Course Prerequisites
- Please note that this course has the following prerequisites which must be completed before it can be accessed
About This Course
QlikView Training is designed to equip participants with the skills needed to utilize QlikView, a powerful business intelligence and data visualization tool. This course covers everything from the basics of QlikView’s associative model to advanced data analysis and dashboard creation. Participants will learn to load and transform data, build and customize interactive dashboards, and perform complex data analyses. The training includes practical exercises and real-world case studies, ensuring that learners can apply their skills to actual business scenarios. Ideal for business analysts, data professionals, and anyone seeking to enhance their data visualization and analytical capabilities, this course provides comprehensive knowledge to turn raw data into meaningful insights and drive data-driven decision-making within organizations.
Skills You Will Learn
- Data Loading and Extraction: Efficiently load and extract data from various sources, including databases, spreadsheets, and cloud services.
- Data Transformation: Clean, transform, and prepare data for analysis using QlikView’s data manipulation tools.
- Associative Data Model: Understand and apply QlikView’s associative data model for dynamic and flexible data analysis.
- Scripting: Write and use QlikView scripts to automate data loading and transformation processes.
- Advanced Visualizations: Create advanced visualizations such as bar charts, line graphs, pie charts, scatter plots, and more to represent data effectively.
- Calculated Fields: Create and use calculated fields for customized data calculations and metrics.
- User Interface Design: Design intuitive and user-friendly interfaces to enhance user experience and data accessibility.
- Security and Access Control: Implement security measures and control user access to ensure data privacy and integrity.
- Integration Skills: Integrate QlikView with other tools and data sources for comprehensive data analysis.
- Collaboration and Sharing: Share dashboards and reports with team members and stakeholders, and collaborate effectively using QlikView’s sharing features.
- Best Practices: Learn industry best practices for data visualization, report design, and data governance to create high-quality, impactful QlikView applications.
Key Highlights: QlikView Course
- Interactive Dashboards: Design and create dynamic, interactive dashboards that provide deep insights and facilitate data discovery.
- Advanced Data Visualization: Master advanced visualization techniques to create compelling and informative charts, graphs, and tables.
- Real-World Applications: Apply your knowledge to real-world scenarios and case studies to ensure practical understanding and usability.
- Integration Capabilities: Integrate QlikView with other tools and data sources for comprehensive data analysis.
- Expert Instructors: Learn from experienced professionals with deep knowledge of QlikView and its applications.
- Flexible Learning: Enjoy self-paced modules and flexible schedules that accommodate your learning needs.
- Career Support: Access resources for resume building, interview preparation, and job placement assistance to advance your career in data analytics.
Curriculum
Introduction to QlikView
Overview of Business Intelligence (BI) and Data Visualization
Introduction to QlikView
QlikView Architecture and Components
Installation and Setup of QlikView
QlikView Interface Overview
Getting Started with QlikView
Creating a New QlikView Document
Understanding Data Sources and Connections
Loading Data into QlikView
Basic Data Load Script
Understanding QlikView Data Model
Data Loading and Scripting
Introduction to QlikView Scripting
Loading Data from Different Sources (Excel, SQL, CSV, etc.)
Data Transformation in Load Script
Using QVD (QlikView Data) Files
Optimizing Data Load Performance
Data Modeling
Understanding QlikView Data Model
Creating Associations between Tables
Handling Synthetic Keys and Circular References
Using the Data Manager
Advanced Data Modeling Techniques
Creating Visualizations
Overview of QlikView Visualizations
Creating and Customizing Charts (Bar, Line, Pie, etc.)
Working with Tables (Straight Table, Pivot Table)
Using List Boxes and Multi Boxes
Creating Gauges and Other Visualization Objects
Advanced Visualization Techniques
Using Set Analysis for Advanced Filtering
Implementing Calculated Dimensions and Measures
Creating Drill-Down and Cyclic Groups
Advanced Chart Properties and Customizations
Using Expressions and Variables
Scripting and Data Transformation
Advanced Scripting Techniques
Using Mapping Tables and ApplyMap Function
Concatenation and Joins in Script
Using Resident and Preceding Load
Creating and Using Master Calendar
Data Analysis and Reporting
Performing Data Analysis in QlikView
Using Bookmarks and Search
Creating and Managing Reports
Using the Report Editor
Exporting Data and Reports
QlikView Functions and Expressions
Overview of QlikView Functions
Aggregation Functions (Sum, Avg, Count, etc.)
String Functions (Left, Right, SubString, etc.)
Date and Time Functions
Using Advanced Expressions
QlikView Scripting Best Practices
Modularizing Scripts with Include Statements
Error Handling in Script
Using Script Control Statements (IF, FOR, WHILE)
Script Debugging Techniques
Best Practices for Efficient Scripting
Security and Administration
Understanding QlikView Security Model
Implementing Section Access
Managing User Permissions
Document and Data Security
QlikView Server and Publisher Overview
QlikView Deployment
Preparing QlikView Applications for Deployment
Optimizing QlikView Performance
Using QlikView Access Point
Managing and Monitoring QlikView Server
Troubleshooting Common Issues
Advanced Topics and Extensions
Introduction to QlikView Extensions
Using QlikView with Big Data Sources
Integrating QlikView with Web Technologies
QlikView and Qlik Sense Comparison
Real-World Use Cases and Best Practices
Capstone Project
Defining a QlikView Project
Data Collection and Preparation
Building Data Model and Visualizations
Implementing Advanced Analytics
Final Presentation and Peer Review
Your Instructors

₹10,000.00
Material Includes
- Videos
- Booklets
Course categories
