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Data Science & Analytics · Beginner to Intermediate

Data Analyst in Delhi / NCR

Master Data Analyst in Delhi / NCR — move into Data Analyst roles paying ₹7–12 LPA, rising to ₹20L at senior level.

★★★★★ 4.7 Google
✓Instructor-led live sessions
✓Trainers with 15+ years industry experience
✓Hands-on cloud labs and coding playground
✓Industry-specific projects — AI-graded, trainer-validated
✓Industry-recognised certification, LinkedIn-shareable
👤
40,000+
Professionals trained
🏢
350+
Enterprise clients
Next batch: 14 Nov 2026Filling Fast
Microsoft SQL Server
Data Science & Analytics
Data Analyst
Microsoft SQL ServerMicrosoft ExcelTableau
₹21,000 ₹35,000 40% off
⏰ ⚡ Flash sale · 40% off · EMI from ₹1,896/mo
Next batch 14 Nov 2026
🎓 Virtual Instructor-led
What's Included
🎓
Instructor-led sessions
🧪
Hands-on labs
🎯
Capstone project
🏆
GI Certificate

Trusted by leading enterprises

Upcoming Batches

Open-house batches for individuals — enroll directly. Training a team? Request an enterprise quote →

Weekday Weekend ⏱ Total duration: 40 hours
DatesScheduleModeDurationPrice
14 Nov – 13 Dec 2026
Saturday
all session dates
10:00 AM–2:00 PM IST 🎓 Virtual Instructor-led🗓️ Weekends | Half days 5 weekends ₹21,000
₹35,000
Session datesWeekend batch
Sat 14 NovSun 15 NovSat 21 NovSun 22 NovSat 28 NovSun 29 NovSat 5 DecSun 6 DecSat 12 DecSun 13 Dec
16 Nov – 20 Nov 2026
Monday
all session dates
9:30 AM–5:30 PM IST 🎓 Virtual Instructor-led🗓️ Weekdays | Full days 5 days ₹21,000
₹35,000
Session datesWeekday batch
Mon 16 NovTue 17 NovWed 18 NovThu 19 NovFri 20 Nov
07 Dec – 22 Jan 2027
Monday
all session dates
8:00 PM–10:00 PM IST 🎓 Virtual Instructor-led🗓️ Weekdays | Evenings 20 sessions ₹21,000
₹35,000
Session datesWeekday batch
Mon 7 DecWed 9 DecFri 11 DecMon 14 DecWed 16 DecFri 18 DecMon 21 DecWed 23 DecMon 28 DecWed 30 DecFri 1 JanMon 4 JanWed 6 JanFri 8 JanMon 11 JanWed 13 JanFri 15 JanMon 18 JanWed 20 JanFri 22 Jan
Enterprise
Custom Date
Custom Schedule
Your timing & location
⚡ Any Mode Flexible Custom pricing

Can't find a suitable batch? Contact us

Soaring Demand — and Where It Takes You

Real salaries
Min, average, max by role
Real hiring companies
Who's actually recruiting
a significant and widening gap
Data science and analytics talent demand substantially outpaces available supply in the domestic market. · NASSCOM

Every function in every enterprise is becoming data-driven, and data science remains one of the most reliable on-ramps into high-growth technology careers, with demand consistently outpacing supply.

Roles this programme prepares you for
Data AnalystJunior Data AnalystBusiness AnalystReporting AnalystBusiness Intelligence AnalystOperations AnalystAnalytics AssociateData Reporting SpecialistDatabase AnalystBI Developer

Become a Data Analyst

Extract, clean, and analyze structured data to identify patterns and inform business decisions.

Average Salary* · Entry · 0–2 years exp
₹4L
Min
₹5L
Average
₹7L
Max
Hiring Companies

Become a Data Analyst

Extract, clean, and analyze structured data to identify patterns and inform business decisions.

Average Salary* · Mid-level · 3–6 years exp
₹7L
Min
₹9L
Average
₹12L
Max
Hiring Companies

Become a Business Analyst

Translate business requirements into data queries and dashboards to solve operational problems.

Average Salary* · Senior · 7+ years exp
₹12L
Min
₹16L
Average
₹20L
Max
Hiring Companies
45%
YoY growth in data science job postings
· LinkedIn Jobs Report
2.8L+
Active open positions in analytics roles
· Indeed India Job Market Data
8-12L
Entry-level data analyst annual compensation
· Glassdoor India Salary Survey
25-35L
Mid-level data scientist annual package
· PayScale India Analytics Report
78%
Organizations actively recruiting analytics talent
· Nasscom Tech Talent Report
3.5x
Candidate-to-role ratio favoring professionals
· Monster India Talent Index
32%
Avg salary increase after 3 years experience
· AIM Research Analytics Career Study
4.2 yrs
Average time to senior analyst promotion
· Great Place to Work India Survey
89%
Enterprises investing in analytics capabilities
· Forrester Analytics Wave
6/10
Top industries hiring: IT, Finance, E-commerce
· CII Digital Economy Report
SQL, Python
Most sought technical skills in 2024
· HackerRank Developer Skills Report
ML/AI
Fastest-growing specialization demand
· Coursera Skills Index India

* Salary figures sourced from AmbitionBox (2026-Q2). Indicative — actual pay varies by city, company and experience.

About This Course

This beginner-to-intermediate course equips you with the core skills to analyze data and drive business decisions. You'll master SQL queries, Excel formulas, and dashboarding tools—learning how to extract, clean, and visualize data from multiple sources. Whether you're transitioning into analytics or advancing your technical foundation, this course covers the full workflow from database querying through stakeholder presentation.

Designed for aspiring Data Analysts, Business Analysts, and Reporting professionals, you'll work with Microsoft SQL Server, Excel, Tableau, and Power BI to build real-world dashboards, write effective queries, and tell compelling stories with data. By the end, you'll be confident tackling business questions, connecting and transforming data sources, and communicating insights to non-technical audiences.

Who Should Attend

The job roles this programme is built for.

Business Analyst
Master Excel, SQL, and dashboards to unlock data-driven insights.
Operations Analyst
Learn data cleaning and reporting tools to optimize processes with data.
Reporting Analyst
Build Tableau and Power BI dashboards to communicate findings effectively.
Junior Data Analyst
Gain foundational skills in SQL, Excel, and visualization from day one.
Business Intelligence Analyst
Develop end-to-end data workflows from SQL to strategic dashboards.
Professional transitioning to data roles
Beginner-friendly path to data analysis without prior technical experience.
PrerequisitesBasic computer literacy and familiarity with Windows · Comfort working with spreadsheets at a beginner level

What You Will Learn

✓Write Excel formulas using IF, AND, OR, SUMIFS, COUNTIFS, XLOOKUP, VLOOKUP and INDEX-MATCH for analysis
✓Build PivotTables and dashboards with slicers, conditional formatting and calculated fields
✓Clean and organise data in Excel using Tables, deduplication and data validation
✓Query databases with SQL SELECT, WHERE, GROUP BY, JOIN and UNION statements
✓Analyse distributions and correlations using descriptive statistics and the Analysis ToolPak
✓Design Tableau visualisations including maps, dashboards and stories from multiple data sources
✓Transform data in Power BI using Power Query and build DAX measures for reporting
✓Present business findings through visual storytelling and interactive dashboards

Skills You Will Gain

Foundation & Data Prep
Analysis lifecycle
Data governance basics
Cleaning data
Data validation
Analysis & Querying
Excel formulas
Descriptive statistics
SQL queries
Joining tables
Visualization & Storytelling
PivotTables
Tableau dashboards
Power BI reports
Data storytelling

Tools & Platforms Covered

Microsoft SQL Server
Microsoft Excel
Tableau
Power BI
Python
Jupyter
SSMS

Course Curriculum

15 modules · hands-on labs · 1 capstone project · 40 hours

M01 The Data Analyst Role and Workflow
4 topics · 2 hrs ▼
  • What analysts do and the analysis lifecycle
  • Structured and unstructured data and common file formats
  • Databases, warehouses and star schemas
  • Data governance and privacy basics
🧪 Hands-on Build a data source inventory map that classifies a sample business dataset by format, structure, governance tier and position in the analysis lifecycle.
Skills Analysis Lifecycle Data Governance Data Structures Star Schemas
M02 Excel Formulas for Analysis
5 topics · 4 hrs ▼
  • Absolute and mixed cell references
  • Logical tests with IF, AND and OR
  • Text and date functions
  • Conditional totals with SUMIFS and COUNTIFS
  • Lookups with XLOOKUP, VLOOKUP and INDEX-MATCH
🧪 Hands-on Build a sales summary workbook that uses SUMIFS, COUNTIFS, nested IF logic, date functions and XLOOKUP to answer ten predefined business questions from a raw transaction table.
Skills Excel Formulas Lookup Functions Conditional Aggregation Logical Tests
M03 Cleaning and Organising Data in Excel
5 topics · 3 hrs ▼
  • Excel Tables with sorting and filtering
  • Removing duplicates and splitting text into columns
  • Data validation rules
  • Finding blanks, errors and inconsistent entries
  • Profiling a dataset before analysis
🧪 Hands-on Clean a messy customer dataset by converting it to an Excel Table, removing duplicates, splitting concatenated fields, applying validation rules and documenting a before-and-after data profile.
Skills Excel Tables Data Validation Data Cleaning Data Profiling
M04 PivotTables and Excel Dashboards
4 topics · 3 hrs ▼
  • Building and grouping PivotTables
  • Calculated fields, slicers and timelines
  • PivotCharts and conditional formatting
  • Recording a macro for a repeat task
🧪 Hands-on Build an interactive Excel dashboard with grouped PivotTables, calculated fields, slicers, a timeline, PivotCharts with conditional formatting and a recorded macro that refreshes the report in one click.
Skills PivotTables Excel Dashboards Slicers and Timelines Excel Macros
M05 Statistics for Everyday Analysis
5 topics · 3 hrs ▼
  • Mean, median and mode
  • Spread with range, variance and standard deviation
  • Distributions, percentiles and outliers
  • Correlation and trendlines
  • The Excel Analysis ToolPak
🧪 Hands-on Analyse a sales performance dataset using Excel descriptive statistics, percentile and outlier detection formulas, a correlation matrix and a trendline chart produced with the Analysis ToolPak.
Skills Descriptive Statistics Outlier Detection Correlation Analysis Excel Analysis ToolPak
M06 SQL Querying Foundations
5 topics · 4 hrs ▼
  • Tables, keys and relationships
  • SELECT with DISTINCT and ORDER BY
  • Filtering with WHERE, IN, BETWEEN and LIKE
  • Handling NULL values
  • Working in SQL Server Management Studio
🧪 Hands-on Query a retail database in SQL Server Management Studio using SELECT, DISTINCT, ORDER BY, WHERE filters with IN, BETWEEN and LIKE, and NULL-handling logic to produce a clean product catalogue report.
Skills SQL SELECT Queries Data Filtering NULL Handling SQL Server Management Studio
M07 Summarising and Joining Data with SQL
5 topics · 4 hrs ▼
  • Aggregate functions
  • GROUP BY and HAVING
  • Date and string functions
  • Inner and outer joins
  • Combining results with UNION
🧪 Hands-on Build a monthly sales summary query that joins orders, customers and products tables using inner and outer joins, applies GROUP BY with HAVING, formats dates and strings, and combines regions with UNION.
Skills SQL Aggregation GROUP BY and HAVING SQL Joins UNION Queries
M08 Shaping Data with SQL
4 topics · 2 hrs ▼
  • CASE expressions
  • Subqueries
  • Converting data types with CAST
  • Saving reusable queries as views
🧪 Hands-on Create a reusable SQL view that uses CASE expressions, a correlated subquery and CAST conversions to segment customers into revenue tiers for downstream reporting.
Skills CASE Expressions SQL Subqueries SQL Views Data Type Conversion
M09 Tableau Foundations
5 topics · 3 hrs ▼
  • Connecting to data sources
  • Cleaning with Data Interpreter and pivoting
  • Core charts with Show Me
  • Filters, sorting and grouping
  • Calculated fields and table calculations
🧪 Hands-on Build a Tableau workbook connected to a CSV source that uses Data Interpreter, four core chart types, dimension filters, sorting and a calculated field with a table calculation to rank products by sales.
Skills Tableau Data Connections Tableau Charts Calculated Fields Table Calculations
M10 Tableau Maps, Dashboards and Stories
5 topics · 3 hrs ▼
  • Geographic maps and dual-axis charts
  • Blending and relating data sources
  • Dashboard layout with filter and highlight actions
  • Building a story
  • Publishing to Tableau Public or Tableau Cloud
🧪 Hands-on Publish a Tableau story to Tableau Public that combines a geographic sales map, a dual-axis trend chart, two blended data sources and a dashboard with filter and highlight actions across story points.
Skills Tableau Maps Tableau Dashboards Data Blending Tableau Stories
M11 Getting and Shaping Data in Power BI
4 topics · 2 hrs ▼
  • Connecting to Excel, CSV and database sources
  • Cleaning and transforming in Power Query
  • Profiling column quality
  • Loading the cleaned tables
🧪 Hands-on Build a Power BI data preparation pipeline in Power Query that connects to Excel and SQL Server sources, removes errors, renames and reorders columns, and loads profiled clean tables ready for modelling.
Skills Power Query Data Transformation Column Profiling Power BI Data Sources
M12 Power BI Data Models and DAX
4 topics · 2 hrs ▼
  • Relationships between fact and dimension tables
  • Calculated columns versus measures
  • Common DAX aggregations
  • CALCULATE and time intelligence basics
🧪 Hands-on Build a star-schema data model in Power BI with fact-dimension relationships, DAX measures for sales totals and averages, and CALCULATE-based year-to-date and prior-year comparisons.
Skills Power BI Data Models DAX Measures CALCULATE Function Time Intelligence
M13 Power BI Reports and Sharing
5 topics · 2 hrs ▼
  • Choosing and formatting visuals
  • Slicers, drill-down and drillthrough
  • Bookmarks and page navigation
  • Publishing to the Power BI service and building a dashboard
  • Sharing and refreshing reports
🧪 Hands-on Publish a multi-page Power BI report to the Power BI service with formatted visuals, slicers, drillthrough pages, bookmark-driven navigation and a pinned service dashboard shared with a stakeholder account.
Skills Power BI Reports Drillthrough Power BI Service Report Sharing
M14 Visual Design and Data Storytelling
5 topics · 2 hrs ▼
  • Choosing the right chart
  • Visual hierarchy, colour and accessibility
  • Keeping dashboards fast
  • Turning business questions into report requirements
  • Presenting findings to stakeholders
🧪 Hands-on Redesign a cluttered sample dashboard by applying chart selection principles, visual hierarchy, accessible colour palettes and a one-page requirements brief, then present the improved version to the group.
Skills Chart Selection Dashboard Accessibility Data Storytelling Stakeholder Communication
M15 Capstone Project
2 topics · 1 hr ▼
  • Choose a project theme with your trainer
  • Build it end to end in Microsoft SQL Server
Skills Project Scoping End-to-End Delivery Presenting Findings

Hands-On Projects

Every batch includes guided labs, case studies and a capstone — applied to real-world problems.

Project themes may include
✓Sales Performance Dashboard
✓Customer Segmentation Analysis
✓Inventory Cleanliness Report
✓Regional Geographic Heatmap
✓Statistical Trend Forecasting
✓Multi-Table Data Consolidation
Project work is tailored to each cohort and the latest industry practice.
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  • Ongoing support from the GI team
Curriculum Updated Quarterly
  • Built around tools and practices used in production today
  • New techniques incorporated as the technology landscape evolves
  • Labs, projects and case studies refreshed every quarter
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Frequently Asked Questions

Which companies in Delhi / NCR hire Data Analyst professionals? +
Major companies in Delhi/NCR that actively hire Data Analysts include TCS, Infosys, Wipro, HCL Technologies, Amazon India, Google India, Microsoft India, and various fintech and e-commerce startups. These organizations value professionals with strong SQL, Python, and data visualization skills.
Is this course available as classroom training in Delhi / NCR? +
Yes, we offer flexible learning options including live online virtual instructor-led training (VILT) that you can join from anywhere in Delhi/NCR. For teams and organizations, we also provide on-site training programs customized to your schedule and requirements.
Can I take this course from Delhi / NCR online? +
Absolutely. This course is fully available as live online training accessible from Delhi/NCR. We schedule batch timings aligned with Indian Standard Time (IST) to ensure convenient learning hours for participants in the region.
How does Delhi / NCR compare to other markets for these jobs? +
Delhi/NCR is one of India's largest tech hubs with strong demand for Data Analysts across IT services, fintech, e-commerce, and analytics-focused companies. The market here offers competitive opportunities comparable to other major metros, with a robust startup ecosystem alongside established enterprises.
What will I learn in the Data Analyst course? +
You'll master SQL Server, Excel, Tableau, and Power BI to build end-to-end data workflows. The curriculum covers writing SQL queries with joins, cleaning and validating datasets, building dashboards, and presenting findings to stakeholders.
Does the course include hands-on practice? +
Yes. You'll work with hands-on cloud labs throughout the programme. You'll clean real business datasets, write SQL queries, build PivotTables and dashboards, and create visualizations in Tableau and Power BI.
What tools do I learn? +
You'll work with Microsoft SQL Server and SQL Server Management Studio for querying, Microsoft Excel for analysis and reporting, Tableau for visualization, and Power BI for building interactive reports.
How is the course structured? +
It's a live, instructor-led online programme. Your trainer guides you through the analysis lifecycle, from data cleaning and SQL to Tableau and Power BI dashboards, with hands-on labs embedded throughout.
Is this course suitable if I have no data background? +
Yes. It's beginner-friendly and requires only basic computer literacy and comfort with spreadsheets at a beginner level. You'll learn foundational skills in SQL, Excel, and visualization from day one.
What's the difference between this and a business analyst course? +
A Data Analyst course focuses on technical skills—SQL, Excel, Tableau, Power BI—to extract, clean, and visualize data. A Business Analyst course typically emphasizes requirements gathering, process improvement, and business strategy. This programme prepares you for data-focused roles.
Will I learn data cleaning and preparation? +
Yes. You'll learn to clean and validate datasets, find blanks and inconsistent entries, remove duplicates, split text into columns, and apply data validation rules. These skills are core to the analysis lifecycle.
What are the prerequisites? +
You need basic computer literacy and familiarity with Windows. You should be comfortable working with spreadsheets at a beginner level. No prior SQL or programming experience is required.
Do I need Excel experience before starting? +
No. The course assumes only beginner-level spreadsheet comfort. You'll learn Excel formulas, PivotTables, conditional formatting, and the Analysis ToolPak during the programme.
Can I take this course part-time? +
Yes. The course is live and instructor-led online, which allows flexibility. You'll have access to your learning materials after the programme ends, so you can review at your own pace.
Is any software required on my computer? +
You'll need Microsoft Excel installed. For SQL Server and Power BI, you can use the cloud labs provided during the course. After completion, you can download free or trial versions or use your organization's licences.
What if I have some SQL or Tableau experience already? +
The course is beginner-friendly, so it covers foundational skills thoroughly. If you have prior experience, you'll move quickly through those sections and deepen your expertise with real-world projects and advanced techniques.
Do I need a specific internet speed or setup? +
You'll need a stable internet connection for live sessions and cloud labs. A standard laptop or desktop with a web browser is sufficient. Check your connection quality before the course starts.
What does a data analyst actually do? +
A data analyst extracts data from multiple sources, cleans and shapes it using SQL and Excel, analyzes it to answer business questions, and builds visualizations in tools like Tableau and Power BI to communicate findings to stakeholders.
What is the analysis lifecycle? +
The analysis lifecycle moves through stages: connecting to data sources, cleaning and validating data, analyzing with SQL and Excel, creating visualizations, and presenting recommendations to stakeholders. This course walks you through each step.
How do I use SQL as a data analyst? +
You use SQL to query databases, filter and sort data with WHERE and ORDER BY clauses, join multiple tables, aggregate data with GROUP BY and functions like SUM or COUNT, and handle NULL values and data type conversions.
What role does Excel play in data analysis? +
Excel is used to clean data, build PivotTables for summarization, apply formulas and conditional logic, calculate statistics like standard deviation, and create dashboards that combine analysis with visualizations for stakeholder reporting.
How do Tableau and Power BI fit into a data analyst's workflow? +
Both tools connect to cleaned data sources and let you build interactive dashboards and reports. Tableau excels at exploratory analysis and story-telling. Power BI integrates closely with Excel and SQL Server for enterprise reporting.
What is data governance and why does it matter? +
Data governance sets rules for data quality, privacy, and access. As an analyst, you'll understand privacy basics, handle unstructured data responsibly, and validate data against organizational standards to ensure reliable insights.
How do I present findings to stakeholders? +
You'll learn visual hierarchy, choosing the right chart type, and building dashboards that tell a clear story. The course covers how to present recommendations backed by data, not just raw numbers.
What jobs can I get after this course? +
Graduates move into roles like Data Analyst, Junior Data Analyst, Business Analyst, Reporting Analyst, Business Intelligence Analyst, Operations Analyst, Analytics Associate, Data Reporting Specialist, Database Analyst, and BI Developer.
What's the job market demand like for data analysts? +
Demand for data analysts has consistently outpaced supply. A majority of enterprises recognize the importance of data. Data science and analytics roles are among the fastest-growing and most in-demand professional cadre roles.
Will this course help me transition from another career? +
Yes. The beginner-friendly curriculum requires no prior technical experience. Many people transition into data analysis from business, finance, operations, or other fields by learning SQL, Excel, and dashboard tools.
What's the difference between a data analyst and a business intelligence analyst? +
Both roles use data to inform decisions. Data Analysts typically focus on ad-hoc analysis and reporting using SQL and Excel. Business Intelligence Analysts design and maintain enterprise data systems and dashboards with tools like Power BI.
How does experience affect career growth? +
Entry-level roles focus on data cleaning and simple analysis. Mid-level analysts handle complex queries and design dashboards. Senior analysts and Business Analysts move toward strategy, leading teams, and influencing business decisions with data insights.
What is the average Data Analyst salary in Delhi / NCR? +
The average Data Analyst salary in Delhi / NCR is around ₹5L. The typical pay range runs from ₹4L to ₹7L. Source: AmbitionBox.
What does an experienced Data Analyst earn in Delhi / NCR? +
Experienced Data Analysts in Delhi / NCR typically earn towards the upper end of the range — up to ₹7L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher. Source: AmbitionBox.
What is the average Data Analyst salary in Delhi / NCR? +
The average Data Analyst salary in Delhi / NCR is around ₹9L. The typical pay range runs from ₹7L to ₹12L. Source: AmbitionBox.
What does an experienced Data Analyst earn in Delhi / NCR? +
Experienced Data Analysts in Delhi / NCR typically earn towards the upper end of the range — up to ₹12L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher. Source: AmbitionBox.
What is the average Business Analyst salary in Delhi / NCR? +
The average Business Analyst salary in Delhi / NCR is around ₹16L. The typical pay range runs from ₹12L to ₹20L. Source: AmbitionBox.
What does an experienced Business Analyst earn in Delhi / NCR? +
Experienced Business Analysts in Delhi / NCR typically earn towards the upper end of the range — up to ₹20L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher. Source: AmbitionBox.
What certificate will I receive? +
You'll earn a Greater Insights Certificate of Completion in Data Analyst — evidence of the practical, job-ready skills you built, and shareable with employers.
Is the certificate recognised or accredited? +
It's a professional certificate of completion — not a university or government accreditation. Its value comes from what it represents: rigorous, live instructor-led training and hands-on projects that employers recognise as real, current skills.
How do I earn the certificate — is there an exam? +
There's no high-stakes exam. You earn the certificate by completing the programme — attending the live sessions and finishing the hands-on projects and labs that demonstrate your skills.
Can I add it to LinkedIn and use it for job applications? +
Yes — it's designed to be shared. Add it to your LinkedIn profile and CV right after completion, and use it in job applications as proof of the skills you built.
Will it help me get hired? +
It signals to employers that you've completed practical, hands-on training in Data Analyst — a real credibility boost. It's not a job guarantee, but combined with your portfolio and interview it strengthens your profile.
Does the certificate expire? +
No — once earned, it's yours permanently and doesn't expire. You also keep your learning materials to reference throughout your career.
How is the course delivered? +
It's a live, instructor-led online course with hands-on cloud labs — not self-paced video. You attend scheduled sessions with your trainer and classmates, ask questions in real time, and work through labs in the cloud.
How does this compare to a self-paced course? +
The difference is live, instructor-led sessions with a real cohort — real-time help, feedback, and accountability, instead of videos you work through alone. You still keep the recordings and materials, but the live guidance is what keeps you moving.
Is this the same as a university degree? +
No — it's a focused, practical, industry-oriented programme, not an academic degree. You build job-ready skills through live training and hands-on projects, and earn a Greater Insights certificate to show employers. It complements a degree rather than replacing it.
Can I attend if I'm in a different time zone? +
Sessions run at scheduled times (shown on this page). The course is fully online, so you can join from anywhere — check the schedule to confirm the timings work for you, or ask a learning advisor about alternative cohorts.
How much time do I need each week, and can I do it while working full-time? +
The live online format is built for working professionals — sessions are scheduled to fit around a job. Alongside the live sessions, set aside focused time for hands-on labs and practice; your trainer outlines the weekly commitment during onboarding.
What software or equipment do I need? +
Just a computer with a stable internet connection and a web browser. The course runs on cloud labs, so tools are provided online — no heavy local setup. You'll work with the tools your programme uses entirely in the cloud.
What support do I get during the course? +
You work directly with a live instructor throughout. Ask questions during sessions, collaborate with classmates on labs, and get feedback on your work. If you fall behind or hit a technical issue, your trainer and the Greater Insights team help you catch up.
Are sessions recorded — what if I miss one? +
Live attendance is where the real learning happens, so try to attend. If you must miss a session, tell your trainer in advance — your learning materials (and recordings, where available for your cohort) help you catch up. Ask your learning advisor about recording access.
How much does the course cost, and what payment options are there? +
The current fee is ₹21,000, with EMI options from ₹1,896/month. You can also request a quote or talk to a learning advisor for the latest pricing and plans.
Can I get a refund if it's not the right fit? +
Yes — if you've paid in full for a scheduled batch, you can request a full refund within 7 days of enrolling (before the batch starts); after that we can usually arrange a credit or a free transfer to a later batch, and if we cancel a batch you're refunded in full. See our Refund & Cancellation Policy at greaterinsights.in/refund-policy for the details.
What happens to my materials and access after the course ends? +
You keep your learning materials permanently — notes, code, labs, and resources — to revisit anytime as you apply your skills on the job.
Is there any support after the course ends? +
Yes — you stay connected with your trainer and the Greater Insights team after the programme, so you can ask follow-up questions and get guidance as you put your skills to work.
Can I book this for my team, or get 1:1 training? +
Yes — we run private cohorts for companies and offer 1:1 / small-group training. Talk to a learning advisor to scope a team plan or a personalised track.
What happens right after I enrol? +
You'll get onboarding details — how to access the learning platform and cloud labs, your cohort schedule, and a welcome from the GI team. Your learning advisor walks you through the first steps.
Is there peer learning or a community? +
Yes — you learn alongside a live cohort, collaborate with classmates on labs, and stay connected with the Greater Insights community and team beyond the course.
How long is the course? +
The full duration is listed in the course curriculum section on this page — check there for the exact hours and schedule.
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Course Details

Data Analyst — a closer look

Data Analyst in Delhi / NCR: employers & tech hubs

When government agencies need to track public-service delivery across millions of beneficiaries, or when large IT services firms need to model resource allocation across hundreds of client engagements, the analytical work falls to professionals who can turn raw operational data into decisions. In Delhi NCR, you would build dashboards that help central and state agencies monitor digitisation programmes, write Python scripts to clean and analyse procurement datasets, and apply machine learning models to flag anomalies in public-sector contracts. On the private side, you would work within enterprise delivery teams — helping clients across industries interpret performance data, automate reporting pipelines, and move analytical workflows onto cloud platforms. The dual-market structure here means your skills translate across both a high-volume IT services environment and a distinctive public-sector analytics layer that few other Indian cities offer at the same scale.

Employers in Delhi NCR that recruit for Data Analyst skills include HCL and Tech Mahindra, both of which hire analysts to support large-scale enterprise and government delivery programmes. Nagarro employs data professionals within its product and digital engineering teams, while Adobe recruits analysts focused on marketing intelligence and digital experience data.

Demand for Data Analyst roles in Delhi NCR grows year on year, reflecting both the expanding enterprise delivery base and sustained investment in public-sector digitisation. Live online instructor-led batches run in IST, so you can join from anywhere across Delhi NCR without relocating or commuting.

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