QlikView

QlikView

course

Become an expert in Data Visualization with Qlikview

Duration : 6 months    Classes : 36     Days : Weekdays / Weekends

Unlock the full potential of data-driven decision-making with our immersive QlikView Training. This course is designed for business analysts, data professionals, and IT teams seeking to master QlikView, a powerful business intelligence platform known for its associative data model and interactive dashboards. Participants will learn how to transform raw data into meaningful insights by building dynamic visualizations, developing custom reports, and designing intuitive user interfaces. Through hands-on exercises and real-world case studies, learners will explore QlikView's scripting language, data modeling techniques, and performance optimization strategies. Whether you're working in finance, healthcare, retail, or manufacturing, QlikView equips you to uncover hidden trends, streamline reporting, and drive strategic decisions with speed and precision.

Our QlikView User Training is tailored for business managers and analysts who need fast, self-service access to data. You will master the unique associative experience, allowing you to instantly explore relationships and drill down into data across every dimension without needing to pre-aggregate or write code. Learn to leverage features like Selection Boxes, List Boxes, and Charts to perform guided analysis. By mastering the user interface and the fundamentals of Set Analysis, you will significantly accelerate your decision-making cycle, identify root causes, and uncover hidden patterns in sales, finance, and operations data.

You will gain expertise in QlikView's Script Editor, mastering ETL processes to clean and consolidate data from disparate sources. Crucially, you will master the Associative Data Model, understanding concepts like synthetic keys, circular references, and star/snowflake schemas to build efficient, high-performance QlikView applications (QVDs). Secure the technical skills required to be the architect of powerful, governed analytics.

Target Audience:-
-Business analysts and data professionals seeking to build interactive dashboards and reports
-Decision-makers and managers who want to explore data independently and make informed choices
-IT professionals and developers responsible for BI infrastructure and data integration
-Students and researchers in business intelligence, data science, and information systems
-Professionals preparing for QlikView Developer or QlikView Business Analyst certification

Learning Outcomes:-
-Understand QlikView's architecture, associative data model, and core components
-Create interactive dashboards, charts, and reports for business analysis
-Use set analysis, variables, and expressions for advanced calculations
-Implement security and access control for user-specific data views
-Deploy QlikView applications across desktop and server environments

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-Anybody can learn qlikview without any prerequisites. If you are aware of the fundamentals of SQL and have a working knowledge of DWH and Big Data, then it is an added advantage.



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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to QlikView and Business Intelligence
✔ Overview of QlikView and its role in BI
✔ QlikView architecture and components
✔ Associative data model vs traditional BI tools
✔ Real-world applications across industries

Module 2: Data Loading and Scripting
✔ Connecting to data sources:
✔ QlikView script editor and syntax
✔ Loading, transforming, and concatenating data
✔ Inline data, resident loads, and preceding loads

Module 3: Data Modeling and Optimization
✔ Star schema and snowflake modeling in QlikView
✔ Synthetic keys and circular references
✔ Link tables and data islands
✔ Optimizing data models for performance

Module 4: Building Visualizations and Charts
✔ Creating bar charts, pie charts, line graphs, and combo charts
✔ Using list boxes, tables, and multi-boxes
✔ Sorting, coloring, and formatting visual elements
✔ Best practices for visual design and layout

Module 5: Advanced Expressions and Set Analysis
✔ Aggregation functions and conditional expressions
✔ Set analysis syntax and use cases
✔ Variables and input boxes
✔ Calculated dimensions and measures

Module 6: Dashboard Design and User Interaction
✔ Designing multi-sheet dashboards
✔ Adding buttons, triggers, and actions
✔ Creating drill-downs and hierarchical views
✔ Responsive layout and guided analytics

Module 7: Security, Deployment, and Collaboration
✔ Section access and user-level data security
✔ Publishing applications to QlikView Server
✔ Managing reload schedules and access rights
✔ Collaboration through shared bookmarks and reports

Module 8: Capstone Project and Certification Preparation
✔ Choose a domain-specific dataset
✔ Build an end-to-end QlikView application: data model, visualizations, dashboard
✔ Apply scripting, expressions, and design best practices



NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.

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