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Comprehensive SAP Analytics Cloud

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Learn Comprehensive SAP Analytics Cloud

Cohort Based Learning – Only 10 Seats
30+ hours of live virtual training
New Age Curriculum with Gen AI tools
3 Real time projects and capstone project
Certification of completion

Why choose Hirekeyz ?

Curriculum

Industry relevant Curriculum

Training

Job-Ready Training

Projects

Capstone projects & case studies

Flexible

Flexible Learning

Team Working

Tools you will learn

NumPy

Matplotlib

Pandas

Excel

Power BI

AWS

Scikit-learn

SQL

Course Syllabus

Module 1: Introduction to SAP Analytics Cloud (2 Hours)

Overview of SAP Analytics Cloud and its place in SAP ecosystem
Key features and capabilities
Architecture and deployment options
SAC licensing and editions overview
User interface walkthrough

Module 2: Getting Started with SAC (3 Hours)

Creating a new SAC tenant and logging in
Overview of SAC navigation and menu options
Understanding roles and permissions
Setting up data connections: live vs import data sources
Connecting to SAP and non-SAP data sources

Module 3: Data Preparation and Modeling (5 Hours)

Importing data into SAC
Data modeling concepts in SAC
Creating models from data sets
Defining dimensions, measures, and hierarchies
Data blending and combining multiple data sources
Managing calculated measures and restricted measures

Module 4: Story Design and Visualization (6 Hours)

Introduction to Stories in SAC
Creating and managing stories
Using charts, tables, and geo maps
Adding filters, input controls, and linked analysis
Customizing layouts and responsive design
Using templates and best visualization practices

Module 5: Advanced Analytics in SAC (5 Hours)

Smart insights and AI-powered analytics
Predictive analytics and planning capabilities
Using Smart Discovery and Smart Predict
Creating and using planning models
What-if analysis and scenario planning
Integration with R and Python (if applicable)

Module 6: Collaboration and Sharing (3 Hours)

Sharing stories and dashboards
Collaboration features: comments, discussions, and notifications
Setting up scheduling and data alerts
Publishing reports and embedding in other applications

Module 7: Planning and Budgeting with SAC (4 Hours)

Overview of planning features in SAC
Creating input-ready models for planning
Version management and workflow processes
Data actions and scripting basics
Integration with SAP ERP and BW for planning

Module 8: Administration and Security (3 Hours)

Tenant administration basics
User and role management
Data security and access control
Audit logs and usage monitoring
Best practices for governance

Module 9: Real-Time Project - Retail Sales and Forecasting (8 Hours)

Project overview and business problem
Data connection and modeling for retail sales data
Creating interactive dashboards and reports
Incorporating predictive analytics for forecasting
Collaborative planning and budgeting workflows
Final presentation and project review

Program Highlights

Experts

Learn from experts

Courses taught by experienced professors and industry professionals.

Certifications

Certification of Completion

Get the best of worlds Hirekeyz's certification.

Gen AI

New Age Curriculum

40+ Hours of learning of new tools, models and projects.

Learning Tools

Interactive Learning Tools

Access to videos, quizzes, and discussions for an engaging learning experience.

Affordable Fees

Affordable Tuition Fees

Access quality education without the high cost of traditional classrooms.

24/7 Access

24/7 Access to Study Material

Get access to recorded videos and assessments.

Who Should Do The Comprehensive SAP Analytics Course?

Aspiring Analysts
Individuals looking to start a career in data analysis or analytics-related fields.
Career Changers
Professionals from non-technical backgrounds eager to transition into the high-demand field of data analytics.
IT & Engineering Graduates
Students or professionals with technical degrees who want to specialize in data analysis.
Business Professionals
Managers or executives aiming to make data-driven decisions and enhance business outcomes.
Freelancers & Consultants
Professionals who want to offer data analysis as a service to clients.
Upskilling Professionals
Those in adjacent fields like marketing, finance, or operations who want to add data analytics to their skill set.

Hirekeyz Certifications

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