Data & Business Analytics Nano Degree · Agentic AI-Powered [ For beginners and experienced learners ]

Data & Business Analytics Nano Degree (Agentic AI 2.0)

Master data-driven, visually appealing, AI-powered analytics: Excel, SQL, Python, Power BI and Looker Studio, plus the agentic modules that make it 2.0. Learn to command AI as a tool, model data so the numbers agree, and ship analysis as a service.*

* Full refund if no job offer through the program. T&C apply.

[ Mentors ]
2 MentorsA senior data consultant and an analytics lead
[ Duration ]6 Months100+ live sessions · 40+ projects
[ Credential ]Nano DegreeAwarded by Eshan College, plus 10+ certificates
[ Job Portal ]44,517+Analytics jobs on our portal from day one
[ Upcoming Batch ]
40 seats openoffer ends in --:--:--
Proof First

Our Alumni In Top Companies

Analyst, BI and data roles at these firms, and 500+ others that hire from Jobaaj Learnings.

Amazon Zomato Accenture Deloitte ZS Infosys TCS Cognizant IBM
30–40%Salary hike
9–14 LPAAverage package
500+Hiring partners
44,517+Analytics jobs on our portal
5M+Learners trust Jobaaj
Who Teaches You

Meet Your Mentors

A senior data consultant and an analytics lead. They take the live sessions, the graded labs and your mock interviews.

Shiva Vashishtha
Instructed By

Shiva Vashishtha

Sr. Data Consultant at Alliance Tek

Takes the live analytics sessions and the labs, and reviews your work as you build it.
Sr.data consultant
Liveanalytics sessions
1:1mock interviews
Rakshit Vig
Rakshit VigEx-PwC Analytics Consultant · CTLP Analytics Global Head · takes the BI and analytics sessions
What They CoverIndustry overview, hands-on labs, product and business analytics, and 1:1 mentorship, taught live across the program.
Course Highlights

What You'll Gain From This Course

Live teaching, real analytics work, a mentor of your own, and placement support to land you an offer.

Interactive Learning

Immerse yourself in 100+ live instructor-led sessions, providing real-time interaction and hands-on learning.

Real-World Projects

Build real, portfolio-ready analytics projects on messy multi-source data, built to mirror real business questions.

Unlimited Access

Enjoy lifetime access to the course materials, allowing you to learn at your own pace and revisit content anytime.

Personalized Mentorship

Benefit from 1:1 mentorship, with personalized guidance and expert support throughout your learning journey.

Job Guarantee

Receive 100% job support, including tailored assistance to help you land your dream job in data and analytics.

Mega Job Opportunities

Access a job portal featuring over 6,78,953+ job opportunities, connecting you with the best roles in the industry.

Professional Tools

Leverage our Premium Resume Builder and Premium LinkedIn Optimizer to enhance your professional profile.

Industry-Driven Curriculum

Master the latest tools and techniques with a curriculum designed in collaboration with industry experts, ensuring you stay ahead.

AI-Powered

12+ Tools Covered

The analytics workflow with agents on every stage. AI is taught inside the modules where you would actually use it, not as a separate add-on.

  1. 01
    Ingest & CleanAny source, then agent-assisted cleaning with the checks that catch what the agent gets wrong
  2. 02
    ModelFact and dimension tables, grain and metric definitions two people compute identically
  3. 03
    Analyse & VerifySQL, statistics and A/B design, reconciled to a source of truth before it ships
  4. 04
    ShipVersion control, incremental loads, freshness checks and scheduling, so your work runs without you
12+ AI ToolsCovered across the four steps
12+ AI tools covered in the program
Fit

Who Is This Program For?

Starting from zero, or stuck at a ceiling. No coding experience needed to begin.

Students & Freshers

From any stream. Graduate job-ready with the tools and the agentic skills that recruiters are hiring for now.

Excel-Heavy Professionals

If your day is spreadsheets, move up to SQL, Python and BI, and let agents take the repetitive work off your plate.

Analysts Hitting A Ceiling

Add statistics, data modeling and analytics engineering to go from pulling numbers to owning the pipeline.

Career Switchers

Commercial, ops or support background? No coding experience needed to start. The program takes you from zero.

Working Professionals

Add data skills to sales, marketing, finance or product work and become the person who answers with evidence.

Growth Mindset

If you like turning messy data into a decision, this program will turn out to be your best investment.

Rebuilt For The Agentic Era · 13 Modules · 100+ Live Sessions

Data & Business Analytics Course Syllabus

Same programme. Rebuilt for the agentic era.

The full tool stack you'd expect, plus the agentic modules that make it 2.0. Thirteen modules, taught in order, updated every month so you learn to command the agents instead of competing with them.

013 topics

Data Literacy & Analytics Foundations

How to think like an analyst before you touch a tool.

  1. Data Literacy
  2. Analytical Thinking
  3. The Analyst's Workflow
0210 topics

Microsoft Excel

The tool every analytics job still runs on.

  1. Essential Formula Knowledge
  2. Intermediate Formula Knowledge
  3. All about Lookups in Excel
  4. Data Analysis
  5. Data Visualization
  6. All about Pivot in Excel
  7. Dashboards, Power Query & Power Pivot
  8. Modern Excel
  9. Excel with AI
  10. Excel Projects
0310 topics

SQL

Pull the data yourself, from one table or twenty.

  1. Database Literacy & SQL Concepts
  2. SQL Constraints
  3. DML
  4. Aggregate & Important Functions
  5. Joins
  6. Subqueries, CTEs & Views
  7. Window Functions
  8. Business Query Patterns
  9. SQL with AI
  10. SQL Interview Drills
0410 topics

Python Programming

The language behind modern analysis and automation.

  1. Conditional statements
  2. Looping
  3. String
  4. Functions
  5. List
  6. Dictionary
  7. Tuple & Sets
  8. Library
  9. Working Practices
  10. Python Interview Drills
0510 topics

Python For Data Analysis (NumPy & Pandas)

Wrangle and explore real datasets at scale.

  1. NumPy
  2. Pandas Series & DataFrame Fundamentals
  3. DataFrame Filtering & Data Extraction
  4. Data Input and Output
  5. Aggregation
  6. Combining Data
  7. Reshaping & Hierarchical Index
  8. Time Series
  9. EDA & Visualisation
  10. pandas with AI
0610 topics

Power BI

Turn a model into dashboards a leadership team reads.

  1. Introduction & Power BI Architecture
  2. Power Query: Transform, Merge & Append
  3. Data Modeling & Relationships
  4. DAX & Calculated Columns
  5. DAX Functions: Statistical, Text, Filter
  6. Time Intelligence Functions
  7. Visualization & Dashboard
  8. Security, Refresh & Performance
  9. Power BI with AI
  10. Power BI Projects
079 topics

Looker Studio

Fast, shareable dashboards on live data.

  1. All About Tables
  2. Aggregation
  3. Important Visuals
  4. All about Controls
  5. Custom Fields
  6. Data Blending
  7. Sharing Dashboard
  8. Looker Studio Project
  9. Looker Studio with AI
085 topics

Product & Business Analytics

Tie the numbers to the business decision.

  1. Scope of Product Management
  2. Tools for Product Managers
  3. Business Analytics
  4. Case Frameworks
  5. Stakeholder Work
0910 topics

AI-Assisted Analytics With Claude Code

Command AI as a tool, not a chat box.

  1. Installing Claude Code and terminal basics for analysts
  2. CLAUDE.md: encoding schema, metrics and business context
  3. Writing a specification: intent, inputs, constraints, definition of done
  4. Iterating in small steps with checkpoints
  5. The verification checklist: rows, grain, nulls, duplicates, totals
  6. Reconciling to a known source of truth
  7. Writing assertions and test queries before trusting output
  8. LAB: find the planted errors in generated analysis
  9. MCP connectors: databases, Drive, Sheets and BI tools
  10. Credentials, secrets and safe handling of company data
1010 topics

Statistics & Experimentation

Design an experiment and know when not to ship.

  1. Populations, samples and sampling bias
  2. Standard error and confidence intervals
  3. Hypothesis testing: null, alternative, p-value, alpha
  4. Type I and Type II errors, and statistical power
  5. Choosing the right test: t-test, chi-square, ANOVA
  6. A/B test design: unit, metric, MDE, duration
  7. Randomisation, sample ratio mismatch and validity checks
  8. Reading a test readout and deciding not to ship
  9. Correlation vs causation, confounders and Simpson's paradox
  10. Regression as an analyst uses it: interpretation over derivation
1110 topics

Data Modeling & Metric Design

Model data so two analysts get the same number.

  1. Fact and dimension tables in depth
  2. Choosing the grain of a fact table
  3. Star vs snowflake, and when denormalising wins
  4. Slowly changing dimensions type 1 and 2
  5. Defining a metric so two people compute it identically
  6. Metric trees and driver decomposition
  7. North-star, input and guardrail metrics
  8. Semantic layers and a single source of truth
  9. Generating a model from a business brief, then critiquing it
  10. Case: model a subscription business end to end
1210 topics

Analytics Engineering & Automation

Ship analysis as a service that runs without you.

  1. Git and version control for analysts
  2. Code review: treating AI output like a colleague's pull request
  3. ELT vs ETL and where transformation belongs
  4. Modular SQL transformation and dbt-style thinking
  5. Idempotency, incremental loads and backfills
  6. Data tests, freshness checks and alerting
  7. Scheduling and orchestration basics
  8. Build a recurring report as a repeatable pipeline
  9. Wire a warehouse via MCP and query it conversationally
  10. Ship a small internal analytics tool
138 topics

Capstone

Build it with agents, then defend it without them.

  1. Brief: multi-source messy data, ambiguous business question
  2. Deliverable: data model and documented metric definitions
  3. Deliverable: pipeline in a version-controlled repo
  4. Deliverable: dashboard built on the model
  5. Deliverable: recommendation memo to a decision maker
  6. Deliverable: AI usage and verification log
  7. Live defense: explain any decision without AI assistance
  8. Peer review of another cohort member's build
Alongside The Modules
Live doubt-clearingGraded labsIndustry veteransCommunication & aptitude trainingQuizzesInterview drills

What's A Great Curriculum Without Hands-On Experience?

Real-world job simulation projects, built with your instructors, on messy multi-source data. Four opened up here. Each has a problem, a build with agents, and a live defence you give without them.

01Retail · multi-source modelRE
RERetail
01 / 04

Retail Sales: A Model The Numbers Agree On

Messy sales, returns and inventory feeds from three systems. Design a fact-and-dimension model, define the metrics so two analysts get the same revenue number, and reconcile every total to a source of truth.

Data modelingMetric designSQLVerification
02SaaS · churn & experimentSA
SASaaS
02 / 04

SaaS Churn: Read The Experiment, Then Decide

A subscription business wants to cut churn. Frame the hypothesis, design the A/B test, compute confidence intervals and power, and write the readout that says whether to ship, or not.

StatisticsA/B testingPython & pandasRecommendation memo
03Product · funnel dashboardPR
PRProduct
03 / 04

Product Funnel: A Dashboard On Your Own Model

Build a Power BI dashboard on a model you designed, not a flat extract handed to you: acquisition, activation and retention, with DAX measures a stakeholder can actually read.

Power BIDAXData modelingDashboarding
04Ops · agentic pipelineOP
OPOps
04 / 04

Operations: Ship Analysis As A Service

Wire agents to real systems through MCP, build a version-controlled pipeline with incremental loads and freshness checks, and keep an AI verification log of what you asked and how you checked it.

Claude CodeAnalytics engineeringAutomationAI verification
Apply now
Toolkit

Tools And Technologies We Are Covering

The full analytics stack you'd expect, plus the agentic tools that make it 2.0. Each is taught hands-on, inside the module where you would use it.

Query & AnalyseWhere the analysis happens
Excel
ExcelFormulas, pivots and Power Query
SQL
SQLJoins, CTEs and window functions
Python
PythonNumPy, pandas and automation
NumPy & Pandas
NumPy & PandasWrangle data at scale
VisualiseWhere the story gets told
Power BI
Power BIData modeling and DAX
Looker Studio
Looker StudioFast, shareable dashboards
Tableau
TableauVisual storytelling
Dashboards
DashboardsReports stakeholders read
Agentic 2.0What makes it 2.0
Claude Code
Claude CodeCommand AI as a tool
Analytics Engineering
Analytics EngineeringModular, version-controlled pipelines
Automation
AutomationScheduling and freshness checks
Statistics & AI
Statistics & AIExperiments, checked before shipping
The Mega Bonus

Mega Bonus: FREE Bonus Tickets

Two bonus tickets come with the Nano Degree. Both open the day you enrol, and both stay open for six months.

Included FREE 6 months access · included with the Nano Degree
  • Unlocked on enrolment
  • No separate sign-up
Live44k+Data Jobs
Live job openings

Data & Analytics Jobs

Data analyst, BI, business analyst and analytics-engineer openings on our own job portal, matched to you by the placement team from day one.

See data jobs
AccessCareerPrep
Included with the Nano Degree

Resume Builder & LinkedIn Optimizer

Our premium resume builder and LinkedIn optimizer, plus mock interviews and technical drills, to get your analyst profile recruiter-ready.

ROI

Investment Vs Return

What the Nano Degree costs you, against what the roles it targets pay.

Investment
₹1.20 Lac + 200 Hours In training
Return
Salary up to ₹16.5 LPA Average ₹9–14 LPA

Payscale puts pay for professionals skilled in Power BI and modern analytics at roughly ₹5 lakh to ₹16.5 lakh; placed learners average 9–14 LPA. The top of the range is not a guaranteed outcome.

Guaranteed Internship

Kickstart Your Analytics Career With An Internship

A guaranteed 6-month internship in data analytics after the program, with a certificate of completion. Your first analyst role should not be the first time you ship a real dashboard.

  • Kickstart your analytics career with a guaranteed internship post-program.
  • Intern as a data analyst in one of the fastest-growing edtechs in India.
  • Receive a certificate of completion after the internship period.
  • Start preparing for roles in top data teams with the aid of our HRs.
Where This Leads

Data & Business Analytics Specialist And More Jobs!

The demand for skilled analysts shows no sign of slowing down. These are the profiles the program prepares you for.

Data Analyst

Turns messy data into the answer a business decision needs.

Business Analyst

Bridges the business question and the data behind it.

Power BI / BI Developer

Models data and builds the dashboards leaders read.

Product Analyst

Funnels, retention and the metrics behind product decisions.

Analytics Engineer

Owns the pipeline: models, transformations and scheduling.

Data Scientist (entry)

Statistics, experiments and predictive work on real data.

The Analytics Ladder

Where the Nano Degree places you, and where the track goes.

  1. You start hereData / Business Analyst
  2. Senior Analyst
  3. Analytics Lead / Engineer
  4. Head Of Data / Analytics Manager

Other Roles This Opens

Business Intelligence DeveloperReporting AnalystMarketing AnalystOperations AnalystData Consultant

Skills The Job Descriptions Ask For

SQLPython & pandasPower BI & DAXExcelStatistics & A/BData modelingStorytellingStakeholder work
It's Time For Placement

Placement Process

Placement work starts on day one, not after the last class. Four milestones, run by the placement team alongside your learning.

Once your assignments are verified, the HR team contacts you within 48 hours to start milestone 1.
  1. 1
    Milestone 1 · Week 1 Career Enhancement Services
    • Targeted job role: identify the right developer roles to focus on.
    • Customized resume: a new, ATS-optimized resume built with our HRs.
    • LinkedIn and Naukri: profiles curated with our premium tools.
  2. 2
    Milestone 2 · Ongoing Professional Growth Support
    • Profile boost: expert mentoring on how recruiters read you.
    • Job leads: exclusive openings from our job portal.
    • Mentor support: feedback rounds on your resume and portfolio.
  3. 3
    Milestone 3 · Interviews Comprehensive Interview Preparation
    • Mock interviews: SQL, Python and BI rounds, run without AI, like the real thing.
    • Profile evaluation: personalized feedback from a mentor.
    • Interview assistance: guidance before every round.
  4. 4
    Milestone 4 · Until placed Exclusive Job Referral Services
    • Dedicated HR executive: reaches out to clients, partner companies and external companies for you.
    • Alumni referrals: the alumni network opens doors.
    • Until you're placed: interview opportunities continue until you secure a position.
100% job guarantee ATS-friendly resume building Mock interviews Job preparation material Job leads from our job portal
Learners Who Did It

Recent Career Transitions!

Graduates and career switchers who moved into data. Where they started, and where the placement team took them.

Mohi
MohiData Analyst
My journey as an aspiring Data Analyst took a real shift with Jobaaj Learnings. Their Data Analyst Program strengthened my skills and confidence, helping me step into a Data Analyst role at mFilterIt and kickstart my analytics career.
BeforeBBA Graduate
AfterData AnalystEmployer logo
Umang
UmangBusiness Analyst
Securing a Business Analyst role as a B.Com graduate has been a milestone I'm proud of. Thanks to Jobaaj Learnings for empowering my journey and supporting my placement into such a strong role.
BeforeB.Com Graduate
AfterBusiness AnalystEmployer logo
Manan
MananPower BI Developer
I started as a B.Tech student passionate about data, and thanks to Jobaaj Learnings, I'm now a Power BI Developer creating impactful insights.
BeforeB.Tech Fresher
AfterBI DeveloperEmployer logo
Kriyansh
KriyanshBusiness Analyst
As a B.Tech graduate, getting placed as a Business Analyst feels like a proud milestone in my journey. Grateful to Jobaaj Learnings and the Placement Team for their constant guidance and support.
BeforeB.Tech Graduate
AfterBusiness AnalystEmployer logo

Nano Degree Vs Program: Everything In The Program, Plus

The Nano Degree is the Data & Business Analytics Program with the placement layer added. Same classes, mentors, projects and lifetime access. Seven additions, listed below.

Program₹49,999/-Certificate track
  • Lifetime course access
  • Live sessions and mentor guidance
  • Live projects, ebooks and PDFs
  • 24x7 community and WhatsApp group
  • ATS-friendly resume from HRs
  • Course certificate
  • 3-month internship certificate
  • 1-month job search assistance
  • 1-year validity, fee transfer, EMIs
Recommended
Nano Degree₹89,999/-Including GST · EMI available
Everything in the Program
  • Nano Degree From Eshan CollegeIssued with Jobaaj Learnings
  • 100% Job GuaranteePlacement runs until you have an offer
  • Full Refund If No Job OfferYour fee back, in full
  • Mock InterviewsWith mentors and the HR team
  • Job search assistance1 month 3 months
  • Internship certificate3 months 6 months
  • Extendable ValidityExtend beyond the first year
Choose Nano Degree
What You Earn

Industry Recognised Certificates

One Nano Degree, equivalent to an intensive professional certification, plus 10+ Jobaaj Learnings certificates for the modules, projects and internship you complete.

Data & Business Analytics Nano Degree certificate, awarded by Eshan College with Jobaaj Learnings
Eshan CollegeIssued by Eshan College with Jobaaj Learnings

1 Nano Degree + 10 Or More Certificates

  • Data & Business Analytics Nano Degree from Eshan College, on completing the 6-month program
  • Module certificates from Jobaaj Learnings, one per completed stage
  • Project certificates for the capstone you build and defend
  • Internship certificate after the 6-month analytics internship

Join a growing analytics alumni network of skilled professionals across India.

Fees And Batches

Choose The Plan That's Best For You

One price, no hidden add-ons. Pay in full or in instalments. Full refund if you don't get a job offer through the program.

Data & Business Analytics Nano-Degree Program

100% money-back guarantee

Select A Batch

Pay in instalmentsEMI available

Additional Perks

  • Job guarantee
  • Internship program
  • Lifetime access to tools
  • Analytics community access
  • Job leads from day one
  • 100+ interactive live sessions with the mentor
  • Access to a highly exclusive community
Proceed to payment · ₹89,999/-

Or apply now to check your eligibility first.

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Enrolment

How Do I Enroll In This Program?

Four steps. No payment until your eligibility is confirmed.

1
ApplyFill the form on this page
2
Talk To A CounsellorWe call you back within a working day
3
Review Your EligibilityFit and batch confirmation
4
Get StartedOrientation with your mentor
Eligibility criteria

Open to students, working professionals, career switchers and those returning to work. You don't need an MBA or a tech degree, and no prior tech or business background is required; every concept is taught from scratch.

Apply now
Questions

Frequently Asked Questions

Everything people ask before they apply.

The programme has been rebuilt around agentic AI. You still master Excel, SQL, Python, Power BI and Looker Studio, and on top of that you learn to command AI agents, verify their output, model data, design experiments and ship analysis as a service.

No. The programme is built for beginners and starts from the basics, moving to advanced analytics and agentic modules. Students, Excel-heavy professionals and career switchers all start comfortably.

Excel, SQL, Python (NumPy and pandas), Power BI and Looker Studio, plus the 2.0 modules: AI-assisted analytics with Claude Code, statistics and experimentation, data modeling, and analytics engineering.

No. You learn to direct agents, but the technical interview rounds are run without AI, so the programme trains and tests your fundamentals the same way. The capstone includes a live defence with no AI assistance.

Plan for around 8 to 10 hours a week across live sessions, recordings and graded labs. Every session is recorded so you can catch up if a week gets busy.

You will be added to an exclusive community where your doubts and queries get resolved in real time. You can also ask the mentor directly during the live sessions.

Yes. You will be given a Data & Business Analytics Nano Degree from Eshan College along with 10+ separate certificates from Jobaaj Learnings.

It focuses on real projects, mentorship and internship experience, with placement work from day one. Technical mock rounds, a portfolio from your capstone, and referrals continue until you have an offer.

No job offer? Get a full refund. You will receive a full refund of your fee if you do not receive a job offer through our program. T&C apply.

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