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Data Analytics Training Course in Mumbai With Gen AI by Uncodemy

Uncodemy's Data Analytics with Generative AI course for Mumbai learners runs 6–7 months and covers Excel, SQL, Power BI, Python, statistics and applied AI. Delivery is live online for Mumbai or classroom at Uncodemy's Noida centre, with projects, recordings and career-support services. Course fee is ₹17,500 + GST, ₹20,650 total.

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Expert Trainers

Learn from 8+ years experienced professionals

Live Projects

Work on real-time projects & case studies

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Data Analytics course included AI— Training & Placement Program Hands-on learning focused on practical Data Analytics skills and interview preparation.
A comprehensive 6–7 month instructor-led training program covering Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI with practical projects, mentoring and career support.
📚 Learning:
120+ Hours of Learning
⏱️ Program Duration:
6–7 Months
🎓 Live Training:
75+ Live Sessions
🛠️ Technology Coverage:
10+ Tools & Technologies
💼 Practical Learning:
Hands-on Projects & Case Studies
💰 Program Fee:
₹17,500 + 18% GST
💰 Total Fee:
₹20,650
💳 EMI:
Starting From ₹4,032/Month*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Data Analytics Course in Mumbai — Quick Facts

🎓 Course:
Data Analytics with Gen AI
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
120+ Hours
📖 Curriculum:
9 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Excel, SQL, Python, Power BI, Tableau + AI
🌐 Modes:
Live Online
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
9 September 2026

List of Placed Students Trained by Uncodemy

Learners who complete Uncodemy's Data Science, Business Analyst and Data Analytics programs build working skills in Excel, SQL, Python, Power BI, Tableau and day-to-day data analysis. After training and career preparation, eligible candidates may apply for roles including Data Analyst, MIS Executive, Business Intelligence (BI) Analyst and Reporting Analyst. The placement information below reflects learner outcomes shared by Uncodemy. Individual results differ based on skills, experience, interview performance, qualifications and the hiring company's requirements.

sahilgor
7.5 LPA
Gurgaon

Shahil Growar

Senior Marketing Analyst

Placed at:Midland Credit Management

Batch: DS/DA/BA/WE/I 12PM 22N - UC
Read placement record
shweta-negam
6.8 LPA
Bengaluru

Shweta Nigam

Business Analyst

Placed at:FIS

Batch: DS/DA/BA/WD/K 06PM 25J
Read placement record
saniya-agarwal
6.5 LPA
Pune

Saniya Agarwal

Business Analyst

Placed at:Fiserv

Batch: DS/DA/BA/WD/N 09PM 12J
Read placement record
rupali-ojha
5.5 LPA
Hyderabad

Rupali Ojha

Business Analyst

Placed at:HSBC

Batch: DS/DA/BA/WE/K 7:30 PM 26 Feb
Read placement record
Kashish
5.5 LPA
India

Kashish

Process Developer Analyst

Placed at:Genpact

DS/DA/BA/WD/A 9PM 19J+7JL-UC
Read placement record
pawan-mehra
5.0 LPA
Gurugram

Pawan Mehra

MIS Analyst

Placed at:upGrade

DS/DA/WD/U 6:30 PM 15 A
Read placement record
sagar-ghalot
5.0 LPA
Noida

Sagar Gahlot

Intellectual Property Analyst

Placed at:Clarivate

Batch: Clarivate
Read placement record
ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Batch: DA/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Batch: DS/12/0823/IR WE 12 PM
Read placement record
neeva-shah
4.5 LPA
Mumbai

Neeva Shah

Business Analyst

Placed at:makeO

Batch: DS/DA/WD/N 08PM 29F
Read placement record
vipin
4.2 LPA
Gurgaon

Vipin Tanwar

ML Developer

Placed at:Predomix

Batch: ML/DS/DA/A 7PM 15J+8JL - UC
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Batch: DA/WD/S 08:00 PM 08 JAN-UC
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Student Image
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

Batch: DS/DA/09/UP WD 12:30 PM
Read placement record

What is Data Analytics?

Data analytics is the discipline of scrutinising raw data to surface patterns, resolve business questions and guide decisions. It blends data cleaning, statistical analysis and visualisation to convert scattered records into actionable insight. Organisations apply it to study customer behaviour, monitor performance, cut costs and anticipate what may happen next.

What does a data analyst do?A data analyst draws data from databases and business systems, cleans it, analyses it for trends, and communicates findings via dashboards and reports. A standard week includes writing SQL queries, building Excel or Python models, producing Power BI or Tableau visuals, and explaining outcomes to marketing, finance, product or operations teams so they can respond.

Data Analytics vs Data Science vs Business Analytics

Data analytics explains what happened and why. Data science predicts what will happen next. Business analytics focuses on business processes and strategy.

Aspect Data Analytics Data Science Business Analytics
Core question What happened, and why? What will happen next? What should the business do?
Coding depth Low to moderate High Low
Typical entry salary ₹3–6 LPA ₹8–18 LPA ₹4–7 LPA
Time to job-ready 6–7 months 9–12 months 5–6 months

Salary ranges are indicative and vary by role, skills, experience, location and employer.

Course Overview

Uncodemy's Data Analytics course for Mumbai runs 6–7 months across 75+ live sessions and 120+ hours of learning, organised into nine modules that build progressively — Excel, SQL, Python, statistics, Power BI and Tableau, plus a dedicated module on how AI tools are applied in day-to-day analytics work. Every module has practical exercises on real datasets, and the program finishes with capstone projects that form your portfolio. Sessions are delivered live by industry trainers, with recordings available for revision. Training is offered through live online classes and classroom sessions at Uncodemy's Noida centre. Hybrid availability may vary by batch.

Who should join this course:

  • Fresh graduatesfrom any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want an entry into analytics.
  • Working professionalsin operations, sales, finance, HR or marketing who already work with data and want to formalise the skill.
  • Career changersmoving from non-technical roles into a data role.
  • MIS and reporting executiveswho want to move up from Excel into SQL, Python and BI tools.

Eligibility: Uncodemy requires a graduate degree in any discipline for admission. No prior programming experience is necessary — Python and SQL are taught from the first line of code. Basic mathematics comfort helps but is not mandatory; the statistics module builds it from the ground up. A laptop with 8GB RAM and a stable internet connection is recommended for practical sessions.

Upcoming Data Analytics Course Batches in Delhi

Choose a batch timing that fits your schedule. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training

Weekdays

Date Time Trainer Seats Left
16Sept 07:30 PM – 08:30 PM Mr. Rahul 01Seat
22Sept 02:00 PM – 03:00 PM Mr. Upendra 02Seats
26Sept 10:30 AM – 11:30 AM Ms. Rachna 01Seat
30Sept 12:00 PM – 01:00 PM Mr. Abhi 02Seats

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Irshad 02Seats

Seats are limited and updated daily. All timings are in IST.

Curriculums for Data Analytics Training Courses In Mumbai

Data Analytics Course Syllabus in Mumbai

Uncodemy's syllabus spans nine modules and 120+ hours, sequenced the way analysts actually operate — acquire the data, clean it, analyse it, interpret it, visualise it, then communicate it. Every module closes with a graded practical assignment on a real dataset, and the final module brings everything together into portfolio projects.

Module 1: Excel for Data Analytics — 12 Hours

  • Advanced formulas: VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, nested IF
  • Data cleaning: text functions, Find & Replace, Flash Fill, removing duplicates
  • Pivot Tables, PivotCharts, Slicers and Timelines
  • Power Query for importing and transforming data
  • Data validation, conditional formatting and dashboard design
  • Charts: histogram, Pareto, combo, waterfall

Module 2: SQL & Database Management — 18 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Python for Data Analytics — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 4: Statistics & Business Mathematics — 12 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • A/B testing in a business context

Module 5: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 6: Power BI — 18 Hours

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Visual types, filters, slicers, bookmarks and drill-through
  • Publishing to Power BI Service and scheduling refresh
  • Row-level security basics

Module 7: Tableau — 10 Hours

  • Tableau architecture, data connection and blending
  • Dimensions, measures and calculated fields
  • Filters, groups, sets and hierarchies
  • Parameters and dynamic controls
  • Reference lines, trend lines and forecasting
  • Dashboards, actions and stories

Module 8: AI & Gen AI for Data Analysts — 8 Hours

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 9: Capstone Projects & Career Preparation — 10 Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Analyst resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
# Module Hours Tools
1 Excel for Data Analytics 12 Excel, Power Query
2 SQL & Database Management 18 MySQL
3 Python for Data Analytics 20 Python, Pandas, NumPy
4 Statistics & Business Mathematics 12 Excel, Python
5 Data Cleaning & EDA 12 Python, Pandas
6 Power BI 18 Power BI Desktop
7 Tableau 10 Tableau Public
8 AI & Gen AI for Analysts 8 ChatGPT, Copilot
9 Capstone & Career Prep 10 All tools
Total 120 Hours 10+ tools

Contacted by

IK

Irshad Khan

Senior Trainer

8+ Years Experience

Specialization:Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI

Get Your Data Analytics Certification In Mumbai

After finishing all nine modules, the assignments and the capstone project, Uncodemy issues the Data Analytics Program Certificate. The certificate states the program name, duration, tools covered and completion date, together with a verification reference. Certification is awarded on successful completion of the required coursework and assessment, serving as a record of completion of the Uncodemy Data Analytics program.

The certificate is presented alongside the practical work done during the program. Learners complete assignments and projects using the Data Analytics tools taught in the curriculum, including Excel, SQL, Python, Power BI and Tableau. The capstone project offers the chance to apply the concepts covered during training.

Key Benefits of Our Data Analytics Certification:

  • Program Completion :Provides a record of successful completion of the Data Analytics program.
  • Online Verification :The certificate includes a verification reference that can be checked online.
  • Practical Learning :The training includes assignments, projects and a capstone project using Data Analytics tools.

The Data Analytics course in Mumbai provided by Uncodemy includes a verified Uncodemy Data Analytics Program Certificate that can be verified online through the official Uncodemy Certificate Portal.

Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com
 IIBA Endorsed Education Provider certificate — Uncodemy
 Uncodemy Data Analytics Program Certificate
 Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Portfolio review:Your experience and guided projects are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around your keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:SQL problem sets, Excel and BI tasks, case studies, and behavioral questions specific to analyst hiring.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Irshad Khan, Senior Trainer at Uncodemy, delivers this program. He brings 8+ years of experience across Data Science, Data Analytics, SQL, Power BI, Python and Generative AI. He also reviewed and signed off the curriculum on this page.

Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our Data Analytics Training in Mumbai Today!

Enroll in Uncodemy's Data Analytics Training in Mumbai today! Develop practical Data Analytics skills through instructor-led training, projects, assignments and career preparation. Start learning Data Analytics through instructor-led training, practical projects and structured career preparation.

Data Analyst Jobs and Career Scope in Mumbai+

Mumbai is India's financial capital and one of its most concentrated markets for analytics hiring, with demand distributed across its distinct commercial zones depending on the industry each one anchors. The Bandra Kurla Complex (BKC) is the primary hub for banking, financial services and insurance (BFSI) — global banks, NBFCs, asset management firms and financial technology companies all maintain large analytics teams there, hiring for risk modelling, fraud detection, credit scoring and regulatory reporting. Lower Parel and Worli have emerged as a second financial and corporate corridor, hosting global capability centres (GCCs), consulting firms and consumer-facing companies that need analysts for customer segmentation, pricing and performance tracking. Navi Mumbai — particularly the Airoli and Mahape nodes — has a substantial IT services and back-office operations cluster, where analytics roles often sit within larger delivery teams supporting global clients. Powai, anchored by the Indian Institute of Technology Bombay and the surrounding technology park, has a growing presence of product companies, fintech startups and data-driven logistics firms. Andheri East and Goregaon host media, entertainment and e-commerce companies that hire analysts for content performance, subscriber analytics and marketing attribution. Employers in Mumbai generally expect candidates to be comfortable with SQL as a baseline, and increasingly look for familiarity with Python and a BI tool — but what differentiates candidates in interviews is the ability to connect data work to a business outcome, whether that's reducing fraud losses, improving customer retention or optimising a supply chain.

Job Roles After This Course+

Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst are the roles this course maps to. Each of these roles overlaps heavily in the underlying skill set — SQL for pulling and shaping data, Excel for quick calculations and reporting, and a BI tool for building dashboards that stakeholders can self-serve from — but they differ in who you report to and what decisions your output feeds into.
Role Core Tools
Data Analyst SQL, Excel, Python, Power BI
Business Analyst SQL, Excel, BI tools
MIS Executive / Analyst Excel, SQL, Power BI
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Marketing / Product Analyst SQL, Python, BI tools
Operations Analyst Excel, SQL, Power BI
Most graduates start as a Data Analyst, MIS Analyst or Business Analyst and move into the others with two to four years of experience, as they build domain knowledge in a specific function such as marketing, operations or finance. The transition usually happens naturally once you've owned a few end-to-end reporting or analysis projects and can speak the language of the business unit you support, rather than through a formal certification alone.

Data Analyst Salary in Mumbai — Experience-wise+

Salaries for data analysts in Mumbai vary by experience level, sector and the depth of your SQL and BI skills, and the gap between the lowest and highest earners at the same job title is often wider than freshers anticipate. Mumbai's cost of living — particularly housing — tends to be higher than most Indian cities, and salary bands generally reflect that. A candidate who can only build dashboards typically sits at the lower end of a band; one who can also write efficient SQL, structure a business problem and present a clear recommendation tends to move to the top of the same band, and progress out of it faster.
Career Level / Role Indicative Salary Range
Entry-Level Data Analyst ₹3–6 LPA
Data Analyst (Mid-Level) ₹6–10 LPA
Senior Data Analyst ₹10–15 LPA
Business Intelligence Analyst ₹7–12 LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. Sector also plays a role — BFSI and consulting roles in BKC and Lower Parel tend to sit toward the higher end of each band because of the analytical rigour expected, while smaller startups may offer more responsibility early on in exchange for a slightly lower starting number. Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Analysts in Mumbai+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Mumbai specifically, analyst demand is strongest in:
  • Banking, financial services and insurance (BFSI)— concentrated in BKC and Lower Parel, for risk analytics, fraud detection, credit modelling and regulatory reporting, where SQL and statistical reasoning are essential
  • Consulting and professional services— also centred around BKC and Lower Parel, where analysts support client-facing teams with data-backed recommendations
  • IT services and global capability centres (GCCs)— across Navi Mumbai (Airoli, Mahape) and Powai, frequently hiring for offshore analytics and reporting functions
  • E-commerce, media and entertainment— in Andheri East and Goregaon, for marketing attribution, content performance, subscriber analytics and pricing
  • Healthcare, logistics and telecom— growing analytics functions as these sectors digitise operations and customer data across the Mumbai Metropolitan Region
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

How to Become a Data Analyst — Step by Step+

Becoming a data analyst is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job, especially when employers expect practical skills, problem-solving ability, and real-world experience.
  • Build Excel depth— lookups, pivot tables and Power Query, since Excel remains the fastest tool for quick, ad-hoc business questions.
  • Learn SQLto a working standard — joins, aggregations, subqueries and window functions, because almost every analytics role starts with pulling and shaping data from a database.
  • Add Python for scale— Pandas and NumPy for datasets Excel cannot handle, plus basic automation of repetitive reporting tasks.
  • Learn statistics— enough to run a hypothesis test and read a regression output, so your conclusions hold up when someone questions them.
  • Master one BI tool— Power BI or Tableau, to dashboard level, including DAX or calculated fields for more advanced logic.
  • Build three to five portfolio projects, each with a business question and a recommendation, ideally drawn from a sector you want to work in.
  • Prepare and apply— SQL practice, case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools.
Typical timeline:6–7 months of consistent study to reach interview-ready standard, assuming a few focused hours most days rather than occasional binge sessions.

How This Course Compares to Other Data Analytics Courses in Mumbai+

Mumbai has dozens of analytics training options at very different price points, ranging from short weekend workshops to multi-month bootcamps. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration 6–7 months
Learning hours 120+ hours
Tools covered 10+ tools
Gen AI module Dedicated 8-hour module
Projects 5 guided + 1 capstone
Career support Resume, LinkedIn, mock interviews, hiring network
The extra duration and tool coverage exist because most hiring managers today expect candidates who are comfortable moving between Excel, SQL, Python and a BI tool depending on the task, rather than being strong in only one. Where we are not the cheapest option:shorter self-paced courses cost less. If your goal is a quick Excel and Power BI refresher rather than a full career transition, a shorter program may suit you better, and it's worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

All three formats cover the identical syllabus, trainers and projects — the fee is the same, so the choice comes down to your own schedule and learning preference rather than content quality. Classroom near Mumbai — Noida Sector 1suits learners who want in-person doubt clearing and peer interaction, and who find it easier to stay consistent when they have a fixed place and time to show up. Live Onlinesuits working professionals and those outside Delhi NCR, letting them join live sessions from home and fit classes around a job or other commitments. Hybridsuits learners who want flexibility with occasional in-person sessions — useful if your schedule changes week to week but you still want some face-to-face time with trainers and batchmates. All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support, and the same career support, so switching formats midway (where allowed) does not mean losing any part of the program.

Is this course right for you?+

If you want... Recommend
Only Excel + Power BI basics A shorter course may be sufficient
Full analyst career transition This program
Heavy ML/Data Science Choose Data Science
Business-focused analytics Consider Business Analytics
Self-paced learning Recorded course

Frequently Asked Questions

1. What is the duration of the Data Analytics course in Mumbai?

The program runs for 6–7 months and includes 120+ hours of learning across 75+ live sessions. Weekday and weekend batches are both available.

2. Can I learn data analytics without a coding background?

Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first two months focus on Excel and SQL, which need no traditional coding.

3. What tools are covered in this course?

10+ tools including Excel, Power Query, SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Power BI, DAX, Tableau, and AI tools such as ChatGPT and Copilot applied to analytics workflows.

4. Does the course include a Gen AI module?

Yes. Module 8 is a dedicated 8-hour module on AI for data analysts, covering prompt engineering, AI-assisted SQL and Python, Copilot in Excel and Power BI, and verifying AI output.

5. How many projects will I complete?

Five guided projects across retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.

6. Are the classes live or pre-recorded?

All 75+ sessions are live and instructor-led, with recordings available afterwards for revision. Classroom, live online and hybrid formats all cover the identical syllabus.

7. What is the fee for the Data Analytics course in Mumbai?

The program fee is ₹17,500 plus 18% GST, totalling ₹20,650. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,032/month.

8. Are EMI options available?

Yes. EMI starts from ₹4,032 per month. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.

9. Is there a demo class before I enrol?

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

11. Can a fresher get a data analyst job after this course?

Yes, entry-level roles are open to freshers. Employers typically expect working SQL, one BI tool and a portfolio — this program is built to deliver all three. Entry-level salaries in Mumbai are indicatively ₹3–6 LPA.

12. What is the salary of a data analyst in Mumbai?

Indicative ranges are ₹3–6 LPA at entry level, ₹6–10 LPA at mid-level and ₹10–15 LPA for senior analysts. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.

13. What job roles can I apply for after this course?

Data Analyst, Business Analyst, MIS Executive, Business Intelligence Analyst, Reporting Analyst, Marketing Analyst, Product Analyst and Operations Analyst. Most graduates begin as a Data Analyst, MIS Analyst or Business Analyst.

14. Who is eligible for this Data Analytics course?

Any graduate from any discipline can enrol. No prior coding or analytics experience is needed. Final-year students, working professionals and career changers are all welcome.

15. Where is Uncodemy's centre relative to Mumbai?

Uncodemy does not operate a physical training centre in Mumbai. Our only physical centre is in Noida, at B 14-15, Udhyog Marg, Sector 1. Mumbai learners join the same batches online, with the same trainers and curriculum. If you prefer classroom training, you would need to attend at the Noida centre.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Course curriculumverified by Mr. Irshad Khan.
  • Technical contentverified by Mr. Upendra Kumar Tiwari.
  • Feeverified by Admin Department.
  • Placement figuressourced from internal placement records.
  • Review countsverified against respective third-party platforms.
  • Last reviewed:
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Come See the Uncodemy Campus

Uncodemy delivers this Data Analytics program to Mumbai learners in two ways: live online classes attended from anywhere in Mumbai, and classroom training at Uncodemy's Noida centre, located at B 14-15, Udhyog Marg, Sector 1, Noida — a 5-minute walk from Noida Sector-15 Metro Station. Uncodemy does not operate a physical training centre inside Mumbai. Mumbai learners join the same batches, with the same trainers and the same curriculum, either online or at the Noida centre.

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B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
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📍 Noida (Head Office) — Open in Google Maps