Qlik Sense Certification The Complete Practical Course

Learn to develop Qlik Sense, be ready to take QSDA/QSBA certification exams – all in one comprehensive hands on course.
Qlik Sense Certification The Complete Practical Course
File Size :
27.35 GB
Total length :
33h 27m

Category

Instructor

Paul Scotchford

Language

Last update

5/2023

Ratings

4.4/5

Qlik Sense Certification The Complete Practical Course

What you’ll learn

Begin with the Data Manager to load & shape data in our first app
Understand associative model concepts
Create sheets with charts, tables and KPIs
Understand the 4 application tier types
Alternate states for comparative analysis
Star and Snowflake schema types
How to build data models based on user requirements
Load data from different data source types
Understand Joins, IntervalMatch, Crosstable , FirstSortedOrder ,Rank
Incremental loads with sub routines for flow control
Slowly Changing Dimensions
Validate the data using different techniques
Create technical requirements and design sheet layout
Using element (E) & (P) functions inside a set expression
The power of canonical calendars and their use
Geo Analytics with switchable metrics
Master Items e.g. Measures, Dimensions & Visualisations
Security e.g. Data Reduction
Mashups and data story telling
Migrate QlikView documents to Qlik Sense
Code Set Expressions – Simple to complex including date range expressions
Development using the D A R concept , common in enterprise solutions
Explore the Qlik Sense visualisation bundle features
Understand the theory behind the scenes to fully appreciate Qlik Sense , explained in vivid detail
Code pre-aggregations and flags in your load script
Write efficient data load scripts
So much more is covered in this course beyond what is included in this list
Practice with assignment exercises to refine your skills
Answer the quizzes to be sure of your knowledge
All recorded in HD 1080p with code zooming so you don’t miss a thing

Qlik Sense Certification The Complete Practical Course

Requirements

QlikSense is a Windows based architecture hence a Windows PC is required (or use a VM/Docker running windows on a Mac)
All software and data downloads are provided for this course
Basic understanding of Excel and formula creation such as functions like Sum()
Basic understanding of SQL concepts (Although you are guided through this in the data load scripts we code)
Basic understanding of data (e.g. Data Types, Files, Database concepts)

Description

1st Dec 2021 – A Message from a student via LinkedIn “After several years developing Qlik apps, I recently earned the Qlik Sense Business Analyst certification! Many thanks to Paul Scotchford for the amazing Udemy prep course which turned out to be an invaluable resource.”Yes this course delivers what it is designed to deliver …I will guide and instruct you in real world Qlik Sense data analytics project development that will boost your skills and confidence to go for that job or promotion you really want or take on the certification exams. Either way you are guaranteed to learn more in this course than any other Qlik Sense course that is currently available anywhere.This is the only course you need to become expert in developing Qlik Sense apps that will prepare you to take the Qlik Sense Data Architect (QSDA) and Business Analyst (QSBA) certifications !”More than 50k organisations in more than 100 countries around the world depend on Qlik to help them drive smarter, faster decisions every day.” With Qlik Sense being so popular (used by > 50,000 companies) in the data analytics and data science world the time is right for you to get on board and become highly proficient and employable in this rapidly expanding world of business intelligence , data analytics and data science.It’s not just medium to large corporations deploying web and mobile apps for data analysis and data science outcomes; but also large government organisations & educational institutions world wide.You can view the Qlik customer listing on their site and it’s impressive!  Can you picture yourself working for one of those companies ?FAQ …What if I don’t want to do a certification right now?No problem, this course is highly detailed so you will still become very competent in the development of Qlik Sense apps.Can I learn at my own pace as my time is limited ?You sure can as you have life time access 24/7 ! Just study to your schedule.I’ve never used Qlik Sense will this course be too hard for me ?If you like a challenge and follow the lectures carefully , code along then you will get to know Qlik Sense quickly and at your pace of learning.What if the course is not for me ?No problem ! You can get your money back with the Udemy 30 day refund offer – it’s a win win proposition.So what are your waiting for ?Take action , sign up and invest in your self and your future !

Overview

Section 1: QS Start-up 1 – Developer Setup

Lecture 1 Course Introduction

Lecture 2 How to be successful with this course

Lecture 3 Tune your browser to get 1080p HD all of the time

Lecture 4 Download , Install & Register Qlik Sense

Lecture 5 The Qlik Sense HUB overview

Section 2: QS Start-up 2 – The Data Manager

Lecture 6 Section Overview & Qlik Sense release cycle

Lecture 7 Project design analysis life cycle & requirements

Lecture 8 Identify your data to use in the dashboard – Part 1

Lecture 9 Identify your data to use in the dashboard – Final

Lecture 10 The Qlik Associative Model – Part 1

Lecture 11 The Qlik Associative Model – Final

Lecture 12 App creation and first data load

Lecture 13 Add a calculated field to the table

Lecture 14 Exercise 2.1 – Add a calculated field

Lecture 15 Exercise 2.1 Solution – Add a calculated field

Lecture 16 Bucketing (Discretisation) values in the Fact data

Lecture 17 Exercise 2.2 – Bucketing values in the Fact data

Lecture 18 Exercise 2.2 Solution – Bucketing values in the Fact data

Lecture 19 Repair fact data using replace on a column

Lecture 20 Exercise 2.3 – Repair fact data using replace on a column

Lecture 21 Exercise 2.3 Solution – Repair fact data using replace on a column

Lecture 22 Converting hard NULL values

Lecture 23 Exercise 2.4 – Converting a value to a NULL

Lecture 24 Exercise Solution 2.4 – Converting hard NULL values

Lecture 25 Load the Dimension data to add value to the fact data

Lecture 26 Exercise 2.5 – Add the next dimension

Lecture 27 Exercise 2.5 Solution – Add the next dimension

Lecture 28 Manual association of the dimension key

Lecture 29 Exercise 2.6 – Manual association of the dimension key

Lecture 30 Exercise 2.6 Solution – Manual association of the dimension key

Lecture 31 Split a field to reveal the dimension key

Lecture 32 Exercise 2.7 – Split a field to reveal the dimension key

Lecture 33 Exercise 2.7 Solution – Split a field to reveal the dimension key

Section 3: QS Start-up 2 – Visualising data

Lecture 34 Section Overview

Lecture 35 Editing app attributes

Lecture 36 Create the CEO Overview sheet and add a KPI

Lecture 37 Exercise 3.1 – Add a KPI with a calculation

Lecture 38 Exercise 3.1 Solution – Add a KPI with a calculation

Lecture 39 Understanding non aggregatable values

Lecture 40 Create a KPI to calculate revenue value

Lecture 41 Exercise 3.2 – Create a KPI to calculate profit

Lecture 42 Exercise 3.2 Solution – Create a KPI to calculate profit

Lecture 43 Adding a filter pane

Lecture 44 Exercise 3.3 – Another filter is required

Lecture 45 Exercise 3.3 Solution – Another drill down filter is required

Lecture 46 The Associative Selection Model

Lecture 47 Creating a calendar master item drill down list

Lecture 48 Exercise 3.4 – Create a master item drill down list

Lecture 49 Exercise 3.4 Solution – Create a master item drill down list

Lecture 50 Adding a line chart to the sheet

Lecture 51 Exercise 3.5 – Add a bar chart to the sheet

Lecture 52 Exercise 3.5 Solution – Add a bar chart to the sheet

Lecture 53 Adding a gauge to the sheet to measure ratio

Lecture 54 Exercise 3.6 – Create a new ratio and gauge

Lecture 55 Exercise 3.6 Solution – Create a new ratio and gauge

Lecture 56 The Straight table

Lecture 57 Exercise 3.7 – Add another measure to the table

Lecture 58 Exercise 3.7 Solution – Add another measure to the table

Lecture 59 Visual formatting

Lecture 60 Exercise 3.8 – Setup a conditional colour

Lecture 61 Exercise 3.8 Solution – Setup a conditional colour

Lecture 62 Create a Map with a calculation – Part 1

Lecture 63 Create a Map with a calculation – Final

Lecture 64 Exercise 3.9 – Map with a calculation

Lecture 65 Exercise 3.9 Solution – Map with a calculation

Lecture 66 Create a Map with a calculation inside the tool tip

Lecture 67 Exercise 3.10 – Calculation inside the tool tip

Lecture 68 Exercise 3.10 Solution – Calculation inside the tool tip

Lecture 69 Introduction to writing Set Expressions – Part 1

Lecture 70 Introduction to writing Set Expressions – Part 2

Lecture 71 Introduction to writing Set Expressions – Final

Lecture 72 Exercise 3.11 – Here’s one for you to code

Lecture 73 Exercise 3.11 Solution – Here’s one for you to code

Lecture 74 Create a scatter plot to show relationship between variables

Lecture 75 Exercise 3.12 – Scatter plot , use a different dimension

Lecture 76 Exercise 3.12 Solution – Scatter plot , use a different dimension

Section 4: —– QSDA – Qlik Sense Data Architect —–

Lecture 77 Data Architect curriculum overview

Section 5: QSDA 1 – Identify Requirements for Data Models (16% of the exam)

Lecture 78 QSDA 1 – Curriculum Overview

Lecture 79 Determining the business objectives

Lecture 80 Exercise 5.1 – Any other objectives to consider ?

Lecture 81 Exercise 5.1 Solution – Any other objectives to consider ?

Lecture 82 Identify the data requirements – Part 1

Lecture 83 Identify the data requirements – Final

Lecture 84 The Tiered Architecture – Part 1

Lecture 85 The Tiered Architecture – Final

Lecture 86 Exercise 5.2 – Tier review and your choice

Lecture 87 Exercise 5.2 Solution – Tier review and your choice

Lecture 88 Qlik Sense Features

Lecture 89 The Qlik Associative Model

Lecture 90 On Demand Application Generation – ODAG

Lecture 91 Qlik Sense Variables

Lecture 92 Alternate States

Lecture 93 Security features – Part 1

Lecture 94 Security features – Final

Lecture 95 Meeting the customer needs

Lecture 96 Define the security requirements

Lecture 97 Presenting a solution proposal to the customer

Section 6: QSDA 2 – Design Data Models (28% of the exam)

Lecture 98 QSDA 2 – Curriculum Overview

Lecture 99 Qlik Sense Terminologies

Lecture 100 Qlik Sense Windows architecture overview

Lecture 101 Qlik Sense Multi-Node Architecture Overview

Lecture 102 Qlik Sense – A scalable architecture – Part 1

Lecture 103 Qlik Sense – A scalable architecture – Final

Lecture 104 The Star Schema

Lecture 105 Exercise 6.1 – Build a Star Schema

Lecture 106 Exercise 6.1 Solution – Star Schema

Lecture 107 The Snowflake schema

Lecture 108 Exercise 6.2 – Build a Snowflake Schema

Lecture 109 Exercise 6.2 Solution – Snowflake Schema

Lecture 110 How to model our solution data – Part 1

Lecture 111 How to model our solution data – Part 2

Lecture 112 Exercise 6.3 – An associative thought experiment

Lecture 113 How to model our solution data – Final

Lecture 114 The Master Calendar

Section 7: QSDA 3 – Build Data Models (34% of the exam)

Lecture 115 QSDA 3 – Curriculum Overview

Lecture 116 Introduction to the data load editor – Part 1

Lecture 117 Introduction to the data load editor – Final

Lecture 118 Exercise 7.1 – Load a dimension

Lecture 119 Exercise 7.1 Solution – Load a dimension

Lecture 120 Download and Install SQL Server

Lecture 121 Restore the eCommerce_ODS database

Lecture 122 Load a dimension from SQL Server

Lecture 123 Exercise 7.2 Load a SQL Server fact table

Lecture 124 Exercise 7.2 Solution – Load a SQL Server fact table

Lecture 125 Load a fact table from MS Access

Lecture 126 Load multiple dimensions from MS Access

Lecture 127 Exercise 7.3 – Load a MS Access dimension and fact table

Lecture 128 Exercise 7.3 Solution – Load a MS Access dimension and fact table

Lecture 129 Finalising the Data Extract layer

Lecture 130 Exercise 7.4 – Finalising the Data Extract layer

Lecture 131 Exercise 7.4 Solution – Finalising the Data Extract layer

Lecture 132 Script regular statements

Lecture 133 Working with Qlik Sense variables – Part 1

Lecture 134 Working with Qlik Sense variables – Part 2

Lecture 135 Working with Qlik Sense variables – Final

Lecture 136 Exercise 7.5 – Setting a variable

Lecture 137 Exercise 7.5 Solution – Setting a variable

Lecture 138 Script prefixes

Lecture 139 Understanding table joins – INNER

Lecture 140 Understanding table joins – LEFT

Lecture 141 Understanding table joins – RIGHT

Lecture 142 Understanding table joins – OUTER

Lecture 143 Exercise 7.6 – Code a join

Lecture 144 Exercise 7.6 Solution – Code a join

Lecture 145 Script control statements

Lecture 146 The Incremental Load – Part 1 (Start Baseline)

Lecture 147 The Incremental Load – Part 2 (InLine)

Lecture 148 The Incremental Load – Part 3 (Temp Tables)

Lecture 149 The Incremental Load – Part 4 (Resident – Peek)

Lecture 150 The Incremental Load – Part 5 (Baseline wrap)

Lecture 151 The Incremental Load – Baseline Debug

Lecture 152 The Incremental Load – Part 7 (Inc Time)

Lecture 153 The Incremental Load – Final

Lecture 154 Exercise 7.7 – Coding Challenge

Lecture 155 Exercise 7.7 Solution – Coding Challenge

Lecture 156 Exercise 7.7 Solution – Debug the Coding Challenge

Lecture 157 Dealing with orthogonal list data – Part 1

Lecture 158 Dealing with orthogonal list data – Part 2

Lecture 159 Dealing with orthogonal list data – Part 3

Lecture 160 Dealing with orthogonal list data – Part 4

Lecture 161 Dealing with orthogonal list data – Final

Lecture 162 Exercise 7.8 – Adding additional list data to the model

Lecture 163 Exercise 7.8 Solution – Adding additional list data to the model

Lecture 164 The Slowly Changing Dimension – Intro

Lecture 165 The Slowly Changing Dimension – Coding

Lecture 166 Exercise 7.9 – Coding a SCD

Lecture 167 Exercise 7.9 Solution – Coding a SCD

Lecture 168 Coding the Master Calendar – The method used

Lecture 169 Coding the Master Calendar – The Code

Lecture 170 Segment, Aggregate, Mapping Load – Scenario

Lecture 171 Segmentation, Mapping Load, In Script Aggregation – Code Part 1

Lecture 172 Segmentation, Mapping Load, In Script Aggregation – Code Final

Lecture 173 Exercise 7.10 – Segmentation, Mapping Load, In Script Aggregation

Lecture 174 Exercise 7.10 Solution Solution – Segmentation, Mapping Load, Aggregation

Lecture 175 Tier Review – Development progress

Lecture 176 The Tier 4 Self Service Model

Lecture 177 Exercise 7.11 Challenge – Add to the model

Lecture 178 Exercise 7.11 Solution – Add to the model

Section 8: QSDA 4 – Validate Data (22% of the exam)

Lecture 179 QSDA 4 – Curriculum Overview

Lecture 180 Test Plan and Strategy

Lecture 181 The Synthetic Key – Part 1

Lecture 182 The Synthetic Key – Part 2

Lecture 183 Exercise 8.1 – Load tables & fix the synth key

Lecture 184 Exercise 8.1 Solution – Load tables & fix the synth key

Lecture 185 The Synthetic Key replaced with a Link Table – Intro

Lecture 186 The Synthetic Key replaced with a Link Table – Coding

Lecture 187 The Synthetic Key replaced with a Link Table – Testing

Lecture 188 Exercise 8.2 – Build a link table to replace a synth key

Lecture 189 Exercise 8.2 Solution – Build a link table to replace a synth key – Coding

Lecture 190 Exercise 8.2 Solution – Build a link table to replace a synth key – Testing

Lecture 191 Understanding and solving circular references – Intro

Lecture 192 Understanding and solving circular references – Coding

Lecture 193 Exercise 8.3 – Solve the Loop

Lecture 194 Exercise 8.3 Solution – Solve the Loop

Lecture 195 What of Density and Subset ratio ?

Lecture 196 Exercise 8.4 – Expose the issue with Non Null value

Lecture 197 Exercise 8.4 Solution – Expose the issue with Non Null value

Lecture 198 Model row count verification

Lecture 199 Aggregation check using a KPI object

Lecture 200 Exercise 8.5 – Aggregation check using a KPI object

Lecture 201 Exercise 8.5 Solution – Aggregation check using a KPI object

Lecture 202 Using a straight table in data validation

Lecture 203 Exercise 8.6 – Using a straight table in data validation

Lecture 204 Exercise 8.6 Solution – Using a straight table in data validation

Lecture 205 Data rectification – Primer

Lecture 206 Data rectification – Code a solution (Part 1)

Lecture 207 Data rectification – Code a solution (Part 2)

Lecture 208 Exercise 8.7 – Rectify additional data

Lecture 209 Exercise 8.7 Solution – Rectify additional data

Section 9: —– QSBA – Qlik Sense Business Analyst —–

Lecture 210 QSBA 1 – Business Analyst Overview

Section 10: QSBA 1 – Identify Requirements (23% of the exam)

Lecture 211 QSBA 1 – Curriculum Overview

Lecture 212 Qlik product awareness

Lecture 213 The Binary Load

Lecture 214 Generating visualisations from insights

Lecture 215 Master Items

Lecture 216 Smart search

Lecture 217 Responsive design principles

Lecture 218 Qlik Sense deployment options

Lecture 219 Preparing to ask the right questions

Lecture 220 Review the Business Objectives

Lecture 221 Technical requirements – [D]ashboard

Lecture 222 Technical requirements – [A]nalysis

Lecture 223 Technical requirements – [R]eporting

Lecture 224 Technical requirements – Mashup

Section 11: QSBA 2 – Design Application (22% of the exam)

Lecture 225 QSBA 2 – Curriculum Overview

Lecture 226 Application performance considerations

Lecture 227 Selecting the right type of Chart – Part 1

Lecture 228 Selecting the right type of Chart – Final

Lecture 229 Design the layout – [D]ashboard

Lecture 230 Design the layout – [A]nalysis

Lecture 231 Design the layout – [R]eporting

Lecture 232 Design the layout – The merged DAR app

Lecture 233 Design the layout – Mashup

Section 12: QSBA 3 – Prepare and Load Data (25% of the exam)

Lecture 234 QSBA 3 – Curriculum Overview

Lecture 235 Prepare & load the data – [D]ashboard

Lecture 236 Exercise 12.1 – Code a required SCD

Lecture 237 Exercise 12.1 Solution – Code a required SCD

Lecture 238 Prepare & load the data – [A]nalysis & [R]eporting (Part 1)

Lecture 239 Prepare & load the data – [A]nalysis & [R]eporting (Final)

Lecture 240 Exercise 12.2 – Code a Pre Aggregation

Lecture 241 Exercise 12.2 Solution – Code a Pre Aggregation

Section 13: QSBA 4 – Develop Application (30% of the exam) – [D]ashboard

Lecture 242 QSBA 4 – Curriculum Overview

Lecture 243 [D]ashboard – Button & Filter objects

Lecture 244 Exercise 13.1 – Add Dimension & Master Item

Lecture 245 Exercise 13.1 Solution – Add Dimension & Master Item

Lecture 246 [D]ashboard – KPI and Set Analysis (Pt 1)

Lecture 247 [D]ashboard – KPI and Set Analysis (Pt 2)

Lecture 248 [D]ashboard – KPI and Set Analysis (Final)

Lecture 249 Exercise 13.2 – Add a KPI with Set Analysis

Lecture 250 Exercise 13.2 Solution – Add a KPI with Set Analysis

Lecture 251 [D]ashboard – Add 2 KPI’s for Today and Yesterday

Lecture 252 Exercise 13.3 – 2 x KPI Challenge

Lecture 253 Exercise 13.3 Solution – 2 x KPI Challenge

Lecture 254 [D]ashboard – Add a Part of Whole chart

Lecture 255 Exercise 13.4 – Add another Part of Whole chart

Lecture 256 Exercise 13.4 Solution – Add another Part of Whole chart

Lecture 257 [D]ashboard – Add a Point Layer map

Lecture 258 Exercise 13.5 – Add a Point Layer map

Lecture 259 Exercise 13.5 Solution – Add a Point Layer map

Lecture 260 How to test app metrics are accurate (Part 1)

Lecture 261 How to test app metrics are accurate (Final)

Section 14: QSBA 4 – [A]nalysis

Lecture 262 [A]nalysis – Template , Branding & Debug

Lecture 263 [A]nalysis – Understanding the Canonical Calendar

Lecture 264 [A]nalysis – Creating the Canonical Calendar (Part 1)

Lecture 265 [A]nalysis – Creating the Canonical Calendar (Final)

Lecture 266 Exercise 14.1 – Wrap up the calendar code

Lecture 267 Exercise 14.1 Solution – Wrap up the calendar code

Lecture 268 [A]nalysis – All Time Sales

Lecture 269 [A]nalysis – Handling the Canonical Calendar in Set Expressions

Lecture 270 [A]nalysis – Previous Year KPI

Lecture 271 Exercise 14.2 – Year Difference KPI

Lecture 272 Exercise 14.2 Solution – Year Difference KPI

Lecture 273 [A]nalysis – Switching a calculation variable

Lecture 274 [A]nalysis – Layer map with a conditional metric (Part 1)

Lecture 275 [A]nalysis – Layer map with a conditional metric (Final)

Lecture 276 [A]nalysis – Implementing cumulative metrics (Part 1)

Lecture 277 [A]nalysis – Implementing cumulative metrics (Final)

Lecture 278 Exercise 14.3 – Code a cumulative metric

Lecture 279 Exercise 14.3 Solution – Code a cumulative metric

Lecture 280 [A]nalysis – Scatter plot with a predication (Inclusion)

Lecture 281 [A]nalysis – Scatter plot with advanced functions

Lecture 282 Exercise 14.4 – Scatter plot with a predication (Inclusion)

Lecture 283 Exercise 14.4 Solution – Scatter plot with a predication (Inclusion)

Lecture 284 [A]nalysis – Scatter plot with a predication (Exclusion)

Lecture 285 Exercise 14.5 – Scatter plot with a predication (Exclusion)

Lecture 286 Exercise 14.5 Solution – Scatter plot with a predication (Exclusion)

Lecture 287 [A]nalysis – Ranking values (Part 1)

Lecture 288 [A]nalysis – Ranking values (Part 2)

Lecture 289 [A]nalysis – Ranking values (Final)

Lecture 290 Exercise 14.6 – Ranking using Aggr()

Lecture 291 Exercise 14.6 Solution – Ranking using Aggr()

Lecture 292 [A]nalysis – KPI Override dimension selections

Lecture 293 [A]nalysis KPI This month previous year (Part 1)

Lecture 294 [A]nalysis KPI This month previous year (Final)

Lecture 295 Exercise 14.7 – KPI This week previous year

Lecture 296 Exercise 14.7 Solution – KPI This week previous year

Lecture 297 [A]nalysis – KPI Year to date

Lecture 298 [A]nalysis – KPI Week to date

Lecture 299 Exercise 14.8 – KPI Month to date

Lecture 300 Exercise 14.8 Solution – Month to date

Lecture 301 [A]nalysis – Element function E()

Lecture 302 [A]nalysis – Element function E() and search list

Lecture 303 [A]nalysis -Element function P()

Lecture 304 [A]nalysis – Combo chart & master vis

Lecture 305 Exercise 14.9 – Combo chart & master vis

Lecture 306 Exercise 14.9 Solution – Combo chart & master vis

Lecture 307 [A]nalysis – Currency basket distribution

Lecture 308 [A]nalysis – The Trellis container

Lecture 309 Exercise 14.10 – The Trellis container

Lecture 310 Exercise 14.10 Solution – The Trellis container

Lecture 311 [A]nalysis – Using a flag in the Set Expression

Lecture 312 Exercise 14.11 – Using a flag in the Set Expression

Lecture 313 Exercise 14.11 Solution – Using a flag in the Set Expression

Lecture 314 [A]nalysis – Comparative Analysis using alternate states

Lecture 315 Exercise 14.12 – Comparative Analysis using alternate states

Lecture 316 Exercise 14.12 Solution – Comparative Analysis using alternate states

Lecture 317 [A]nalysis – Using what if to assess the effect(s) – (Part 1)

Lecture 318 [A]nalysis – Using what if to assess the effect(s) – (Final)

Lecture 319 Exercise 14.13 – Using what if to assess the effect(s)

Lecture 320 Exercise 14.13 Solution – Using what if to assess the effect(s)

Lecture 321 [A]nalysis – Charting with a canonical calendar

Section 15: QSBA 4 – [R]eporting

Lecture 322 [R]eporting – Visualising tabular data (Part 1)

Lecture 323 [R]eporting – Visualising tabular data (Final)

Lecture 324 [R]eporting – Bookmark and sheet actions

Lecture 325 Exercise 15.1 – Your challenge

Lecture 326 Exercise 15.1 Solution – Your challenge (Part 1)

Lecture 327 Exercise 15.1 Solution – Your challenge (Final)

Lecture 328 [R]eporting – Using the P&L Pivot for our tabular data (Part 1)

Lecture 329 [R]eporting – Using the P&L Pivot for our tabular data (Final)

Lecture 330 Exercise 15.2 – Using the P&L Pivot for our tabular data

Lecture 331 Exercise 15.2 Solution – Using the P&L Pivot for our tabular data

Lecture 332 [R]eporting – Combine text and aggregation values in the metric

Lecture 333 Exercise 15.3 – Complex conditional formatting

Lecture 334 Exercise 15.3 Solution – Complex conditional formatting

Section 16: QSBA 4 – Merge Applications

Lecture 335 Merge apps – Planning

Lecture 336 Merge apps – Migration to target app

Lecture 337 Merge apps – Landing page & navigation

Lecture 338 Exercise 16.1 – Complete the final app

Lecture 339 Exercise 16.1 Solution – Complete the final app

Section 17: QSBA 4 – Implement the Security Model

Lecture 340 Prevent access to an App via Section Access

Lecture 341 Limit data access via the REDUCTION field (Part 1)

Lecture 342 Hide columns via the OMIT field

Section 18: QSBA 4 – Mashup development

Lecture 343 Introduction to the Mashup

Lecture 344 The Dev Hub

Lecture 345 Single integration

Lecture 346 Create a multi object mashup

Section 19: QSBA 4 – QlikView to QlikSense app converter

Lecture 347 Introduction to QlikView migration

Lecture 348 Migrate a QlikView document to Qlik Sense App

Section 20: QSBA 4 – Narrate (Story telling)

Lecture 349 Introduction to data story telling

Lecture 350 Gathering the material

Lecture 351 Assemble and tell the story

Section 21: QSBA 4 – Complex expressions

Lecture 352 Inverse a rank value – Introduction

Lecture 353 Inverse a rank value – Coding

Lecture 354 Exercise 21.1 – Inverse a rank value

Lecture 355 Exercise 21.1 Solution – Inverse a rank value

Section 22: Conclusion

Lecture 356 A congratulatory message

Lecture 357 Request a quiz results based Achievement Certificate that you can showcase

If you want to learn Qlik Sense completely from scratch then you should take this course,If you have some rudimentary Qlik Sense skills and want to develop them further then you should take this course,Even if you are good with Qlik Sense and want to advance much further then you definitely should take this course,If you are planning on sitting the QSDA/QSBA certification exams you should take this course to fill in the your knowledge gaps to pass the exams

Course Information:

Udemy | English | 33h 27m | 27.35 GB
Created by: Paul Scotchford

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