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Home / Salesforce Academy / Data 360 / Salesforce Data Platform Foundations
AI, Data & Analytics · Learning Path F

Data 360 / Salesforce Data Platform Foundations
Training Course

Understand how customer data from different sources can be ingested, mapped, harmonised, unified, governed, and activated for business use. Explore identity resolution, unified profiles, data quality, privacy, and the role of trusted data in AI-enabled workflows.

Duration: 5–7 weeksGuided hours: 35–45 hoursLevel: Intermediate
✓Data ingestion and harmonisation
✓Data mapping and identity resolution
✓Data quality and governance
✓Hands-on project and review
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Practical learning pathProject-led curriculumCareer guidance available
Role-basedlearning path ✧Hands-onprojects & labs
6Core modules
35–45 hoursGuided learning
1+Practical project
Course overview

What you will learn in this Data 360 / Salesforce Data Platform Foundations program

Customer data becomes more useful when teams can understand its origins, relationships, quality, and permitted use. This course emphasises data-flow design and governance alongside platform concepts.

Skills covered

  • Data ingestion and harmonisation
  • Data mapping and identity resolution
  • Data quality and governance
  • AI grounding and activation concepts

Who should join?

Data analysts, Salesforce administrators, architects, and AI implementation teams. The learning path can be adjusted to the learner’s starting level after an initial discussion with the training team.

Before you enrol

Prerequisites & learning approach

SQL and data-modelling concepts are helpful.

  • Instructor-led concept sessions and guided demonstrations.
  • Practice tasks and scenario-based discussions.
  • Project documentation and review checkpoints.
  • Interview preparation or certification-aligned revision where relevant to the chosen track.

Duration is a recommended planning estimate. Final hours and lab access should be confirmed for the selected cohort.

Module-wise curriculum

Data 360 / Salesforce Data Platform Foundations syllabus

Study the learning sequence below. Module delivery order may be adjusted to the cohort’s background and the available Salesforce training environment.

Ask for batch details →
M1

Data platform concepts

Data sources, ingestion, harmonisation, identity resolution and unified customer profiles.

M2

Data modelling and mapping

Source fields, data model objects, relationships, mappings and data quality.

M3

Data integration and activation

Batch/streaming concepts, connectors, calculated insights and activation use cases subject to available product features.

M4

Data governance

Consent, access control, lineage concepts, retention, privacy and responsible data handling.

M5

AI grounding and use cases

Trusted business context for AI, retrieval concepts, segmentation and service/sales activation.

M6

Capstone and architecture

Create a source-to-profile data flow and explain operational, privacy and cost trade-offs.

Applied learning

Practical project: build and explain a real business scenario

Create a source-to-unified-profile data-flow design, including field mapping, identity-resolution assumptions, governance controls, and activation use cases.

Requirements / scenarioGuided configuration or designTesting & validationProject walkthrough
Career relevance

Roles this learning path can support

The following are example role directions aligned with the skills taught. Hiring requirements differ by employer, experience, communication skills, and hands-on ability.

Salesforce Data Consultant Trainee
Customer Data Analyst
Data Platform Business Analyst
Common questions

FAQs about Data 360 / Salesforce Data Platform Foundations

Is Data 360 the same as Data Cloud?

Salesforce documentation notes that Data Cloud was rebranded to Data 360. Course owners should use current naming and documentation when updating lessons.

Is SQL necessary?

SQL and data-modelling familiarity are useful, particularly for understanding source data and mapping.

Will paid Data 360 features be available?

No paid features are assumed. Practical labs must be verified against the authorised org, edition, and licences available to the cohort.

Is an official Salesforce certification included?

The course may include certification-aligned preparation, but it does not issue an official Salesforce credential. Check the current official exam guide, registration process, prerequisites, and fees separately.

Ready to explore Data 360 / Salesforce Data Platform Foundations?

Request the full curriculum, current delivery options, prerequisites, and the next available batch details from 4Achievers.

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