SAP Analytics Cloud Training (Reporting, Dashboards & Planning)
Turn SAP data into decisions: connections and models, stories and dashboards, calculations and hierarchies, geo and advanced visualisation, planning with versions and data actions, predictive scenarios, Analytics Designer applications, and publishing with the right security.
SAP Analytics Cloud training teaches you to build reporting, dashboards and planning on SAP's cloud analytics platform. You configure live and import connections to S/4HANA, Datasphere and BW, build models with dimensions, hierarchies and measures, create stories with charts, tables and geo maps, write calculations and restricted measures, implement planning with versions, data actions and allocations, use predictive scenarios and smart features, build guided applications in Analytics Designer, and manage security and publication.
Who this course is for
Prerequisite: Comfort with data and business reporting. No SAP or coding experience required, though data modelling awareness helps.
What makes this different
You configure, not just watch
From the first session you are in a live SAP practice system doing the configuration yourself, with IMG paths, master data and test transactions. That is what makes it stick.
Taught on the current release
No ECC-era screenshots pretending to be current. Everything is shown on S/4HANA and the current cloud releases, including Fiori where the classic GUI screen has been replaced.
One consultant for the whole batch
One working SAP consultant teaches the full course, no rotation, so the configuration story stays consistent from first session to go-live simulation.
Support continues to the offer
Resume rewriting for SAP roles, mock interviews on real implementation scenarios, and referrals. Support does not stop when the last class ends.
Curriculum
7 modules and 3 projects, updated to the current release. Every module maps to real SAP Analytics Cloud work and expands into its full topic list, practised on a live developer instance.
SAP Analytics Cloud Training (Reporting, Dashboards & Planning) module list: 7 modules, what each one covers, and how many topics it expands into. Full topic lists are in the accordions below.
| # | Module | What you configure | Topics |
|---|---|---|---|
| 01 | SAC foundations and connections | Set the platform up correctly, because the connection choice constrains everything after it. | 8 |
| 02 | Modelling in SAC | Build models that support the analysis you need. | 8 |
| 03 | Stories and visualisation | Build the artefacts users actually open. | 8 |
| 04 | Calculations and analysis | Answer the questions the raw model does not. | 8 |
| 05 | Planning | Use SAC as a planning tool, which is where much of its differentiation lies. | 8 |
| 06 | Predictive and smart features | Add forecasting and augmented analytics without a data science team. | 8 |
| 07 | Analytics Designer, security and deployment | Move from a story to a governed application in production. | 8 |
1SAC foundations and connections
Set the platform up correctly, because the connection choice constrains everything after it.
- SAC capabilities: BI, planning, predictive
- Tenant setup, users and teams
- Live versus import connections and their trade-offs
- Connecting to S/4HANA embedded analytics
- Connecting to Datasphere and BW
- Connecting to non-SAP sources
- Data acquisition and scheduling
- Governance of connections
2Modelling in SAC
Build models that support the analysis you need.
- Model types: analytic and planning
- Dimensions, measures and attributes
- Hierarchies: level based and parent child
- Currency conversion and units
- Model preferences and data locking
- Data wrangling and transformation on import
- Public versus private dimensions
- Model performance considerations
3Stories and visualisation
Build the artefacts users actually open.
- Story structure: pages, sections, responsive layout
- Chart types and when each is appropriate
- Tables, cross tabs and drill behaviour
- Filters, input controls and linked analysis
- Geo maps and location data
- Conditional formatting and thresholds
- Story design principles for readability
- Mobile and responsive design
4Calculations and analysis
Answer the questions the raw model does not.
- Calculated and restricted measures
- Aggregation, exception aggregation and context
- Time-based calculations and variance
- Rolling and cumulative measures
- Cross calculations
- Formula editor patterns
- Handling null and division cases
- Debugging a wrong number methodically
5Planning
Use SAC as a planning tool, which is where much of its differentiation lies.
- Planning models and versions
- Public and private versions and version management
- Data entry, spreading and distribution
- Data actions and advanced formulas
- Allocation processes
- Calendar, tasks and workflow
- Value driver trees
- Integration with financial planning processes
6Predictive and smart features
Add forecasting and augmented analytics without a data science team.
- Smart Insights and Smart Discovery
- Search to Insight
- Predictive scenarios: classification, regression, time series
- Training and validating a predictive model
- Applying predictions in a story
- Just Ask and natural language querying
- Explaining predictions to the business
- Limits of automated analytics
7Analytics Designer, security and deployment
Move from a story to a governed application in production.
- Analytics Designer applications and scripting basics
- Widgets, events and popups
- When an application beats a story
- Roles, teams and object sharing
- Data access control and row-level security
- Scheduling, publication and distribution
- Content transport between tenants
- Adoption and performance monitoring
What you'll be able to do
Real projects you'll build
Interview-ready scenarios on a live instance, not toy demos.
Executive dashboard
Build a responsive story on a live connection with KPIs, variance analysis, drill-down and geo visualisation, designed to be readable in under ten seconds.
Planning application
Create a planning model with versions, build a data entry story with spreading, and implement a data action and an allocation for cost distribution.
Predictive forecast
Train a time series predictive scenario on historical data, evaluate its quality and present the forecast alongside actuals in a story.
Certification and hands-on
Every session runs in a live SAP practice system, so you configure and test rather than watch. The course maps to C_SAC_2501, SAP Certified Associate, Data Analyst, SAP Analytics Cloud, and finishes with an IT Canvass certificate plus a certification roadmap. IT Canvass does not issue the official SAP credential.
SAP certification is role-based and delivered through SAP Learning. Most exams sit at Associate level (implementation or development consultant for a specific solution), with Specialist exams for narrower scopes and Professional exams for architects and experienced consultants. Exams are booked through SAP Certification Hub or as a single exam; SAP re-versions exams with each release, so always confirm the current code before booking.
Certification facts. Vendor figures change, so confirm against the official SAP catalogue before booking.
| Exam code | C_SAC_2501 |
|---|---|
| Credential | SAP Certified Associate, Data Analyst, SAP Analytics Cloud |
| Issued by | SAP SE (not by IT Canvass) |
| Exam duration | 180 minutes |
| Exam cost | US$560 single exam, or included in a SAP Learning Hub subscription |
| Prerequisite | No formal prerequisite. SAP recommends hands-on project exposure before the exam. |
| What IT Canvass issues | An IT Canvass course completion certificate and a certification roadmap |
Tools and transactions you will actually use
The screens and apps you will have open every day in this role. You practise in each of them during the course.
Charts, tables, filters and layout. The tool you spend most of your time in.
Analytic and planning model creation, dimensions, hierarchies and currency.
The planning engine: advanced formulas, spreading and distribution.
Scripted analytic applications for guided, interactive use cases.
Time series, classification and regression models with quality metrics.
Roles, teams, data access control and content transport.
Your SAP Analytics Cloud career roadmap
Five stages on the SAP data and analytics track, with indicative 2026 bands.
Salary snapshot: SAP Analytics Cloud Consultant
Indicative ranges aggregated from public salary data. Actual pay varies by location, employer and experience.
A day in the life of a SAP Analytics Cloud Consultant
What the job is really like once you are in it, so you know what you are training for.
Who hires SAP people
SAC is the front end for SAP's analytics strategy and the planning capability makes it sticky in finance. Consultants who can do both BI and planning are notably more employable than those who only build charts.
Employer types and named companies are shown as examples of where this skill is used.
How IT Canvass compares
Against a typical training provider, this SAP Analytics Cloud course is taught on the current SAP release rather than recycled ECC material, gives you hands-on time in a live practice system from the first session, and keeps one working consultant for the whole batch instead of rotating trainers. Every module is mapped to the C_SAC_2501 scope, sessions are recorded with lifetime access, and job support (resume rewriting for SAP roles, mock interviews and referrals) is included in one transparent fee. Most providers still teach screen-by-screen navigation with no configuration practice, and bill system access, support and recordings as add-ons.
Fees and training modes
Choose how you want to learn SAP Analytics Cloud. No-cost EMI available on all modes.
Interactive live batches, weekday or weekend, with the full cohort and lifetime recordings.
Private one-on-one coaching at your pace, whether you need interview-ready fast or hands-on help with your current project.
Learn on your own time with recorded sessions, labs and Q&A doubt support.
Train your team on SAP Analytics Cloud
Tailored curriculum, flexible scheduling, a dedicated SAP consultant, and progress reporting for your managers. Delivered live online or on-site for cohorts of any size, with practice-system access for every learner.
Your trainer
Arjun, SAP Solution Architect, 14+ years
I still deliver S/4HANA implementations and rollouts for manufacturing and retail clients, so I teach from the configuration decisions and cutover problems that are live this quarter, not from a slide deck. In class I show the IMG path, the master data behind it, and the test transaction that proves it works.
Trainer profile placeholder. Final trainer name, bio and credentials to be confirmed.
Learner reviews
The planning module is what set this apart. Data actions and allocations are where the real client work is.
Live versus import was explained properly, with the consequences. That decision had been causing us performance pain for a year.
Analytics Designer was a revelation. We replaced three fragile stories with one guided application.
Fees, batches and policies
The questions people actually ask before enrolling, answered plainly.
What is the total fee and what does it include?
What are the batch timings, and do they work outside India?
What happens if I miss a session?
How long do I keep access to the recordings?
Is there a refund if the course is not right for me?
Is the certificate issued by SAP?
Frequently asked questions
Is SAC only for SAP data?
Live or import connection, which is better?
Do I need Datasphere or BW knowledge?
Is the planning capability worth learning?
Which certification does this prepare me for?
Is there tenant access?
Free SAP Analytics Cloud tutorials to read first
Start with these free lessons, then bring your questions to class.