Do I need Salesforce experience before this course?

Either Salesforce experience or data experience — not necessarily both. Analysts and BI professionals learn the platform here; administrators learn the analytical depth. If you have neither, take the Administrator course first, because this course assumes you can navigate an org or read a dataset without help on one of the two sides.

What is Data Cloud, and do I need it?

Data Cloud unifies customer data from Salesforce and external systems into resolved profiles that other tools — including Agentforce — can use. It is a substantial commitment in both cost and complexity. This course covers it honestly, including the advice we would give many organisations: fix core data quality first, because unifying poor data produces unified poor data.

Is CRM Analytics the same as Tableau?

No, and the distinction matters in interviews. CRM Analytics is Salesforce's native analytics platform, tightly bound to the org with its own dataflows and its own security model. Tableau is a general visualisation platform Salesforce acquired, which connects to many sources. This course covers both and gives you a rule for choosing between them and standard reports.

Why does data quality matter more now than it used to?

Because Agentforce grounds AI agents on your org and unified data. An agent answering from poor data is worse than no agent — it is confidently wrong at scale. That has moved data quality from unglamorous maintenance to the dependency everything else waits on, which is the single strongest argument for this specialisation in 2026.

Which certification does this path lead to?

Data Cloud Consultant and the CRM Analytics credentials are the closest role-based fits, and this course prepares for both. The Administrator credential is worth holding first if you came from a data rather than a Salesforce background, because it demonstrates the platform literacy these exams assume.

Will I work with real, messy data?

Yes, deliberately. You load an imperfect dataset in week one — duplicates, inconsistent picklists, orphaned records — and it stays with you for the rest of the course. Clean sample data teaches you the tool and not the job, and the first month of a real data role is almost entirely about the mess.

Is the Salesforce certification exam fee included in the course fee?

No, and you should be wary of any institute that says it is. Salesforce exams are booked and paid directly with Salesforce at their published price, and the credential is issued in your name by Salesforce. Our fee covers training, your practice org, mock exams and preparation. Bundling the two obscures who is certifying you.

Is an institute certificate the same as a Salesforce certification?

No. We issue a course completion certificate; Salesforce issues the certification, and only the second one carries weight in the market. Ask this plainly of any institute you are considering: is the certification issued by Salesforce, or by you? If the answer is unclear, that is your answer.

Are weekend or online batches available?

Yes. The weekend track runs Saturday and Sunday mornings over a slightly longer calendar, and live online runs weekday evenings, both with the same content, the same trainer review of your work and the same placement support. Batch dates are shared through the contact form, on WhatsApp, or on +91 9850 678451.

Is placement assistance included in the fee?

Yes, with no separate charge, and it runs for six months after the course ends. It covers resume and LinkedIn rewriting, rehearsing your project walkthrough, mock interviews, certification-readiness checks and introductions to partner companies. We do not guarantee placement — the institute-records rate is 90% across all tracks, measured on learners who complete training and clear at least one mock round.

Back to Salesforce

Salesforce

Salesforce Data and Analytics Course in Pune — CRM Analytics, Data Cloud, Tableau

Name: Archer Infotech
Address: Flat No. 12, Divyadarshan Housing Society, behind Kothrud Bus Stand Road, near Natraj Gas Agency, Londhe Wada, Chaitanya Nagar, Pune, Maharashtra, 411038, IN
Telephone: +91 9850 678451
Price range: ₹₹

Pune's trusted Salesforce Data classes at the Archer Infotech institute, Kothrud — weekday, weekend and online batches with placement assistance.

Data modelling and quality, reporting to analytical depth, CRM Analytics, Data Cloud and Tableau on the Salesforce platform — taught against realistic messy data, with the governance that Agentforce and AI features now depend on.

4.9 from 24 Google reviews

Trained: 10000+
Placed: 5000+
Placement rate: 90%
17+ years: Since 2009

3 Months

Intermediate

Online & Offline

Curriculum last reviewed: 11 June 2026

Reviewed by Yogesh Patil, Founder & Director

Interested in this course?

Get in touch with us to learn more about the curriculum, batch timings, and fees.

Enquire Now +91 9850 678451

Next batch starting soon!

What is the Salesforce Data & Analytics course in Pune?

In short — Built for freshers and working professionals with basic programming familiarity: a 3-month path from fundamentals to job-ready Salesforce Data & Analytics skills, taught at our Kothrud, Pune centre or live online, with placement assistance and real project work you can show an interviewer.

Salesforce Data & Analytics training at Archer Infotech is a 3-month intermediate programme in Pune. It runs as classroom batches at the Kothrud centre and as live online batches, using the same curriculum and trainers. The syllabus covers 9 modules and includes hands-on project work. It prepares learners for roles such as Salesforce Data Analyst, CRM Analytics Consultant and Data Cloud Consultant. Archer Infotech has trained IT professionals in Pune since 2009 and reports a 90% placement rate across learners who complete training. Fees, batch dates and EMI options are shared on request; a free demo class is available before enrolling.

Our Salesforce Data students get placed at

Tech Mahindra

TCS

Infosys

Wipro

Cognizant

Accenture

Capgemini

Persistent Systems

e-Zest Solutions

L&T Infotech

VSpace Software

iVision Software

And many more — 100+ corporate partners hiring across Pune and India.

Salesforce Data & Analytics is the path for people who care about what the data says rather than how the screen looks. It covers data modelling and quality, reporting and dashboards to real analytical depth, CRM Analytics, Data Cloud for unifying customer data across systems, Tableau, and the integration and migration work that feeds all of it. Three months, taught in your own org against realistic messy data, finishing with an analytics build you can demonstrate. Suited to data analysts, BI professionals and Salesforce administrators moving deeper.

Why Learn Salesforce Data & Analytics in Pune in 2026

Every Salesforce org accumulates data faster than anyone maintains it, and the gap between having data and being able to answer a question with it is where this role lives. Pune's services majors and consulting partners both staff data-focused Salesforce people on larger deliveries, and the demand has grown sharply as Data Cloud and Agentforce have made data quality a blocking dependency rather than a background concern.

The path suits two populations well. Data analysts and BI professionals already have the analytical craft and need the platform: the object model, reporting constraints and how Salesforce data actually behaves. Salesforce administrators already have the platform and need the analytical depth. Either direction is a shorter move than starting from nothing, which is why our career guide names both.

The strategic argument is Agentforce. Salesforce has moved decisively toward an agent-first platform, and an agent grounded on bad data is worse than no agent. That has turned data quality, unification and governance from unglamorous maintenance into the thing everything else now depends on — and it is the reason this specialisation has become considerably more valuable than it was two years ago.

Suits data analysts and BI professionals moving into the ecosystem
Equally suits Salesforce administrators wanting analytical depth
Covers CRM Analytics, Data Cloud and Tableau, not just standard reports
Data quality is now the blocking dependency for Agentforce and AI
Taught against realistic messy data rather than clean sample sets
Indicative 3–5 year band ₹10–20 LPA

Who should take this Salesforce Data & Analytics course?

For You If

Data analysts and BI professionals moving into the Salesforce ecosystem
Salesforce administrators who want analytical and data depth
Reporting and MIS professionals in organisations running Salesforce
Data engineers working on customer data platforms
Anyone whose interest is in what the data says rather than what the interface does

Not For You If

Complete beginners with neither data nor Salesforce background — start with Administrator
Anyone wanting to build application features; the Developer path fits better
Learners looking for a purely business-facing role, since this one is genuinely technical

What does the Salesforce Data syllabus cover?

Nine-stage Salesforce Data and Analytics learning path taught at Archer Infotech Pune: the Salesforce data model and platform foundations; data quality, governance and stewardship; reports and dashboards to analytical depth; data migration, loading and integration; CRM Analytics with datasets, recipes and row-level security; Data Cloud fundamentals covering ingestion, identity resolution and segmentation; Tableau and visual analytics; an analytics build with certification preparation; and AI and Agentforce with the data they require. — The order this course is taught in — the data model and its quality before anything is built on top. Each stage expands into the modules below.

Salesforce Data Model & Platform Foundations

Week 1

The platform from a data perspective. Objects, fields and relationships as a schema; standard object relationships in Sales and Service Cloud; record types and how they complicate reporting; and the security model, because record visibility silently changes every number a report produces.

You set up your own org and load a deliberately imperfect dataset that the rest of the course works against.

Objects, fields and relationships as a schemaStandard Sales and Service Cloud data relationshipsRecord types and their reporting consequencesSharing, visibility and how they change report totalsData types, precision and formula fieldsSetting up your own org and loading real dataSchema Builder and documenting a modelWhere Salesforce data differs from a warehouse

Data Quality, Governance & Stewardship

Week 2

The unglamorous foundation everything else rests on. Profiling a dataset to find what is actually wrong with it; duplicate and matching rules; validation and picklist governance; and the ownership question — who is accountable for a field being correct.

The discipline taught is measurement: a data quality dashboard that reports completeness, validity and duplication over time turns an opinion into a metric someone can be held to.

Profiling a dataset and finding what is wrongDuplicate rules, matching rules and merge strategyValidation rules and picklist governanceRequired-field policy and its costData ownership and stewardshipCompleteness, validity and consistency metricsBuilding a data quality dashboardRemediation planning and prioritisation

Reports & Dashboards to Analytical Depth

Weeks 3–4

Standard reporting taken well past where most administrators stop. Custom report types, which are usually the missing piece when a report cannot be built; joined reports; cross filters; bucketing; row-level formulas; and summary formulas with the PARENTGROUPVAL functions people rarely reach for.

Dashboards cover dynamic dashboards, running-user context and its data-leak risk, filters and subscriptions. The framing throughout is starting from the question rather than the builder.

Custom report types and why reports fail without themJoined reports and multiple blocksCross filters and filter logicBucketing and row-level formulasSummary formulas and PARENTGROUPVALDynamic dashboards and running userRunning-user context as a data-leak riskSubscriptions, scheduling and deliveryStarting from the question, not the builder

Data Migration, Loading & Integration

Week 5

Getting data in and out reliably. Data Loader and the Bulk API for volume; external IDs and upsert; sequencing loads so relationships resolve; and the reconciliation step that proves a migration actually worked rather than merely finished.

Integration covers the patterns that feed analytics: scheduled extracts, event-driven updates, Change Data Capture, and external objects with Salesforce Connect for data that should not be copied at all.

Data Loader, Bulk API and volume handlingExternal IDs and upsert semanticsLoad sequencing and relationship resolutionReconciliation and proving a migration workedError handling and partial failureScheduled extracts and ETL patternsChange Data Capture and event-driven updatesExternal objects and Salesforce Connect

CRM Analytics

Weeks 6–7

Salesforce's analytics platform, for the questions standard reports cannot answer. Datasets, dataflows and recipes; joining Salesforce data with external sources; SAQL basics; lenses, dashboards and bindings.

Security gets particular attention because CRM Analytics has its own sharing model that does not inherit from the org automatically — a genuine source of accidental exposure. You build a dashboard answering a question that standard reporting cannot.

Datasets, dataflows and recipesJoining Salesforce and external dataSAQL basics and when you need itLenses, dashboards and bindingsRow-level security in CRM AnalyticsWhy it does not inherit org sharingScheduling and dataset refreshChoosing between standard reports and CRM Analytics

Data Cloud Fundamentals

Week 8

Unifying customer data across systems, which is the capability Agentforce and modern personalisation depend on. Data streams and ingestion; the data model and mapping to it; identity resolution and how a unified profile is actually assembled; calculated insights and segmentation.

Covered honestly, including cost and complexity: Data Cloud is a substantial commitment and the right advice for many organisations is to fix their core data quality first.

Data streams and ingestion sourcesThe Data Cloud data model and mappingIdentity resolution and unified profilesCalculated insightsSegmentation and activationData Cloud with Sales and Service CloudCost and complexity considerationsWhen to fix core data quality first

Tableau & Visual Analytics

Week 9

Visualisation as a communication discipline. Connecting Tableau to Salesforce data; the grammar of building a view; calculated fields, table calculations and level-of-detail expressions; and dashboard design that answers a question rather than displaying everything available.

The standard taught is that a chart which requires explanation has failed, and that the choice of chart type is an argument about what matters.

Connecting Tableau to Salesforce dataBuilding views and the visual grammarCalculated fields and table calculationsLevel-of-detail expressionsChoosing a chart type as an argumentDashboard layout and information hierarchyInteractivity, filters and actionsPublishing, permissions and refresh

Analytics Build & Certification Preparation

Week 10 + placement prep

A full analytics build on your own messy dataset: a documented data model, a quality remediation, a reporting pack, a CRM Analytics dashboard, and a written note on what the data cannot answer and why — which is the part that reads as senior.

Alongside it, preparation for the Data Cloud Consultant and CRM Analytics credentials, and mock interviews on data modelling, reporting constraints and quality scenarios.

End-to-end analytics buildDocumenting a data model and its limitationsData Cloud Consultant exam preparationCRM Analytics credential preparationMock interview — data modelling scenariosMock interview — reporting and quality scenariosPresenting an analysis to a business audienceResume and LinkedIn for data roles

AI, Agentforce & the Data It Needs

Final Week

Why this specialisation matters more than it did. Agentforce grounds an agent on org and unified data, which means data quality, structure and governance now determine whether an AI feature works at all — the point our career guide makes when it says AI sits on top of strong CRM and data knowledge.

Covered practically: what an agent needs from your data model, how grounding actually retrieves it, Einstein prediction features and their data requirements, and the governance questions to raise before any of it is switched on.

How grounding retrieves org and unified dataWhat an agent needs from your data modelData quality as the determinant of AI usefulnessEinstein prediction features and their data requirementsSegmentation and activation for AI use casesAI governance, consent and data privacyAdvising honestly against premature AI adoptionUsing AI assistants for analysis and documentation

Download the full syllabus as a PDF

All nine modules as a PDF — the Salesforce data model, data quality and governance, reporting to analytical depth, migration and integration, CRM Analytics, Data Cloud, Tableau, the analytics build with certification preparation, and the data foundations Agentforce depends on. Generated from this page, so the two cannot disagree.

What is inside the PDF

All nine modules in teaching order, each with its schedule, description and full topic list.
Reporting taken well past where administrator courses stop — custom report types, joined reports, cross filters, row-level formulas and PARENTGROUPVAL.
CRM Analytics, Data Cloud and Tableau covered as three distinct tools with a stated rule for choosing between them and standard reporting.
Data quality treated as a measured discipline with a dashboard, not as a maintenance chore — because it is now the blocking dependency for AI.

Roles this syllabus prepares you for

Salesforce Data Analyst and CRM Analytics specialist.Salesforce Data Cloud Consultant.Reporting and MIS lead in an organisation running Salesforce.The data grounding beneath the Architect path.

What projects will you build?

Project 1: Data Quality Remediation with Measurement

Take a deliberately degraded dataset — duplicates, inconsistent picklists, orphaned records, missing required data — profile it, quantify what is wrong, build the duplicate, matching and validation rules that stop it recurring, remediate the existing records, and produce a data quality dashboard tracking completeness and duplication over time. The measurement is the deliverable, not the cleanup.

Data profilingDuplicate and matching rulesData Loader and mass updateValidation rulesData quality dashboard

Project 2: Analytics Build Answering a Real Question

Choose a business question standard reporting cannot answer, then build what does answer it: a custom report type where needed, a CRM Analytics dataset joining Salesforce with external data, a dashboard with row-level security configured correctly, and a written note on what the data cannot tell you and why. That last part is what reads as senior at interview.

Custom report typesCRM Analytics datasets and recipesRow-level securityTableau visualisationDocumented limitations

What jobs and salaries follow this course in Pune?

Data-focused Salesforce roles in Pune sit with services majors on larger deliveries, with consulting partners running Data Cloud and analytics engagements, and inside enterprises with mature Salesforce estates. Postings appear as Salesforce Data Analyst, CRM Analytics Consultant, Data Cloud Consultant and increasingly as data-quality and governance roles.

Demand has risen with the platform's AI direction, because an agent grounded on poor data is worse than no agent. That has moved data quality, unification and governance from background maintenance to the dependency everything else waits on — which is the strongest argument for this specialisation right now.

Salary varies with experience, certification, development skill, cloud specialisation, company tier, communication and domain knowledge. The bands below mirror the India-oriented ranges in our Salesforce Career Guide 2026 and are indicative market ranges, not guaranteed salaries. In Pune specifically, fresher offers at services majors typically land lower in the band, while Salesforce-native consulting partners tend to pay somewhat higher for the same experience.

Role	Salary band	Source
Fresher / entry level	₹3 – 6 LPA	Archer Infotech Salesforce Career Guide 2026 — indicative India ranges
1–3 years	₹6 – 12 LPA	Archer Infotech Salesforce Career Guide 2026 — indicative India ranges
3–5 years	₹10 – 20 LPA	Archer Infotech Salesforce Career Guide 2026 — indicative India ranges
5–8 years	₹15 – 30 LPA	Archer Infotech Salesforce Career Guide 2026 — indicative India ranges
Senior / Lead	₹20 – 35+ LPA	Archer Infotech Salesforce Career Guide 2026 — indicative India ranges
Architect / highly specialised	₹25 – 45+ LPA	Archer Infotech Salesforce Career Guide 2026 — indicative India ranges

Pune companies hiring Salesforce Data professionals in 2026

SalesforceAccentureDeloitteTCSInfosysWiproCognizantCapgeminiIBMTech MahindraLTIMindtreeMphasisPersistent SystemsHCLTechSalesforce consulting and implementation partners

Roles after this Salesforce Data course

Salesforce Data AnalystCRM Analytics ConsultantSalesforce Data Cloud ConsultantReporting and MIS LeadSalesforce Data Governance AnalystBI Analyst on a Salesforce estate

How long is the course, and what batch options are there?

Duration: 3 months (11 weeks) for the weekday and online tracks; 13 weeks for the weekend track

Classroom

Archer Infotech Kothrud campus (Flat No. 12, Divyadarshan Housing Society, Kothrud, Pune 411038)

• Morning batch: Monday–Friday 10:30–12:00
• Evening batch: Monday–Friday 19:00–20:30
• Saturday lab session: 10:00–13:00 (org practice and Trailhead)

Online Live

• Live sessions: Monday–Friday 20:00–21:30 IST
• Recordings in the LMS within 24 hours

Tools used:

Google Meet for live sessionsSalesforce Developer Edition org (free, and yours to keep)Data Loader and Salesforce CLI (free)Tableau Public or a trial licenceTrailhead and trailmixes (free)Slack batch channel

Weekend

• Saturday + Sunday 10:00–13:00 (6 hrs/week)

The weekend track runs 13 weeks rather than 11 to keep total contact hours the same.

Batch sizes capped at 18 weekday and online, 12 weekend. New Salesforce batches start every 4–6 weeks — a slower cadence than the core development tracks, because each batch needs a trainer who is actively working on the platform.

What are the Salesforce Data course fees in Pune?

Salesforce Data & Analytics sits in the upper-mid band of our catalogue, reflecting a three-month duration and the tooling breadth. Salesforce examination fees are paid by you directly to Salesforce when you choose to sit, and are never bundled into or marked up in our fee. EMI is available — contact admissions for the current figure.

₹38,000 – ₹52,000 (typical band) plus Salesforce examination fees, paid directly to Salesforce

Market range source: Archer Infotech 2026 fee schedule

Payment options:

One-time payment (5% discount)
EMI: 50% at enrolment + 50% at the midpoint
EMI: three monthly instalments
Salesforce examination fees are paid by you directly to Salesforce and are never bundled into our fee

What placement support do you get?

Placement support is included in the fee with no separate charge, and starts in week nine. By graduation your resume is rewritten for data roles, your analytics build is reviewed, and you have completed mock interviews covering data modelling and reporting-constraint scenarios.

We do not guarantee placement. Our institute-records rate is 90% across all tracks, measured on learners who complete training and clear at least one mock-interview round. The Salesforce tracks depend heavily on certification timing — graduates who postpone the official exam beyond six weeks of finishing place noticeably slower, which is why cert-readiness checks are built into the placement process rather than left to you.

Placement process — week by week

Week 9 — resume and LinkedIn rewritten for data and analytics roles
Week 10 — analytics build reviewed and presentation rehearsed
Week 10 — first mock interview on data modelling scenarios
Week 11 — second mock interview on reporting and data quality scenarios
Week 11 — certification-readiness check
Post-course weeks 1–4 — introductions to partner companies
Post-course weeks 5–24 — weekly placement-cell check-ins

Partner companies

CognizantAccentureTCSCapgeminiPersistent Systems (Salesforce practice)WiproInfosysCoforgeLTIMindtree100+ partner companies including the Salesforce-native partner network

See recent placement records →

How does Archer Infotech compare with other institutes?

Factual rows only — no logos and no opinions. Use it as a checklist against any Salesforce institute you are considering, including this one.

Factor	Archer Infotech	Typical Pune institute
Trainers named on the course page	Yes — with the org they work in	Generic 'certified expert trainers'
Practice environment	Your own Salesforce org from week one, kept after the course	Shared trainer demo org, or screenshots
Trailhead used alongside teaching	Yes — with a set sequence and trainer review of your work	Either ignored, or handed over instead of teaching
Certification fee	Paid by you directly to Salesforce, never bundled or marked up	Sometimes bundled at an unclear markup
Institute certificate versus Salesforce certification	Stated plainly — ours is a course certificate, only Salesforce can certify you	Blurred, deliberately
Downloadable syllabus	Yes — generated from this page, so the two cannot disagree	A one-page module list, or nothing
Project work	A build in your own org, documented and demonstrable at interview	Guided click-through with no artefact
Salary claims	Indicative ranges, sourced and labelled as indicative	A single large number with no source
Placement support duration	6 months after completion, no separate charge	1–3 months, or a vague 'until placed'
Batch size cap	18 weekday and online, 12 weekend	25–40 students

The single question worth asking anywhere: is the certification issued by Salesforce, or by the institute? Only the first one counts in the market.

Salesforce Data & Analytics or a general data analyst path?

A general data analytics path — SQL, Python, Power BI, warehousing — is broader, more portable and has far more openings. Our Data & AI category covers exactly that. This course is narrower and deeper: it is about customer data inside one platform, and the skills are worth a great deal inside the Salesforce ecosystem and less directly outside it.

Take this path if you already work on Salesforce and want analytical depth, or if you already do data work and want a specialisation with less competition per posting. Take the general path if you are starting from nothing and want maximum optionality.

The strongest position is both, and it is reachable: SQL and a visualisation tool transfer straight in, and Data Cloud work increasingly looks like warehouse work with a CRM-shaped schema. Several of our learners take the Data Analytics course in the Data & AI category first and this one afterwards.

What are the prerequisites, and how do you start?

You need either data background or Salesforce background — not necessarily both. Data analysts and BI professionals arrive with the analytical craft and learn the platform; Salesforce administrators arrive with the platform and learn the analytical depth. What does not work is arriving with neither, in which case the Administrator course is the right starting point. Comfort with spreadsheets and basic SQL concepts helps considerably.

Read the Salesforce Career Guide 2026 on our blog to see how the data path connects to the others
Create a free Developer Edition org and build one report end to end
Check the upcoming batch dates and pick a mode
Book a free counselling session, particularly if you are coming from a non-Salesforce data background
Enrol, and bring a laptop to session one

Frequently Asked Questions

Do I need Salesforce experience before this course?
Either Salesforce experience or data experience — not necessarily both.
Read moreShow less
Analysts and BI professionals learn the platform here; administrators learn the analytical depth. If you have neither, take the Administrator course first, because this course assumes you can navigate an org or read a dataset without help on one of the two sides.
What is Data Cloud, and do I need it?
Data Cloud unifies customer data from Salesforce and external systems into resolved profiles that other tools — including Agentforce — can use.
Read moreShow less
It is a substantial commitment in both cost and complexity. This course covers it honestly, including the advice we would give many organisations: fix core data quality first, because unifying poor data produces unified poor data.
Is CRM Analytics the same as Tableau?
No, and the distinction matters in interviews. CRM Analytics is Salesforce's native analytics platform, tightly bound to the org with its own dataflows and its own security model.
Read moreShow less
Tableau is a general visualisation platform Salesforce acquired, which connects to many sources. This course covers both and gives you a rule for choosing between them and standard reports.
Why does data quality matter more now than it used to?
Because Agentforce grounds AI agents on your org and unified data.
Read moreShow less
An agent answering from poor data is worse than no agent — it is confidently wrong at scale. That has moved data quality from unglamorous maintenance to the dependency everything else waits on, which is the single strongest argument for this specialisation in 2026.
Which certification does this path lead to?
Data Cloud Consultant and the CRM Analytics credentials are the closest role-based fits, and this course prepares for both.
Read moreShow less
The Administrator credential is worth holding first if you came from a data rather than a Salesforce background, because it demonstrates the platform literacy these exams assume.
Will I work with real, messy data?
Yes, deliberately. You load an imperfect dataset in week one — duplicates, inconsistent picklists, orphaned records — and it stays with you for the rest of the course.
Read moreShow less
Clean sample data teaches you the tool and not the job, and the first month of a real data role is almost entirely about the mess.
Is the Salesforce certification exam fee included in the course fee?
No, and you should be wary of any institute that says it is.
Read moreShow less
Salesforce exams are booked and paid directly with Salesforce at their published price, and the credential is issued in your name by Salesforce. Our fee covers training, your practice org, mock exams and preparation. Bundling the two obscures who is certifying you.
Is an institute certificate the same as a Salesforce certification?
No. We issue a course completion certificate; Salesforce issues the certification, and only the second one carries weight in the market.
Read moreShow less
Ask this plainly of any institute you are considering: is the certification issued by Salesforce, or by you? If the answer is unclear, that is your answer.
Are weekend or online batches available?
Yes. The weekend track runs Saturday and Sunday mornings over a slightly longer calendar, and live online runs weekday evenings, both with the same content, the same trainer review of your work and the same placement support.
Read moreShow less
Batch dates are shared through the contact form, on WhatsApp, or on +91 9850 678451.
Is placement assistance included in the fee?
Yes, with no separate charge, and it runs for six months after the course ends.
Read moreShow less
It covers resume and LinkedIn rewriting, rehearsing your project walkthrough, mock interviews, certification-readiness checks and introductions to partner companies. We do not guarantee placement — the institute-records rate is 90% across all tracks, measured on learners who complete training and clear at least one mock round.

Learn Salesforce Data Online or at Our Pune Centre

Good news — Salesforce Data is available in live online mode as well as classroom training at our Kothrud, Pune centre. Learn from anywhere with the same trainers, curriculum and placement assistance. Register now or send us your enquiry.