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Data Analytics Training Course in Noida With Gen AI by Uncodemy

At Uncodemy's own centre in Noida, the Data Analytics with Generative AI course runs as a hands-on, 6–7 month program built around Excel, SQL, Python, statistics, Power BI, Tableau and Generative AI. Classes are held in person at our Sector 1 facility or streamed live for remote learners, backed by real projects, session recordings and full career support. Fees stand at ₹17,500 plus GST, bringing the total to ₹20,650.

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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

An AI-integrated Data Analytics Training & Placement Program built around hands-on skill-building and interview readiness.
Delivered as a 6–7 month instructor-led course from our Noida centre , it walks learners through Excel, SQL, Python, statistics, Power BI, Tableau and Generative AI , supported by real projects, one-to-one mentoring and career guidance.
📚 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 Noida — 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:
Classroom at Sector 1 & Live Online
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
15 September 2026

List of Placed Students Trained by Uncodemy

Graduates of Uncodemy's Data Analytics programs build hands-on ability in Excel, SQL, Python, Power BI, Tableau and applied data analysis. The outcomes listed below are shared directly by Uncodemy. Results differ from learner to learner, shaped by skill level, experience, interview strength, qualifications and what each employer is looking for.

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

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

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

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

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Analytics Batch
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

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

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

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Analytics Batch
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

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

What is Data Analytics?

Data analytics means digging into raw information to uncover patterns, answer real business questions and guide decision-making. It brings together data cleaning, statistical work and visualisation, turning messy, scattered records into insight anyone can act on. Businesses rely on it to read customer behaviour, monitor performance, cut unnecessary costs and predict what's coming next.

What does a data analyst do?A data analyst pulls information from company systems and databases, tidies it up, digs out the trends, and turns findings into dashboards and reports people actually use. On any given week, that might mean writing SQL, putting together Excel or Python models, building out Power BI or Tableau visuals, then walking marketing, finance, product or ops teams through what it means for them.

Data Analytics vs Data Science vs Business Analytics

Data analytics tells you what already happened, and why. Data science looks ahead to what's likely next. Business analytics zeroes in on process 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

At our Noida centre, the Data Analytics course spans 6–7 months, 75+ live sessions and 120+ learning hours, spread across nine progressively building modules — Excel, SQL, Python, statistics, Power BI and Tableau, plus a module dedicated entirely to using AI tools in everyday analytics tasks. Each module wraps up with hands-on work on genuine datasets, and by the end, capstone projects become the foundation of your portfolio. Trainers run every session live, with recordings kept for later review. You can join in person at Sector 1 or attend the same classes online. Hybrid slots depend on the batch.

This course is built for:

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

Eligibility: Any graduate degree qualifies. You don't need coding experience going in — Python and SQL start from zero. A basic comfort with maths helps but isn't mandatory, since the statistics module rebuilds those fundamentals from scratch. For the hands-on sessions, we'd suggest a laptop with at least 8GB RAM and a dependable internet connection.

Upcoming Data Analytics Course Batches in Noida

Pick a batch slot that works for your routine. Sit in on a free demo class before deciding, or jump into our upcoming weekday and weekend live batches — built with working professionals and students both in mind, flexible timing included

Weekdays

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

Weekends

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

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

Curriculums for Data Analytics Training Courses In Noida

Data Analytics Course Syllabus in Noida

Nine modules make up the syllabus, covering 120+ learning hours, sequenced the way analysts actually approach a problem — pull the data, clean it up, break it down, make sense of it, visualise it, then explain it. Every module closes with a graded assignment on a genuine dataset, and the last one pulls it all together into portfolio work.

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
1Excel for Data Analytics12Excel, Power Query
2SQL & Database Management18MySQL
3Python for Data Analytics20Python, Pandas, NumPy
4Statistics & Business Mathematics12Excel, Python
5Data Cleaning & EDA12Python, Pandas
6Power BI18Power BI Desktop
7Tableau10Tableau Public
8AI & Gen AI for Analysts8ChatGPT, Copilot
9Capstone & Career Prep10All tools
Total 120 Hours 10+ tools

Curriculum Reviewed 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 Noida

Finish all nine modules along with the assignments and capstone, and you'll be issued the Uncodemy Data Analytics Program Certificate. It carries the program name, how long it ran, the tools you covered, your completion date, and a reference you can use to verify it. The certificate is awarded once the required coursework and assessments are done, standing as proof you completed the Uncodemy Data Analytics program in full.

Alongside the certificate, you keep the practical work you built along the way. Throughout the program, learners tackle assignments and projects using the same Data Analytics tools taught in class — Excel, SQL, Python, Power BI and Tableau. The capstone then lets you bring everything you've learned into one applied piece of work.

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 Noida provided by Uncodemy includes a verified Uncodemy Data Analytics Program Certificate that can be verified online through the official Uncodemy Certificate Portal.

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

Tools and Technologies Covered

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Introducing Uncodemy


Portfolio review: We take your guided projects and shape them into a portfolio that actually holds up under interview scrutiny.

Resume & LinkedIn: Your resume gets built around the keywords and results that matter, with your LinkedIn brought in line to match.

Interview prep: Expect SQL practice sets, Excel and BI tasks, case studies and the kind of behavioural questions analyst interviews actually ask.

Mock interviews: Run with our trainers, followed by clear written notes on where to improve.

Opportunity sharing: We surface relevant openings from our 850+ company hiring network and stay involved through the application and interview stages.

Continued support: What we offer is real, ongoing help — not a job guarantee, because no institute can honestly hand you one. Once your program wraps, support keeps going for anyone who stays involved in the process.

Instructors

The people who actually teach this course

Irshad Khan, Senior Trainer at Uncodemy, leads this program, bringing 8+ years across Data Science, Data Analytics, SQL, Power BI, Python and Generative AI. He's also the one who reviewed and approved the curriculum you see here.

Most institutes blur two jobs into one; Uncodemy keeps them apart. Trainers handle the live teaching. A separate group of domain reviewers — specialists who never teach the batch — check that the curriculum stays accurate and up to date. Upendra Kumar Tiwari reviews the technical content for this program, so the person teaching it isn't the only one vouching for it.

Uncodemy publishes every trainer and domain reviewer by name, along with their area of focus and background — so you can check them out before enrolling, not afterward.

Google Reviews

What our learners say

Verified Google reviews from our Data Analytics

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Enroll in Our Data Analytics Training in Noida Today!

Join Uncodemy's Data Analytics program in Noida and start building. Instructor-led training, real projects, assignments and career prep — all designed to get practical skills into your hands. Begin with structured, hands-on Data Analytics learning today.

Data Analyst Jobs and Career Scope in Noida+

Among NCR cities, Noida has carved out a distinct hiring profile for data analysts — different from Gurugram's, different from Delhi's own. Gurugram's strength sits in consulting, financial services and global capability centres; Noida's, by contrast, runs on IT services, e-commerce, edtech and healthcare-technology employers, many headquartered here rather than just staffed here. That distinction matters — these companies tend to hire analysts who sit close to product and engineering, not tucked away purely in finance or reporting. Sector 62, Sector 63 and the stretch along the Noida–Greater Noida Expressway hold a dense concentration of IT parks, while the Film City and Sector 16 media-and-gaming cluster brings its own flavour of analytics work — audience data, campaign performance, content metrics. E-commerce and D2C companies here hire heavily for marketing, supply chain and pricing analytics, where speed and business judgement outweigh academic polish. IT services firms bring on analysts in batches for offshore reporting work tied to international clients, which usually means structured onboarding and predictable hiring windows. As everywhere in NCR, SQL and one BI tool are now the baseline, not the edge — what sets candidates apart in Noida interviews is often their ability to tie data into a product or engineering conversation, since so many roles here sit right next to build teams.

Job Roles After This Course+

This course lines up with roles like Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst. The underlying skills across these overlap a lot — SQL to pull and shape data, Excel for fast reporting and calculations, a BI tool to build dashboards stakeholders can dig into themselves — but they split apart in terms of who you answer to and what your work actually feeds into.
Role Core Tools
Data AnalystSQL, Excel, Python, Power BI
Business AnalystSQL, Excel, BI tools
MIS Executive / AnalystExcel, SQL, Power BI
Business Intelligence AnalystPower BI, Tableau, SQL, DAX
Marketing / Product AnalystSQL, Python, BI tools
Operations AnalystExcel, SQL, Power BI
Most people start out as a Data Analyst, MIS Analyst or Business Analyst, then shift into the other roles after two to four years, once they've built real depth in a function like marketing, operations or finance. That shift tends to happen naturally — after you've owned a few reporting or analysis projects start to finish and can talk the language of the business unit you work with, more than through any certificate alone.

Data Analyst Salary in Noida — Experience-wise+

Data analyst pay in Noida tracks fairly closely with the wider NCR market, though IT services and product companies here often structure pay differently from the BFSI-and-consulting-heavy packages common around Gurugram — expect a somewhat larger fixed component and a thinner variable slice in a lot of Noida-based roles. The gap between the lowest and highest earner at the same title still tends to come down to SQL depth and the ability to present, not just build.
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 — product and IT services roles in Sector 62 and along the Expressway tend to reward depth in SQL and product thinking, 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 Noida+

Our hiring network spans 850+ companies across India — large enterprises, mid-size firms and startups on the rise — giving learners a real mix of hiring processes and interview styles to prepare for. Here in Noida, analyst demand runs strongest across:
  • IT services and global capability centres — clustered in Sector 62, Sector 63 and along the Expressway, frequently hiring for offshore analytics and reporting functions
  • E-commerce and D2C — marketing, pricing and supply chain analytics, often with fast-moving, metric-driven teams
  • Edtech and healthcare technology — product and engagement analytics, where analysts sit close to product managers
  • Media, gaming and entertainment — the Film City and Sector 16 cluster, working on audience data, campaign performance and content metrics
  • BFSI, logistics and telecom — risk, fraud, customer and operations analytics as these sectors deepen their data functions
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+

Getting to data analyst isn't about one course — it's a sequence of skills stacked on top of each other, and skipping ahead tends to surface later, in interviews or on the job.
  • Build Excel depth — lookups, pivot tables and Power Query, since Excel remains the fastest tool for quick, ad-hoc business questions.
  • Learn SQL to 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 Noida+

Noida has its own share of analytics training providers, spanning everything from weekend workshops to multi-month bootcamps at very different price points. Here's an honest comparison so you can weigh the fit yourself, not just take our word for it.
Factor This Program
Duration6–7 months
Learning hours120+ hours
Tools covered10+ tools
Gen AI moduleDedicated 8-hour module
Projects5 guided + 1 capstone
Career supportResume, LinkedIn, mock interviews, hiring network
The longer duration and broader tool coverage reflect what hiring managers actually look for now — comfort moving between Excel, SQL, Python and a BI tool as the task demands, rather than depth in just one. Where we're not cheapest: shorter, self-paced courses exist for less. If all you need is a quick Excel and Power BI refresher rather than a full career shift, a shorter course might genuinely serve you better — worth being honest about which one you need.

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

Whichever format you pick, the syllabus, trainers, projects and fee stay exactly the same — so the decision really comes down to your schedule, not content quality. Classroom at our Sector 1 centre works well if you want face-to-face doubt-clearing and the structure of a fixed place and time. Live Online suits anyone outside easy reach of Noida, or working professionals fitting classes around a job. Hybrid gives you flexibility with occasional in-person sessions — handy if your week doesn't follow a fixed pattern but you still want some time with trainers and batchmates. Every format includes live instruction, recorded sessions, doubt support and identical career backing, so switching formats mid-course (where possible) costs you nothing.

Is this course right for you?+

If you want... Recommend
Only Excel + Power BI basicsA shorter course may be sufficient
Full analyst career transitionThis program
Heavy ML/Data ScienceChoose Data Science
Business-focused analyticsConsider Business Analytics
Self-paced learningRecorded course

Frequently Asked Questions

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

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, SQL, Python, statistics, Power BI, Tableau and Generative AI

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 Noida?

The program fee is ₹17,500 plus 18% GST, Total Fee is ₹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 Noida are indicatively ₹3–6 LPA.

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

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. Are the salary, placement and review figures on this page guaranteed?

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Course curriculum verified by Mr. Irshad Khan.
  • Technical content verified by Mr. Upendra Kumar Tiwari.
  • Fee verified by Admin Department.
  • Placement figures sourced from internal placement records.
  • Review counts verified against respective third-party platforms.
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Come See the Uncodemy Campus

This is where Uncodemy actually trains people — not a partner space, not a satellite office. The Data Analytics program runs from B 14-15, Udhyog Marg, Sector 1, Noida, a 5-minute walk from Noida Sector-15 Metro Station, with the same course also streamed live online for anyone who can't make it in person. Every trainer on this page teaches from this address. Whether you sit in the room or join online, you're in the same batch, taught by the same people, working through the same curriculum.

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B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Opening hours
Tuesday06:00 - 22:30
Wednesday06:00 - 22:30
Thursday06:00 - 22:30
Friday06:00 - 22:30
Saturday06:00 - 22:30
Sunday06:00 - 22:30
Monday06:00 - 22:30
Phone 9818366550
Website uncodemy.com
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