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The QlikView Business Analyst course at Koenig Solutions is a comprehensive 16-hour program designed to empower participants with essential skills in data visualization and business intelligence. Over two days, learners will begin by understanding the basics of QlikView and gradually advance to creating documents, loading data, designing visualizations, configuring various chart types, and interacting with documents. Key topics include creating bar, line, and pie charts, as well as effective sharing and collaboration features such as bookmarks and annotations. By the end of the course, participants will be proficient in leveraging QlikView for insightful data analysis, making informed decisions, and enhancing overall business intelligence strategies.
Purchase This Course
USD
View Fees Breakdown
Course Fee | 1,075 |
Total Fees |
1,075 (USD) |
USD
View Fees Breakdown
Course Fee | 850 |
Total Fees |
850 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the QlikView Business Analyst course, participants should have the following foundational knowledge:
These minimal prerequisites are designed to make sure you can comfortably engage with the course content and gain the most value from your training.
Explore the power of QlikView in this comprehensive 16-hour training course designed for individuals with a basic understanding of data concepts looking to enhance their Business Intelligence (BI) skills.
1. Course Introduction:
The QlikView Business Analyst course empowers learners to harness QlikView for robust data analysis and visualization, covering everything from data loading to chart configuration, and fostering effective collaboration through bookmarks and annotations.
2. Learning Objectives and Outcomes: