Public introduction · Coming soon
A closer look at the program
What you will learn, who the program suits and how practical learning fits.
Live Instructor-led
Global Data Analyst Professional Program
Build advanced analytics capabilities with multi-client project work, global mentoring and a complete professional profile.
A Closer Look at the Program
Build advanced analytics capabilities with multi-client project work, global mentoring and a complete professional profile.
What you will work towards
- 16-week real client internship
- Two Indian client projects and one international project
- Advanced dashboards, predictive models and BI reports
Who is this program for?
Students targeting international data careers, professionals upskilling for analytics roles and learners seeking advanced tools and multi-client internship exposure.
Public introduction · Coming soon
Your enrolment and learning journey
How to apply, confirm your batch and prepare for your learning experience.
These public introductions are separate from enrolled-student lesson content.
What you will learn
Week 1Foundations of data analysis
Understand the purpose of analysis, common data types and how a business question shapes the work.
Example application
Turn a broad business question into a focused analysis brief.
Turn a broad business question into a focused analysis brief.
Week 2Advanced Excel for data analysis
Work with data organisation, cleaning, analysis and spreadsheet reporting.
Example application
Prepare a clean table and summarise it for a business question.
Prepare a clean table and summarise it for a business question.
Weeks 3–4Tableau for data storytelling
Explore visual analysis and communicate the story behind a dataset through dashboards.
Example application
Choose charts that make a business trend easier to understand.
Choose charts that make a business trend easier to understand.
Weeks 5–6Power BI for enterprise BI
Connect analysis to business reporting through data preparation, modelling and dashboard design.
Example application
Organise KPIs into a dashboard that supports a reporting discussion.
Organise KPIs into a dashboard that supports a reporting discussion.
Week 7SQL foundations
Understand relational data and the foundations of querying tables.
Example application
Retrieve a targeted set of records from a structured dataset.
Retrieve a targeted set of records from a structured dataset.
Week 8SQL for data analysis
Use queries to filter, combine and summarise data for analytical questions.
Example application
Summarise activity across categories and investigate differences.
Summarise activity across categories and investigate differences.
Week 9Python foundations
Develop a working foundation in Python for data tasks.
Example application
Read a dataset and inspect its structure.
Read a dataset and inspect its structure.
Week 10Python for data analysis
Apply Python to data preparation, analysis and communicating findings.
Example application
Explore a dataset and prepare a concise findings summary.
Explore a dataset and prepare a concise findings summary.
Week 11Looker Studio
Explore reporting and dashboard presentation using Looker Studio.
Example application
Create a report view that answers a stakeholder’s question.
Create a report view that answers a stakeholder’s question.
Week 12Airtable + Softr: no-code data apps
Connect structured data with usable no-code interfaces.
Example application
Map a simple data-backed application workflow.
Map a simple data-backed application workflow.
Week 13Advanced Softr app building
Extend the application-building workflow with more structured business use cases.
Example application
Review the flow and usability of a multi-step data application.
Review the flow and usability of a multi-step data application.
Professional development framework
Week 1Personality & professional behaviour
Understand professional presentation, workplace habits and communication expectations.
Example application
Reflect on how you would handle a common workplace situation.
Reflect on how you would handle a common workplace situation.
Week 2CV building fundamentals
Organise qualifications, experience and skills into a clear professional CV.
Example application
Draft an achievement statement using your own experience.
Draft an achievement statement using your own experience.
Week 3CV tailoring for job roles
Align a CV with the requirements of relevant roles while keeping claims accurate.
Example application
Compare a job description with the evidence in your CV.
Compare a job description with the evidence in your CV.
Week 4Portfolio generation
Organise projects so recruiters can understand the problem, approach and result.
Example application
Write a concise project overview and decide what evidence to show.
Write a concise project overview and decide what evidence to show.
Week 5LinkedIn optimisation
Present a clearer professional profile and build an intentional online presence.
Example application
Refine a profile summary for the roles you want to pursue.
Refine a profile summary for the roles you want to pursue.
Week 6Job-hunting strategies + guest lecture
Develop a focused application approach and learn from industry perspectives.
Example application
Define target roles and a manageable application routine.
Define target roles and a manageable application routine.
Week 7Interview guidance
Prepare for interview questions and practise explaining your experience clearly.
Example application
Structure a response using a relevant example from your work.
Structure a response using a relevant example from your work.
Week 8Communication skills
Develop clearer spoken and written professional communication.
Example application
Prepare a concise professional email or project explanation.
Prepare a concise professional email or project explanation.
Week 9Aptitude training
Practise reasoning and aptitude concepts used in recruitment preparation.
Example application
Work through a sample reasoning problem and explain your approach.
Work through a sample reasoning problem and explain your approach.
Week 10Guest lecture + abroad support (visa/agency guidance)
Learn from industry perspectives and discuss overseas career-planning considerations.
Example application
List the information you would need before considering an overseas pathway.
List the information you would need before considering an overseas pathway.
Example applications illustrate the subject. Confirm the detailed calendar and any overlapping internship or profile-building components with the team.
Put your learning to work
16-week real client internship
Two Indian client projects and one international project
Advanced dashboards, predictive models and BI reports
Client meetings and requirement discussions
Global capstone project and work experience letters
How you will learn
Live Instructor-ledLive online guided learning
13-week technical training13-week technical + 10-week profile building + 16-week internship
Batch to be confirmedAsk for confirmed class timings before payment
Shweta
Data analytics trainer
Career support
International career guidance supports planning. Employment, visa and migration decisions depend on the relevant employer and authorities.
- ATS-optimised resume and LinkedIn branding
- Communication, aptitude and interview preparation
- Job-search strategy and career mentoring
- Visa and international career guidance
- Lifetime community access
- Analytics and BI pathways
- Data reporting and business insight roles
- International analytics opportunities, subject to employer requirements
Your learning investment
Program fee
₹44,999Indian rupees · one-time program feePayment details
Ask the team for confirmed payment arrangements. No instalment total is currently quoted.
Batch availability, payment terms and completion requirements are confirmed before enrolment.
The current website fee is ₹44,999. Older brochures may show earlier fees; confirm the updated written terms with QuantaEra.
A record of your learning
Sample CertificateCertificate of Completion
Presented to
Student NameFor completing
Global Data Analyst Professional ProgramCompletion DateUnique Certificate Number
Design preview only · Not a valid issued certificate
A QEITS completion certificate, subject to the program’s confirmed requirements. No external accreditation is claimed. The approved signature and verification details belong on issued certificates, not this sample.
Related learner experiences
Questions before you apply
Is prior experience required?
Students targeting international data careers, professionals upskilling for analytics roles and learners seeking advanced tools and multi-client internship exposure.
How do I enrol?
Apply for the next batch. The team confirms suitability, availability, fees and payment details. An application is not a confirmed enrolment.
Are self-paced courses available?
Self-paced courses are planned for the future. The currently listed programs are live instructor-led.
What are the fees?
The one-time program fee is ₹44,999. Confirm payment arrangements with the team.
When are sessions held?
Ask for confirmed batch dates, class timings and recording arrangements before enrolment.
How are certificates and career outcomes handled?
Certificates depend on confirmed completion requirements. Career support does not guarantee a job.
What are the refund terms?
Request the applicable written refund and deferral terms before payment.
From interest to completion
Choose your program
Check the eligibility and learning goals.
Apply for the next batch
Share your background and interests.
Confirm your place
Review the batch and terms, then complete the agreed payment.
Learn with guidance
Attend live sessions and complete the required practical work.
Meet the requirements
Complete the applicable attendance, assignments or assessments.
Receive your certificate
The team confirms completion before issuing your certificate.
Submitting an application does not confirm a seat or make a payment.