Lecture 5: Filters

Lecture 6: Class Function

Lecture 7: Challenge – Pivot Table

Lecture 8: Solution – Pivot Table

Lecture 9: Treemap Chart

Lecture 10: Challenge – Line Chart

Lecture 11: Solution – Line Chart

Lecture 12: Challenge – Scatter plot Chart

Lecture 13: Solution – Scatter plot Chart

Chapter 7: Visualization Functions and Expressions

Lecture 1: Expressions

Lecture 2: Color and Sorting Expressions

Lecture 3: Challenge – Conditional Color Expression

Lecture 4: Solution – Conditional Color Expression

Lecture 5: Gauge Chart with dynamic title

Lecture 6: Color Variable

Lecture 7: Challenge – Create a Color Legend

Lecture 8: Solution – Color Legend

Lecture 9: Calculation Conditions

Lecture 10: Expression with a Flag

Chapter 8: Set Analysis

Lecture 1: Fundamentals of Set Analysis

Lecture 2: KPI with Set Modifier

Lecture 3: Solution – Sub-KPI with Modifier

Lecture 4: Comparative Analysis

Lecture 5: Aggr() Function

Lecture 6: FirstSortedValue() Function

Lecture 7: FirstSortedValue() and Aggr() Functions

Lecture 8: KPI using Aggr()

Lecture 9: TOTAL qualifier

Lecture 10: Challenge – TOTAL qualifier

Lecture 11: Solution – TOTAL qualifier

Lecture 12: Challenge – Aggr() Function

Lecture 13: Solution – Aggr() Function

Chapter 9: Sharing Insights

Lecture 1: Bookmarks/Story telling

Chapter 10: Tips & Tricks

Lecture 1: Introduction

Lecture 2: Linear Regression

Lecture 3: Aggregation Functions

Lecture 4: Subset Ratio

Lecture 5: Qlik Sense Mashups – Useful Tips

Lecture 6: Cyclic Dimensions in a Qlik Sense Mashup

Lecture 7: Re-Use Master Items(Note)

Lecture 8: Re-Use Master Items(For Qlik Sense November 2020 and prior version)

Lecture 9: Drill-Down Maps

Lecture 10: Slope Graph

Lecture 11: Nested Parameterized Variables

Lecture 12: Picassojs Visualizations

Lecture 13: New Set Analysis Syntax