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Data Analytics Training Course in Delhi With Gen AI by Uncodemy

Uncodemy's Data Analytics with Generative AI course in Delhi is a 6–7 month instructor-led program covering Excel, SQL, Power BI, Python, statistics and applied AI. Training is available online and from Uncodemy's Noida centre, with practical projects, recordings and career-support services. The current course fee is ₹17,500 + GST, Total fees is ₹20,650.

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Dedicated Career & Placement AssistanceResume Building, Mock Interviews & Job Support
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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 programcovering 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 Delhi — 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:7 September 2026
What is Data Analytics?

Data analytics is the practice of examining raw data to find patterns, answer business questions and support decisions. It combines data cleaning, statistical analysis and visualisation to turn scattered records into clear insight. Organisations use it to understand customer behaviour, track performance, reduce costs and forecast what is likely to happen next.

What does a data analyst do?A data analyst collects data from databases and business systems, cleans it, analyses it for trends, and presents findings through dashboards and reports. A typical week involves writing SQL queries, building Excel or Python models, creating Power BI or Tableau visuals, and explaining results to marketing, finance, product or operations teams so they can act on them.

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

The Data Analytics course in Delhi runs for 6–7 months across 75+ live sessions and 120+ hours of learning, structured in nine modules that build on each other — Excel, SQL, Python, statistics, Power BI and Tableau, with a dedicated module on how AI tools are used in day-to-day analytics work. Every module includes practical exercises on real datasets, and the program closes with capstone projects that become your portfolio. Sessions are delivered live by industry trainers, with recordings available for revision. Training is available 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:a graduate degree in any discipline. No prior programming experience is required — Python and SQL are taught from the first line of code. Comfort with basic mathematics is helpful but not essential; the statistics module builds this 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.

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Free Demo Session

Not sure yet? Attend a free live demo class and experience our teaching style, trainer expertise, and curriculum before you enroll — no cost, no commitment.

  • Duration:45 Minutes
  • Format:Live Q&A + Curriculum Walkthrough
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Weekend Batches

  • Date:12 Sep 2026
  • Time:10:30 AM – 12:30 PM
  • Trainer:Mr. Rahul
  • Topic:Excel + Power BI
  • Mode:Online / Offline
  • Seats Left:02 Seats
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Weekdays Batches

  • Date:14 Sep 2026
  • Date:7 Sep 2026
  • Date:7 Sep 2026
  • Date:7 Sep 2026
  • Topic:Excel
  • Mode:Online
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Curriculums for Data Analytics Training Courses in Delhi

Data Analytics Curriculum

The curriculum has been designed by Expert Industry Professionals Mr Irshad Khan.

time
120+

Hours of Learning

live1-removebg-preview
75+

Live Sessions

tools
10+

Tools & Technologies

Data Analytics Course Syllabus in Delhi

The syllabus is organised into nine modules covering 120+ hours of learning, following the order analysts actually work in — get the data, clean it, analyse it, interpret it, visualise it, and communicate it. Each module ends with a graded practical assignment on a real dataset, and the final module consolidates everything 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

    Curriculum Verified 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 Delhi

    On completing all nine modules, the assignments and the capstone project, you receive the Uncodemy Data Analytics Program Certificate. The certificate records the program name, duration, tools covered and completion date, along with a verification reference. Certification is issued on completion of the required coursework and assessment, providing a record of successful completion of the Uncodemy Data Analytics program.

    The certificate is provided along with the practical work completed during the program. Learners work on assignments and projects using the Data Analytics tools covered in the curriculum, including Excel, SQL, Python, Power BI and Tableau. The capstone project provides an opportunity to apply the concepts covered during the 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 Delhi provided by Uncodemy includes a verified Uncodemy Data Analytics Program Certificate that can be verified online through the official Uncodemy Certificate Portal.

    Tools and Technologies covered
    • Excel-LogoExcel
    • Tableau-LogoTableau
    • Power-BI-Symbol-LogoPower-Bi
    • Numpy-LogoNumpy
    • Python-LogoPython
    • Pandas-LogoPandas
    • sql-LogoSQL
    • Statistics Tool LogoStatistics
    • ChatGpt LogoChatGPT
    • Copilot LogoCopilot
    Introducing Uncodemy

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

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

    Interview preparation:SQL problem sets, Excel and BI tasks, case studies, and behavioural 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

    This program is taught by Irshad Khan, Senior Trainer at Uncodemy, with 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 Delhi Today!

    Enroll in Uncodemy’s Data Analytics Training in Delhi 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 Delhi NCR

    Delhi NCR is one of India's largest hiring markets for data analysts, with demand spread unevenly across the region depending on the industry cluster each city has built up. Gurugram carries the heaviest volume — consulting firms, global capability centres, financial services and insurance companies all run large analytics teams there, often hiring in batches as part of graduate and lateral programs. Noida has a strong base of IT services, e-commerce, edtech and healthcare technology employers, many of whom need analysts who can work directly with product and engineering teams. Central and South Delhi host government analytics roles, research organisations, media houses and a growing set of startups building consumer and B2B products. BFSI hires heavily for risk, fraud and customer analytics, where SQL and statistical reasoning matter as much as dashboarding; e-commerce and D2C brands hire for marketing, supply chain and pricing analytics, where speed and business context matter more than academic depth; consulting firms hire generalist analysts who can move across client problems every few months and need to pick up new domains quickly. Across all of these, employers now expect SQL and a BI tool as a baseline rather than a differentiator — what actually separates candidates in interviews is the ability to frame a business question, choose the right metric, and explain a recommendation in plain language rather than just producing a chart.

    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 Delhi — Experience-wise

    Salaries in Delhi NCR vary by experience level, sector and how strong your SQL and BI skills are, and the gap between the lowest and highest earners at the same title is often wider than freshers expect. 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 recordsReviewed: September 2026 Sector also plays a role — BFSI and consulting roles in Gurugram 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 Delhi NCR

    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 Delhi NCR specifically, analyst demand is strongest in:
    • BFSI— banking, insurance, NBFCs and fintech, for risk, fraud and customer analytics, where regulatory reporting also creates steady demand for analysts
    • Consulting and professional services— concentrated in Gurugram, where analysts support client-facing teams with data-backed recommendations
    • E-commerce and D2C— marketing, pricing and supply chain analytics, often with fast-moving, metric-driven teams
    • IT services and global capability centres— across Noida and Gurugram, frequently hiring for offshore analytics and reporting functions
    • Healthcare, edtech, logistics and telecom— growing analytics functions as these sectors digitise their operations and customer data
    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 Delhi

    Delhi 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 Delhi — 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

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

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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.

    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 Delhi NCR are indicatively ₹3–6 LPA.

    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.

    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.

    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.

    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

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    Come See the Uncodemy Campus

    Uncodemy delivers this Data Analytics program to Delhi and Delhi-NCR learners in two ways: live online classes attended from anywhere in Delhi, 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 Delhi. Delhi learners join the same batches, with the same trainers and the same curriculum, either online or at the Noida centre.