QLICKVIEW

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Last Update July 10, 2024
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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

70 Lessons15h 15m

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

Data Loading and Scripting

Data Modeling

Creating Visualizations

Advanced Visualization Techniques

Scripting and Data Transformation

Data Analysis and Reporting

QlikView Functions and Expressions

QlikView Scripting Best Practices

Security and Administration

QlikView Deployment

Advanced Topics and Extensions

Capstone Project

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QLICKVIEW
Free
Level
All Levels
Duration 15.3 hours
Lectures
70 lectures
Subject
Language
English

Material Includes

  • Videos
  • Booklets
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