Beginner Data Modelling with Qlik Sense
Master the art of transforming raw data into insightful metrics with our beginner-friendly Qlik Sense Data Modeling course. Harness powerful tools to create dynamic visualizations and make informed decisions. Enroll now for hands-on experience in navigating complex datasets and building efficient data models.
- Available in:
- Malaysia

Training Provider Pricing
Pax:
Features
Subsidies

What you'll learn
- Comprehend dimensions, measures, and RDBMS interactions with Qlik Sense
- Identify different deployment scenarios for Qlik Sense
- Utilize Qlik Sense's Data Manager for effective data structure management
- Understand Qlik Sense Deployment architecture and Enterprise platform
- Differentiate between Database structures and Qlik Sense's approach
- Develop new applications using the intuitive features of the Qlik Sense Hub
- Create associations in Qlik Sense for robust data modeling
- Manipulate the Data Load Editor for advanced scripting and data integration
Why should you attend?
Dive into the world of data modeling with our comprehensive program designed to equip you with the foundational knowledge of Qlik Sense. This course will guide you through the deployment architecture and the enterprise platform, ensuring a robust understanding of various deployment scenarios. You'll gain insights into data mining, dimensions, measures, and how relational database management systems interact with Qlik Sense's unique data source formats. Learn how to manage data effectively using Qlik Sense's data manager and understand the differences between database and Qlik Sense data structures. The course emphasizes on data associations within Qlik Sense and equips you with practical skills in data modeling. Additionally, you'll explore the Qlik Sense Hub, get an overview of apps, and learn to create new applications with ease. Mastering the data load editor environment and script sections will further enhance your proficiency in sourcing and loading data from diverse connections, databases, files, and adding calculated fields to tables.
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Ratings and Reviews
Instructor

Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of extensive experience in the IT and business sectors, having worked across multiple continents including the US, Europe, Asia, South America, and the Middle East. His expertise spans a wide array of domains such as Agile methodologies (Scrum, SAFe, Kanban), enterprise architecture frameworks like TOGAF and COBIT, IT service management standards including ITIL and ISO27001, as well as cybersecurity certifications like CISO and CISSP. Tarun's proficiency extends to project management frameworks such as PRINCE2 and PMP, along with cutting-edge technologies in Big Data analytics using Hadoop and Spark, data science with Python or R, and data visualization tools like Tableau. Tarun has held numerous senior development and executive roles including CIO/CTO positions where he managed large-scale IT operations for multinational corporations such as Dell, AMD, and Experian. His leadership skills have been instrumental in enhancing business operations across various functions including HR, Finance, Operations, Sales, Risk Management, Engineering/Manufacturing, and Accounting. He has also contributed significantly to regional conglomerates like Indra in the Asia Pacific region. A passionate educator at heart, Tarun has facilitated training workshops throughout Asia Pacific countries such as Malaysia, Indonesia, Philippines, Thailand, and Singapore. His training sessions cover a broad spectrum of topics from project management to strategic leadership and soft skills development. Additionally, he specializes in advanced technical subjects like software architecture design patterns for reactive microservices architectures on cloud platforms. Tarun's academic credentials are equally impressive; he graduated summa cum laude with an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago. He holds multiple Bachelor's degrees in Biology, Math & Computer Science alongside Business Administration. Further enriching his knowledge base are certifications as an Agile/Scrum trainer; Java/.NET programmer; Machine Learning specialist; InfoSec expert; Business Intelligence professional; complemented by advanced studies in AI & Blockchain from prestigious institutions like MIT & Stanford. His client portfolio includes renowned organizations such as Western Digital/Sandisk for machine learning product management projects; Singtel & CIMB for agile product development initiatives; Tenaga Nasional & JPJ for agile project management engagements among others. Tarun's dynamic approach combined with his deep-rooted passion for developing people makes him a sought-after speaker at international conferences where he shares insights on digital transformation strategies.
Instructor

Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.
Minimum Qualification
Target Audience
Methodologies
Why should you attend?
Dive into the world of data modeling with our comprehensive program designed to equip you with the foundational knowledge of Qlik Sense. This course will guide you through the deployment architecture and the enterprise platform, ensuring a robust understanding of various deployment scenarios. You'll gain insights into data mining, dimensions, measures, and how relational database management systems interact with Qlik Sense's unique data source formats. Learn how to manage data effectively using Qlik Sense's data manager and understand the differences between database and Qlik Sense data structures. The course emphasizes on data associations within Qlik Sense and equips you with practical skills in data modeling. Additionally, you'll explore the Qlik Sense Hub, get an overview of apps, and learn to create new applications with ease. Mastering the data load editor environment and script sections will further enhance your proficiency in sourcing and loading data from diverse connections, databases, files, and adding calculated fields to tables.
What you'll learn
- Comprehend dimensions, measures, and RDBMS interactions with Qlik Sense
- Identify different deployment scenarios for Qlik Sense
- Utilize Qlik Sense's Data Manager for effective data structure management
- Understand Qlik Sense Deployment architecture and Enterprise platform
- Differentiate between Database structures and Qlik Sense's approach
- Develop new applications using the intuitive features of the Qlik Sense Hub
- Create associations in Qlik Sense for robust data modeling
- Manipulate the Data Load Editor for advanced scripting and data integration
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Training Provider Pricing
Pax:
Features
Subsidies

Ratings and Reviews
Instructors

Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of extensive experience in the IT and business sectors, having worked across multiple continents including the US, Europe, Asia, South America, and the Middle East. His expertise spans a wide array of domains such as Agile methodologies (Scrum, SAFe, Kanban), enterprise architecture frameworks like TOGAF and COBIT, IT service management standards including ITIL and ISO27001, as well as cybersecurity certifications like CISO and CISSP. Tarun's proficiency extends to project management frameworks such as PRINCE2 and PMP, along with cutting-edge technologies in Big Data analytics using Hadoop and Spark, data science with Python or R, and data visualization tools like Tableau. Tarun has held numerous senior development and executive roles including CIO/CTO positions where he managed large-scale IT operations for multinational corporations such as Dell, AMD, and Experian. His leadership skills have been instrumental in enhancing business operations across various functions including HR, Finance, Operations, Sales, Risk Management, Engineering/Manufacturing, and Accounting. He has also contributed significantly to regional conglomerates like Indra in the Asia Pacific region. A passionate educator at heart, Tarun has facilitated training workshops throughout Asia Pacific countries such as Malaysia, Indonesia, Philippines, Thailand, and Singapore. His training sessions cover a broad spectrum of topics from project management to strategic leadership and soft skills development. Additionally, he specializes in advanced technical subjects like software architecture design patterns for reactive microservices architectures on cloud platforms. Tarun's academic credentials are equally impressive; he graduated summa cum laude with an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago. He holds multiple Bachelor's degrees in Biology, Math & Computer Science alongside Business Administration. Further enriching his knowledge base are certifications as an Agile/Scrum trainer; Java/.NET programmer; Machine Learning specialist; InfoSec expert; Business Intelligence professional; complemented by advanced studies in AI & Blockchain from prestigious institutions like MIT & Stanford. His client portfolio includes renowned organizations such as Western Digital/Sandisk for machine learning product management projects; Singtel & CIMB for agile product development initiatives; Tenaga Nasional & JPJ for agile project management engagements among others. Tarun's dynamic approach combined with his deep-rooted passion for developing people makes him a sought-after speaker at international conferences where he shares insights on digital transformation strategies.

Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.
Minimum Qualification
Target Audience
Methodologies
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