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SAP Analytics Cloud: Analytics Designer Course Overview

SAP Analytics Cloud: Analytics Designer Course Overview

Overview of SAP Analytics Cloud: Analytics Designer Course

Koenig Solutions presents the SAP Analytics Cloud: Analytics Designer course, designed to empower learners with advanced skills in creating interactive dashboards and applications. During this course, participants will:

- Understand the Fundamentals of SAP Analytics Cloud and Analytics Designer.
- Master Application Design & Layout Techniques.
- Delve into Advanced Scripting for sophisticated application behaviors.
- Learn to Optimize Performance, ensuring seamless user experiences.
- Explore options for Exporting and Distribution of applications.
- Discover methods for Embedding Visualizations and Using Smart Features.
- Integrate external data sources through OData Calls and RSS Feeds.

By the end of this course, you'll be proficient in leveraging the full potential of SAP Analytics Cloud to design, manage, and distribute high-performance analytical applications.

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  • Live Training (Duration : 24 Hours)
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  • Classroom Training fee on request
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  • Live Training (Duration : 24 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Target Audience for SAP Analytics Cloud: Analytics Designer

Introduction:
The SAP Analytics Cloud: Analytics Designer course (SACAD1) is designed for individuals seeking to leverage advanced data analytics and application design within SAP Analytics Cloud.


Target Audience and Job Roles:


  • Data Analysts
  • Business Intelligence (BI) Developers
  • Data Engineers
  • SAP BW Developers
  • IT Consultants
  • Application Developers
  • BI Managers
  • Data Scientists
  • SAP Solution Architects
  • Technical Leads
  • Data Visualization Specialists
  • Performance Analysts
  • Software Engineers
  • SAP Functional Consultants
  • Business Analysts
  • Report Developers
  • IT Project Managers


Learning Objectives - What you will Learn in this SAP Analytics Cloud: Analytics Designer?

Introduction:

The SAP Analytics Cloud: Analytics Designer (SACAD1) course enables students to master creating and managing applications using SAP Analytics Designer, covering both basic and advanced techniques, scripting, performance optimization, and integration with external data.

Learning Objectives and Outcomes:

  • Describe and use the SAP Analytics Designer
  • Create your first application and define its layout
  • Utilize navigation options for enhanced application usability
  • Implement basic and advanced scripting capabilities
  • Understand and handle prompts within applications
  • Use and create themes for dynamic application layouts
  • Apply performance best practices for optimized applications
  • Export applications and schedule publications
  • Embed R-visualizations and use smart features in your applications
  • Integrate external information using RSS feeds, OData calls, and postMessage API

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