Data Analytics using Qlik Sense Training

Data Analytics using Qlik Sense Course Overview

The Data Analytics using Qlik Sense course is a comprehensive learning path designed for individuals seeking expertise in Qlik Sense for performing data analytics. By delving into this course, learners will gain a robust understanding of how Qlik Sense stands out from QlikView and the significance of self-service BI tools. They will explore its intuitive interface for creating dynamic dashboards and reports along with practical skills such as data modeling, Creating data architectures, and mastering advanced data modeling techniques.

Armed with the knowledge from this course, learners will excel in harnessing Qlik Sense for insightful data discovery, Visual analytics, and collaboration among team members, thereby enhancing their data-driven decision-making capabilities in the business landscape.

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Course Prerequisites

To ensure that you can successfully undertake the Data Analytics using Qlik Sense course and gain the most from it, the following are the minimum required prerequisites:

Basic Understanding of Data Concepts: Familiarity with the basic concepts of data and its importance in business decision-making.
Familiarity with Business Intelligence: An understanding of what business intelligence (BI) is and why it is beneficial to organizations.
Interest in Data Visualization: A keen interest in visualizing data and extracting insights from visual representations.
Elementary Computer Literacy: Competence in using a computer, managing files, and navigating through software interfaces.
Basic Knowledge of Data Handling: Understanding of how data can be sourced, manipulated, and organized for analysis.
Problem-Solving Skills: An analytical mindset and the ability to think critically to solve problems using data.
Willingness to Learn: A readiness to engage with new tools and concepts related to data analytics and visualization.

No prior experience with Qlik Sense or QlikView is required, as the course will cover the necessary foundations of these tools. However, those with experience in other BI tools or data analytics may find it easier to grasp the concepts introduced in the course.

Target Audience for Data Analytics using Qlik Sense

Koenig Solutions' Data Analytics using Qlik Sense course is designed for professionals seeking expertise in dynamic data visualization and analytics.

Data Analysts
Business Intelligence Professionals
Business Analysts
Data Science Enthusiasts
IT Analysts
BI Developers
Reporting Professionals
Data Visualization Specialists
Project Managers overseeing BI tasks
Professionals looking to transition into data-centric roles
QlikView Developers upgrading to Qlik Sense
System Administrators managing BI tools
Database Professionals aiming to enhance their reporting skills
Product Managers requiring analytics for product performance tracking
Marketing Managers needing insights from customer data
Financial Analysts seeking advanced reporting tools
Quality Assurance Specialists involved in data validation and visualization
Data Architects
Students pursuing a career in data analytics or business intelligence

Learning Objectives - What you will Learn in this Data Analytics using Qlik Sense?

Introduction to Learning Outcomes:

The Data Analytics using Qlik Sense course equips learners with comprehensive skills in data visualization, modeling, and analytics to create insightful dashboards and reports using Qlik Sense tools.

Learning Objectives and Outcomes:

Understand the differences between Qlik Sense and QlikView and the importance of self-service BI tools.
Master the drag-and-drop visualization features and the Qlik Data indexing engine for effective data handling.
Learn data modeling best practices to efficiently transform and relate data within Qlik Sense.
Develop ability to create a robust data architecture, including conversion of QlikView files and managing synthetic keys and circular references.
Gain expertise in advanced data modeling techniques, such as using star schema, link tables, and creating optimized data models.
Explore Qlik Sense Enterprise tools for rapid app development, Big Data integration, and maintaining enterprise security.
Create compelling visualizations with Qlik Sense charts, maps, and storytelling features for enhanced data presentations.
Acquire skills in set analysis for complex comparative and point-in-time analyses to extract deeper insights.
Learn to build and test mashups and extensions to extend Qlik Sense capabilities and create custom visual experiences.
Understand security mechanisms within Qlik Sense, including content security, security rules, and dynamic data reduction strategies.

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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 Labs)	28,359 (INR)

Data Analytics using Qlik Sense Course Overview

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Koenig's Unique Offerings

Course Prerequisites

Target Audience for Data Analytics using Qlik Sense

Learning Objectives - What you will Learn in this Data Analytics using Qlik Sense?

Introduction to Learning Outcomes:

Learning Objectives and Outcomes:

Suggested Courses

Data Analytics using Qlik Sense Course Overview

1,800 ♱

1,450 ♱

♱

Fee On Request

Filter By:

Request More Information

Koenig's Unique Offerings

Course Prerequisites

Target Audience for Data Analytics using Qlik Sense

Learning Objectives - What you will Learn in this Data Analytics using Qlik Sense?

Introduction to Learning Outcomes:

Learning Objectives and Outcomes:

Suggested Courses

1,800^♱

1,450^♱

^♱