Numbers tell stories. But only when someone knows how to read them. This is the most job-accessible track in our data family — the maths barrier is far lower than data science, and the demand is right here in Jaipur, in back-office, finance, operations and MIS teams that run on Excel and want someone who can do more with it. You start at what a dataset is and finish building dashboards on real business data.
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Who this is for
Data analysis is not a maths degree and it is not a coding job. It is a working habit — collect the data, clean it, ask a clear question of it, and show the answer in a way a manager can act on. At Infonic Training this runs as one of our job-oriented courses in Jaipur, and most students walk in knowing only basic Excel.
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College Students
BBA, BCA, B.Com, BSc and MBA students who want one skill on the resume that a company can test in an interview. A dashboard you built beats a project file nobody opens. Many pair it with an internship in Jaipur.
Fresh Graduates
Degree done, no job-ready skill yet. Data analysis is the shortest honest route into an office role, and it sits inside our technical courses in Jaipur if you want to see the whole list first.
Working Professionals
People already in marketing, finance, operations or sales who are asked for reports every week. Learn to build them properly and the reporting work becomes your promotion, not your burden.
Career Switchers
Moving into analytics from a completely different line. The maths barrier here is much lower than in the data science course, so this is the safer first step of the two.
Business Owners
Entrepreneurs who want to read customer behaviour, sales patterns and stock movement from their own data instead of guessing. One dashboard usually pays for the course.
Digital Marketing Professionals
Campaign performance, user behaviour and channel numbers are the daily job. This adds the analysis depth that a digital marketing course and Google Analytics training only touch.
IT & Software Beginners
Support, testing and helpdesk staff who want to move to a data seat. SQL is the bridge, and it starts from what a table is.
Freelancers & Consultants
Reports, cleaned data files and dashboard building are all billable work you can do from home for small firms that will never hire a full-time analyst.
Job Seekers & Back-Office Staff
Already in a back-office, accounts or MIS seat? Excel plus SQL alone usually lifts you one salary band. The back-office training course covers the office side; this course covers the numbers.
Data work after AI
Be straight about what has changed. ChatGPT will write your VLOOKUP, generate a SQL query and summarise a report in seconds, and anyone selling a course that ignores this is wasting your months. What it will not do is notice that the sales file has three spellings of the same city, that a month of orders is missing because an export failed, or that the number your manager asked for is not the number the business actually needs. That judgement — is this data clean, is this the right question, does this answer change any decision — is the entire job, and it is why analyst roles in Jaipur are still open. The practical effect is that the boring half of the work got faster and the thinking half got more valuable. So AI tools sit inside this syllabus as Module 17, used the way an analyst uses them, while cleaning, statistics, SQL and dashboard design come first. The tool changed. What a company pays you to be sure about did not.
See all 21 modules →What you'll master
Ten skill groups, and every one of them ends in something built — a cleaned file, a query that runs, a dashboard that refreshes. The programming side goes deeper in the Python course in Jaipur, the modelling side in the data science course, and the everyday office tools in the IT productivity course.
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Core Data Foundations
Data Collection & Cleaning
Excel To An Advanced Level
Statistics For Business
SQL For Real Databases
Data Visualisation
Power BI & Tableau
Python With pandas
Reporting & Storytelling
AI-Assisted Analysis
Full curriculum
Foundations first, then cleaning, then Excel, then charts and dashboards. SQL at Module 9, statistics at 11, Python only at 12 — after you can already analyse without it. Nothing jumps, and nothing is skipped because it looked hard to teach.
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Introduction to Data Analytics
Before any tool, the point of the work. What analytics actually does inside a business, and why a company pays someone to do it.
Data Fundamentals
The vocabulary the rest of the course runs on. Rows, fields, tables, formats — explained once, properly.
Data Collection Methods
Where the data comes from before it reaches your screen, and why that matters when a number looks wrong.
Data Cleaning & Preparation
The part nobody advertises and every analyst spends most of the week on. Real exports are messy, and you learn on messy ones.
Microsoft Excel for Data Analysis
Excel done properly, because it is still the tool on most desks in Jaipur and the fastest thing to get paid for.
Advanced Excel Analytics
Where Excel stops being a spreadsheet and starts being an analysis tool — lookups, validation and Power Query.
Data Visualization Techniques
How to turn a table nobody reads into one chart that settles the argument.
Business Dashboard Creation
Dashboard design as a skill of its own: what goes on the screen, what stays off it, and who is reading.
SQL for Data Querying
The single skill that most changes what you are paid, because the data does not live in Excel — it lives in a database.
Data Interpretation & Insights
Reading what the numbers are saying, and being honest when they are not saying much.
Basic Statistics for Data Analysis
School-level maths, business examples. Enough statistics to be right, not enough to scare anyone off.
Python Basics for Data Analytics
Programming starts here, at Module 12, once you can already analyse. Nobody is thrown into code on day one.
Python Libraries for Data Analysis
pandas and NumPy — the two libraries that do the actual work in a real analyst job.
Data Visualization Using Python
Charts written in code, so a report you build once can be regenerated every month in seconds.
Introduction to Business Intelligence Tools
What a BI tool is for, and why companies moved reporting into them.
Power BI Dashboard Development
The portfolio module. Multiple sources, one dashboard, published and shareable.
AI Tools for Data Analytics
AI used the way an analyst uses it — to move faster on the boring half, and checked before it is trusted.
Real Business Data Projects
Whole datasets, start to finish, the way the work actually arrives — unclean and without instructions.
Assignments & Practice Sessions
Weekly work with feedback, because analysis is a skill you lose if you only watch it being done.
Industry Exposure & Project Presentation
Standing up and explaining your findings, which is the part most freshers have never practised.
Capstone, Career Guidance & Placement Prep
One end-to-end capstone, then the resume, the portfolio and the interview rounds.
Live work
You leave with files, not notes. Every project below is built on a real business dataset, reviewed by the trainer, and kept in a portfolio folder you can open in an interview. Students who want more of this continue into a paid internship in Jaipur after the course.
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Project 01
A Cleaned Sales Dataset
Six months of messy retail exports with duplicate customer names, blank invoice dates and three formats of the same city. You fix it in Power Query and document every rule you applied, because the next person has to trust it.
Excel · Power Query · Cleaning
Project 02
A Monthly MIS Report Pack
The report a real MIS executive sends every month — sales by region, target versus achieved, top and bottom performers — built once in Excel so it refreshes instead of being retyped. This is the exact deliverable in most back-office and MIS roles.
Pivots · Lookups · Automation
Project 03
A Power BI Sales Dashboard
Multiple sources joined into one interactive dashboard with slicers for month, region and product. Publish it, share the link, and walk an interviewer through it in two minutes.
Power BI · DAX · Slicers
Project 04
A SQL Business Query Set
Twenty real questions answered against a live database — revenue by month, repeat customers, ranked top sellers per city using window functions. The queries go in your portfolio file.
SQL · Joins · Window functions
Project 05
A Customer Behaviour Analysis
Which customers come back, which never return, and what separates them. Statistics used to support the claim, not to decorate it.
Statistics · Segmentation · Insight
Project 06
A Python Data Analysis Notebook
A dataset too large for a spreadsheet, loaded with pandas, cleaned in code and charted with Matplotlib. Students who enjoy this part often go on to the data science course in Jaipur.
Python · pandas · Matplotlib
Project 07
A Capstone Presentation
Your final project presented to the batch: the business question, what the data said, what you would do about it, and what you are still unsure of. Honest uncertainty scores better in an interview than false confidence.
Storytelling · Presentation · Q&A
Bring your own data if you have it — a shop's sales file, a college project export, your company's monthly report. Working on data you already understand is the fastest way to learn.
Fees & tracks
Three tracks, the same trainer and the same real-dataset method — the difference is how far you go. The fee covers training, study material, tool access during the course and the certificate. No exam fee, no material charge, no surprise at the counselling table.
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3-Month Excel & SQL Analyst
₹12,500
Modules 1–11
6-Month Data Analyst Professional
₹24,000
EMI from ₹4,000/mo · Modules 1–21
12-Month Analytics & BI Mastery
₹38,000
EMI from ₹6,350/mo
Not sure whether to start here or with the data science course in Jaipur? Sit through a demo of both and decide from the class, not the brochure. Every fee above ₹15,000 can be paid on no-cost EMI, and there is no separate exam, certificate or material charge.
Compare before you enrol
Visit two or three centres before you pay anyone. Ask each one to open a dashboard a student actually built and show you the messy file it started from. These are the five things worth checking.
| What to check | Typical institutes | Infonic Training |
|---|---|---|
| Fee for a full analytics track | ₹35,000 – ₹90,000+ | From ₹12,500 |
| What you practise on | Clean sample files that always work | Real business exports, errors included |
| How far Excel is taken | Formulas and one pivot table session | Pivots, lookups, Power Query and automation |
| SQL depth | A few SELECT statements | Joins, aggregation and window functions |
| Doubt clearing | Batch of 40, ask at the end if there is time | 12–15 per batch, one to one when you are stuck |
Tools you'll use
Tool access is provided during the course. More useful than access, though, is knowing which tool the job actually needs — most reporting work in Jaipur is still won with Excel and SQL, and Power BI is what gets you noticed after that.
Why students choose us
The complaint we hear from students who come after another institute is always the same — they can define a pivot table but have never cleaned a file that was actually broken. Watching someone else analyse teaches you nothing. Doing it on real data, getting it wrong, and being shown why is the whole training. See the rest of our technical courses in Jaipur if you want to compare tracks first.
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Simple Teaching Style
Trainers break every topic into small easy steps, so a beginner never feels lost or confused. Nobody is expected to already know what a join or a pivot is.
Learn By Doing Approach
Students spend more time practising than listening to theory. Skills grow faster when you actually work with data again and again, on files that fight back.
Step-By-Step Learning Structure
Topics are arranged in a smooth order — basics, then tools, then code — with no sudden jumps in difficulty. Python arrives at Module 12, not on day one.
Focus On Real Work Situations
Examples come from sales reports, customer data, marketing numbers and company performance tracking, not from tidy textbook tables that never exist at work.
Doubt Solving Without Pressure
Ask the same question three times if you need to. The trainer explains it a different way rather than moving on, and batches stay at 12–15 so there is time.
Skill Confidence Building
Regular practice is what makes people comfortable handling data and explaining what they found. If client calls are the worry, take the communication mastery course alongside.
Meet your trainer
Mahesh Sharma
Lead Trainer, Data & Business Intelligence · 15+ years
Mahesh builds reporting for the consultancy's own clients alongside teaching, so the files opened in class are real exports — including the ones where a month of data was missing and somebody had to notice before the report went out. Students see the decision being made, not a finished case study.
Bring a spreadsheet from your own job or college to the demo class and ask him what he would do with it. If data analysis is not the right course for what you actually want, he will tell you that instead.
Inside the campus
Jobs & salary
The ladder is well marked: MIS executive, then data analyst, then business intelligence analyst, then a lead who decides what gets measured. Jaipur has real demand at the bottom two rungs — back-office, finance, e-commerce and operations teams here run on spreadsheets and need someone who can do more with them. Those who later add AI and machine learning or a data science course move faster, because they can be trusted with the modelling side too.
| Role and experience | Jaipur monthly salary | What the role is judged on |
|---|---|---|
| MIS Executive / Data Executive (fresher) | ₹15,000 – ₹22,000 | Accurate monthly reports, sent on time. |
| Data Analyst (fresher) | ₹18,000 – ₹30,000 | Cleaning, querying and answering business questions. |
| Business / Reporting Analyst (1–2 years) | ₹28,000 – ₹45,000 | Owning a reporting pack end to end. |
| Business Intelligence Analyst (2–4 years) | ₹45,000 – ₹80,000 | Dashboards, data models and SQL depth. |
| Analytics Lead / Consultant (4+ years) | ₹80,000 – ₹1,50,000 | Deciding what the business should measure. |
| Same roles in Bangalore, Pune or Gurgaon | ₹25,000 – ₹40,000 to start | Higher bands throughout, higher cost of living too. |
Now the part most institutes will not tell you, because it does not sell a twelve-month program: you do not need the whole syllabus to earn more. Excel taken to an advanced level plus SQL, on its own, lifts a back-office salary. This is what that actually looks like for someone already sitting in an office or back-office job in Jaipur.
| Where you are, and what you add | Jaipur monthly band | What changes at work |
|---|---|---|
| Back-office / data entry, Excel basics only | ₹10,000 – ₹15,000 | Typing and formatting what someone else decided. |
| Same seat, after advanced Excel | ₹15,000 – ₹22,000 | Pivots, lookups and a report that refreshes itself. |
| Same seat, after Excel + SQL | ₹22,000 – ₹32,000 | Pulls their own data instead of raising a request. |
| Moves to analyst, after Power BI | ₹30,000 – ₹45,000 | Owns a dashboard the management actually opens. |
Read those numbers honestly. A fresher in Jaipur does not walk out of a six-month course into ₹80,000 a month, and any institute suggesting otherwise is selling you something. What is realistic is ₹15,000 to ₹30,000 in a first analyst or MIS role, a genuine jump once you can write SQL without help, and a second one when a dashboard you built is the one management opens every Monday. Freshers exploring the whole field should also look at our job-oriented courses in Jaipur.
An honest note: the placement cell handles the resume, the LinkedIn profile, mock interviews and referrals to hiring companies in Jaipur. It works for students who finish their assignments and build a portfolio of dashboards. We open the door — the practical test is yours to clear, and anyone promising a guaranteed package to a fresher is not being straight with you.
Student reviews
Before joining any institute, most people want to hear from someone who already sat in that classroom. These are students who finished the training, from Jaipur and from the cities around it.
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No reviews found.
Areas we serve
Our campus is on Ajmer Road at Heera Nagar Mode — 20 to 30 minutes from these localities, with city buses stopping close by. Students from nearby Rajasthan cities attend the live online batches with the same syllabus and the same trainer.
Nearby cities we serve
FAQ
Serious learners think carefully before giving months to any training. These are the questions people actually ask at the counselling table.
The full 21-module program runs 4 to 6 months. The shorter Excel and SQL track finishes in about 3. Weekday batches meet 5 days a week for roughly 1.5 to 2 hours, and weekend batches cover the same syllabus over a longer period, which suits working people. Outside class, give it 6 to 8 hours of practice every week — that is the honest number, and students who put it in are the ones building dashboards by month three.
No, and this is the real reason data analysis is the most job-accessible track we run. The statistics here stop at mean, median, mode, standard deviation and basic probability — school-level maths, taught from zero with business examples. Heavy mathematics, model building and algorithms belong to the data science course, not this one. If numbers made you nervous in school, start here.
The 3-month Excel and SQL analyst track is ₹12,500, the 6-month data analyst professional track is ₹24,000, and the 12-month analytics and BI mastery track is ₹38,000. The fee covers training, study material, tool access during the course and the certificate. No-cost EMI is available above ₹15,000, and there is no separate exam, material or certificate charge.
Yes, and commerce students often do better than expected because they are already comfortable with sales figures, ledgers and reports. The course starts from what a dataset is and what a row and a column mean. No coding background is needed — Python appears only at Module 12, after you can already analyse in Excel and SQL. Classes run in Hindi and simple English.
No. A normal laptop with basic speed and storage is enough for most learning tasks. 8 GB of RAM makes Power BI and larger Excel files comfortable, but it is not compulsory. If you do not have a laptop yet, systems are available at the centre — tell the counsellor at admission so a machine can be reserved for your batch timing.
Yes. Many learners join while managing college classes or a full-time job. Morning, evening and weekend batches are built around those timings, and the same syllabus runs in live online mode for students travelling in from Ajmer, Sikar, Kota, Alwar, Udaipur and Jodhpur.
For beginners the starting salary usually ranges around ₹3 lakh to ₹6 lakh a year across India. In the Jaipur market specifically, a fresher MIS executive or reporting analyst starts at ₹15,000 to ₹22,000 a month, and a data analyst role at ₹18,000 to ₹30,000. With two to three years of proven dashboard and SQL work, ₹45,000 and above is common. Anyone promising a guaranteed package to a fresher is not being straight with you.
Often, yes — and this is worth saying plainly. Someone already in a back-office, accounts or operations seat who can write a lookup, build a pivot table, clean a file in Power Query and pull their own SQL report usually moves up one salary band inside the same company, without changing jobs at all. Power BI, Tableau and Python widen the options after that. Excel and SQL are what move the salary first.
Trainers give you the notes, the practice files and extra support to catch up, and the live online session for that topic can be attended with another batch. Nobody is left to figure out a missed module on their own — but tell the trainer the same week, not at the end of the course.
It is stable, and AI has changed the work rather than removed it. Almost every business today collects data, and someone still has to decide which number matters, check whether the data is clean and explain the finding to a manager who will act on it. AI tools now write formulas and summarise reports faster — which is why they are taught as Module 17 here instead of being avoided. The analyst who uses them is the one who gets ahead of the analyst who does not.
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Data Science Course
The next step up — machine learning and modelling, with a real maths load.
Go deeperPython Course
Take the programming side further than pandas and automate the whole report.
Strengthens Module 12–14AI & Machine Learning
Move from explaining what happened to predicting what happens next.
For the modelling routeGoogle Analytics
Website and campaign data, read properly. Pairs well with marketing analyst roles.
Popular combinationBack-Office Training
The MIS and office-process side of the same job, if you want the full seat.
For MIS rolesIT Productivity Course
Everyday office tools done fast — a good starting point if Excel is still new.
Start here if unsureJob-Oriented Courses
Compare every program we run that leads to a job, before you commit months.
Compare firstTechnical Courses
The full technical list — web, data, cloud and mobile tracks in one place.
Parent hubVisit the centre
Come to the Heera Nagar centre, meet the trainer, and watch a real dataset being cleaned and charted on screen. Bring a spreadsheet of your own if you have one. No pressure, and no charge for the demo.
Take the first step toward a future where you can understand numbers, find insights and grow your career with confidence. You do not need a maths degree, you do not need coding, and you do not need perfect English. Bring your laptop and a file you want to make sense of. The next batch begins on 1 September, in morning and evening slots.
Our placement team is available Mon–Fri, 9 AM to 6 PM
