Beginner Level
- Introduction to SAP Analytics Cloud
- Objective: Get familiar with the basics of SAC and its environment.
- Key Topics:
- Overview of SAC
- Navigating the interface
- Key concepts: stories, models, and data connections
- Introduction to cloud analytics
- Data Preparation and Exploration
- Objective: Learn how to prepare and explore data in SAC.
- Key Topics:
- Importing and exploring datasets
- Data cleaning and transformation
- Handling missing data
- Creating and managing models
- Basic Story Creation
- Objective: Understand the basics of creating stories and visualizations.
- Key Topics:
- Creating stories and pages
- Adding charts, tables, and other visualizations
- Using filters and input controls
- Basic data analysis and exploration
- SAP Analytics Cloud Essentials Certification Preparation
- Objective: Prepare for the SAC Essentials certification exam.
- Key Topics:
- Core concepts of SAC
- Basic data preparation and story creation
- Best practices for using SAC
Intermediate Level
- Advanced Data Preparation
- Objective: Master advanced data preparation techniques in SAC.
- Key Topics:
- Advanced data transformations
- Creating complex models
- Data blending and enrichment
- Handling large datasets
- Advanced Story and Dashboard Creation
- Objective: Dive deeper into creating complex stories and dashboards.
- Key Topics:
- Advanced visualizations and chart types
- Creating interactive dashboards
- Using advanced features like linked analysis and value driver trees
- Customizing stories with scripting and custom widgets
- Collaboration and Sharing
- Objective: Learn how to collaborate and share insights with others.
- Key Topics:
- Sharing stories and models
- Collaborating with team members
- Setting up and managing user roles and permissions
- Using the SAC calendar for planning and forecasting
- SAP Analytics Cloud Advanced Certification Preparation
- Objective: Prepare for the SAC Advanced certification exam.
- Key Topics:
- In-depth knowledge of SAC features
- Advanced story and dashboard creation
- Real-world case studies and projects
Advanced Level
- Data Integration and Connectivity
- Objective: Integrate SAC with various data sources and systems.
- Key Topics:
- Connecting to SAP and non-SAP data sources
- Live data connections vs. import data connections
- Data integration best practices
- Using APIs and data services
- Advanced Analytics and Predictive Scenarios
- Objective: Implement advanced analytics and predictive scenarios in SAC.
- Key Topics:
- Creating predictive models
- Using machine learning features
- Time series forecasting
- Advanced analytics use cases
- Performance Optimization and Best Practices
- Objective: Optimize the performance of your SAC environment.
- Key Topics:
- Performance tuning and optimization
- Best practices for large datasets
- Monitoring and troubleshooting
- Ensuring security and compliance
- Enterprise Integration and Customization
- Objective: Customize SAC for enterprise-level usage.
- Key Topics:
- Integrating SAC with other SAP solutions (e.g., S/4HANA, BW)
- Customizing SAC with scripting and APIs
- Developing custom applications and widgets
- Enterprise-level deployment and management
Resources and Practice
- Online Courses and Tutorials:
- SAP Learning Hub
- OpenSAP courses
- Books and Documentation:
- “SAP Analytics Cloud: The Comprehensive Guide” by Abassin Sidiq
- SAP Analytics Cloud documentation and whitepapers
- Practice and Hands-on Labs:
- SAP Analytics Cloud Trial for hands-on practice
- Practice projects and case studies
- Kaggle for datasets and competitions
- Communities and Forums:
- SAP Community Network (SCN)
- Stack Overflow
- LinkedIn Groups and other professional networks
By following this guided path, you can progress from a beginner to an advanced SAP Analytics Cloud developer, equipped with the skills needed to handle data preparation, story creation, advanced analytics, and enterprise-level integration using SAC’s comprehensive tools and features.
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