+91 99893 03344
Follow Us:

SAP SAC Certification Training

4.5

100+ Learners

SAP Analytics Cloud (SAC) brings together the analysis, planning, forecasting and visualisation of data in one tool. It combines a world-class business intelligence (BI) system with business planning, including the use of artificial intelligence and machine-learning technologies.

SAP - SAC

Key Highlights

Learn from industry experts who are passionate about teaching.

Instructor-led live sessions.

Industry-Specific Curriculum.

Flexible schedules for working professionals.

Real-life Case Studies.

24 x 7 Lifetime Support & Access.

60 Hrs Project Work & Exercises.

Certification and Job Assistance.

Curriculum

  • Overview and Positioning of SAP Analytics Cloud
  • Analytics Cloud Architecture Overview
  • Benefits and core functionalities of SAC
  • SAC vs other BI tools
  • Cloud vs On-Premises vs Hybrid
  • Analytics Cloud Client tools and Importance
  • Product Navigation and Fundamentals
  • Data Model
  • Working with Dimensions and measures Model and its Components
  • Working with Variables and Transformations
  • What is Data Blending
  • Designing SAC Stories
  • Working with Custom Templates
  • Working with Standard Templates
  • Working with Canvas-Responsive and Grid modes
  • Working with Designer (Builder panel, Styling Panel)
  • Filters in SAC
  • Query level filters
  • Story level
  • filters
  • Page-level filters
  • Widget level filters
  • Advanced Filters
  • Linked Analysis
  • Hyperlinking
  • Conditional Formatting
  • Customizing Measures
  • Customizing Dimensions
  • Data blending
  • Working with Chart widget
  • Working with a Table widget
  • Working with Geo Map widget
  • R language basics
  • Generating R based Stories
  • Import data connection from Google drive
  • What is Augmented
  • Analytics
  • Smart Search
  • Smart Discovery
  • Smart Insights
  • How to develop planning data models in SAC
  • Understand measures, accounts, hierarchies, currency conversion
  • Manage versions of planning
  • Create planning stories
  • Planning functions – variance, forecast, version management
  • What if analysis
  • Inheritance
  • Allocations
  • Spreading and Distributions
  • Value Driver Tree- VDT
  • Data actions and insights
  • Live Data connection’s
  • Collaboration
  • Predictive scenario overview
  • SAC Stories vs SAC Applications vs SAC Predictive
  • Working with Datasets, Variables
  • Understand Regression
  • Understand Logistic Regression, RoC Curves, AUC Curve
  • Model performance and Confusion Matrix
  • Profit Simulation for Classification
  • Implementing Classification Precative Model
  • Implementing Regression Predictive Model
  • Residual and MAPE Concept in Regression
  • Trend, Cycle, Residual and Variations concepts
  • Implementing a Time series Predictive Model
  • Generating predictive stories
  • SAC Administration
  • Overview Roles (Standard vs Custom)
  • Team
  • Users
  • Working with data loading and scheduling
  • Cloud connector
  • Analytics Cloud Agent
  • 40
    Hrs of Extensive Training
    8+ 12
    Modules/Tools
    Free Career Guidance



    Qradar job demand increased to 80% from previous years
    Qradar are preferred by Global Tech firms
    Qradar prediction will increase by 70% by the end of 2025
    60% of the cloud job postings ask for skills in Qradar
    Average salary of Qradar Developer $5018,030