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The SACS21: SAP Analytics Cloud: Story Design course is a comprehensive educational offering that equips learners with the knowledge and skills necessary to create compelling data stories using SAP Analytics Cloud (SAC). It covers the entire process of Story creation, from selecting Data sources to presenting the final story on various platforms, including Mobile devices and SAP Digital Boardroom.
Participants will learn about the Optimized and classic design modes, how to build stories from templates or using files, configure story elements like tables, charts, and widgets, and apply Conditional formatting. The course also delves into data manipulation techniques such as sorting, filtering, blending, and calculations within stories. Additionally, it emphasizes best practices in design and formatting to ensure high-quality presentations.
By completing the SACS21 course, learners will be able to design SAP stories that effectively communicate insights, supporting better data-driven decision-making in their organizations.
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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) |
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Sure, here are the minimum required prerequisites for the SACS21: SAP Analytics Cloud: Story Design course, formatted in bullet points to be included in the FAQ section of the website:
Please note that while having a background in data analysis and reporting will be beneficial, the course is designed to accommodate participants who are new to SAP Analytics Cloud, as it covers the foundational elements of story design within the platform.
SACS21: SAP Analytics Cloud: Story Design is a course tailored for professionals who leverage data visualization and analytics in their decision-making processes.
The SACS21: SAP Analytics Cloud: Story Design course equips learners with the skills to create compelling stories using SAP Analytics Cloud, focusing on design techniques, data manipulation, and presentation best practices.