Mastering Qlik Sense
Mastering Qlik Sense, available at $44.99, has an average rating of 3.85, with 39 lectures, based on 119 reviews, and has 468 subscribers.
You will learn about Dive into schemas in data modeling and Qlik Sense preferences when creating dashboards with accelerated performance Load data from different data sources and know about the various connectors available within Qlik Sense Fix real-world issues you face, such as synthetic keys while loading your data Modify data in existing tables to obtain values required for your dashboard design as per business requirements Transform data to generate new columns and achieve desired outcomes on the dashboard Understand the use and benefits of including Preceding Load and Mapping Load in your data model Take a look at the different types of join and use them to optimize data models Realize the significance of Link Tables and how to create them so you can get better insights Master the Calendar script and modifications that we can make to obtain fields for timeline analysis This course is ideal for individuals who are If you have extensively used QlikView in the past and are looking to transition to Qlik Sense, this course will also help you. It is particularly useful for If you have extensively used QlikView in the past and are looking to transition to Qlik Sense, this course will also help you.
Enroll now: Mastering Qlik Sense
Summary
Title: Mastering Qlik Sense
Price: $44.99
Average Rating: 3.85
Number of Lectures: 39
Number of Published Lectures: 39
Number of Curriculum Items: 39
Number of Published Curriculum Objects: 39
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- Dive into schemas in data modeling and Qlik Sense preferences when creating dashboards with accelerated performance
- Load data from different data sources and know about the various connectors available within Qlik Sense
- Fix real-world issues you face, such as synthetic keys while loading your data
- Modify data in existing tables to obtain values required for your dashboard design as per business requirements
- Transform data to generate new columns and achieve desired outcomes on the dashboard
- Understand the use and benefits of including Preceding Load and Mapping Load in your data model
- Take a look at the different types of join and use them to optimize data models
- Realize the significance of Link Tables and how to create them so you can get better insights
- Master the Calendar script and modifications that we can make to obtain fields for timeline analysis
Who Should Attend
- If you have extensively used QlikView in the past and are looking to transition to Qlik Sense, this course will also help you.
Target Audiences
- If you have extensively used QlikView in the past and are looking to transition to Qlik Sense, this course will also help you.
You’ve probably done some beginner work on Qlik Sense, so you know how easy it is to work with the interface. However, there is always more than what we see on the Qlik Sense dashboard. Work done by developers in the extremity plays a very important role while making an appealing and well-performing dashboard.
If your data model is not designed appropriately, you will face issues not only with the performance of the app but also with the quality of its output.
In this course, we look at everything that goes into creating a data model to give you the most optimized performance, including how to load data from different data sources, fix synthetic keys, and other issues. Also included are topics such as creating link tables, the master calendar script, and applying set analysis to your data. Thus, you will master the art of creating dashboards that are not only visually appealing and accurate but also very informative and a BIG bonus to your team while making those tough decisions.
About The Author
Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as Big Data, Data Science, Machine Learning, and Cloud Computing. Over the past few years, they have worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World’s most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.
Diksha Bhosle is a versatile trainer from Colibri Digital. She has over 12 years’ experience and has trained in a number of different technologies including Microsoft, CRM, Marketing Applications and of course Qlik Sense and Qlik View. Having worked with Qlik Technologies for a few years she has in-depth knowledge and understanding of both Qlik View and Qlik Sense. After a number of interactions with Various Qlik Sense customers, she has gained a deeper understanding of common issues faced by customers.
Course Curriculum
Chapter 1: Qlik Sense: Going Beyond Essentials
Lecture 1: The Course Overview
Lecture 2: What’s New in Qlik Sense?
Lecture 3: Understanding the Schemas
Lecture 4: Our Objective: The Data Model
Chapter 2: Loading data in Qlik Sense
Lecture 1: Introduction to Data Load Editor
Lecture 2: Loading Data in Qlik Sense
Lecture 3: What is Data Transformation?
Chapter 3: Synthetic Keys: Common Issues and Solutions
Lecture 1: Loading Dimension Tables
Lecture 2: Synthetic Keys: Problems Arising from Them
Lecture 3: Synthetic Keys: Choosing a Solution That Works for You
Lecture 4: Synthetic Keys: Impact on Your Dashboard
Chapter 4: Debugging Common Issues around Circular References
Lecture 1: Loading Data: Database Example
Lecture 2: Loading Data from Other Data Files
Lecture 3: What Impact Does Circular Reference Have?
Lecture 4: Resolving Circular References
Lecture 5: Impact of the Circular References on the Dashboard
Chapter 5: Doing More with Your data
Lecture 1: Using the Where Clause to Filter Data
Lecture 2: Using Resident Load to Manipulate Data
Lecture 3: Using Where Exists for comparisons
Lecture 4: Adding Counters When Needed
Chapter 6: Using Mapping Tables and Preceding Load
Lecture 1: Mapping Load
Lecture 2: Preceding Load
Chapter 7: Optimizing Data Model with Joins
Lecture 1: Introduction of Joins
Lecture 2: Using Joins
Lecture 3: Concatenation in Qlik Sense
Lecture 4: Auto- Concatenation in Qlik Sense
Lecture 5: Forced Concatenation in Qlik Sense
Chapter 8: Class Function and Link Tables
Lecture 1: Grouping Data Using Class Function
Lecture 2: How To Use the Class Function
Lecture 3: Link Tables in Qlik Sense
Chapter 9: Making the Most of Master Calendar
Lecture 1: Master Calendar
Lecture 2: Master Calendar MinMaxDate
Lecture 3: Master Calendar – Final Script
Lecture 4: Master Calendar – Dashboard Example
Chapter 10: Applying Set Analysis and Section Access
Lecture 1: Introduction To Set Analysis
Lecture 2: How Does Set Analysis Work
Lecture 3: Section Access
Lecture 4: Section Access Script
Lecture 5: Moving on From Here…
Instructors
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 3 votes
- 3 stars: 31 votes
- 4 stars: 46 votes
- 5 stars: 36 votes
Frequently Asked Questions
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