Career program
Data Analytics
Four months turning raw data into answers a business will act on. Excel, SQL, Python and Power BI, taught on messy, realistic datasets rather than tidy classroom ones, because messy is what the job is.
The syllabus
What we'll cover, in order.
4 months, project-based from week one. Each block ends with something built and working rather than a chapter finished.
Month 1
Excel and analytical thinking
Getting properly good at the tool every office already uses, and learning to ask a question data can answer.
Excel for data analyticsFormulas, lookups and pivot tablesData cleaningDescriptive statisticsCharts that don't misleadFraming a business questionMonth 2
SQL and databases
The single most asked-for analyst skill: pulling exactly the data you need out of a real database.
SQL & database managementSELECT, filtering and sortingJoins across tablesAggregations and GROUP BYSubqueries and window functionsDatabase design basicsMonth 3
Data analysis with Python
Analysis at a scale spreadsheets can't hold. It's also where you stop repeating the same manual work every month.
Python for data analysisPandas and NumPyCleaning and reshaping dataVisualisation with MatplotlibCorrelation and trendsAutomating a recurring reportMonth 4
Power BI, dashboards and telling the story
Dashboards a manager can read without you in the room, and the ability to say what the numbers mean out loud.
Power BI and business intelligenceData modelling and relationshipsDAX essentialsDashboard designPresenting findings to non-technical peopleCapstone analysis project
What you'll be able to do
- Write SQL confidently against a real database, joins and all
- Clean and analyse messy data instead of giving up on it
- Build dashboards people use to make decisions
- Explain what the data says, and what it doesn't, to non-technical people
What you'll build and keep
- A cleaned, analysed dataset with findings written up in Excel
- A SQL analysis answering a set of real business questions
- A Python notebook exploring a large public dataset
- An automated report that used to be done by hand
- An interactive Power BI dashboard you can demo in an interview
Every project is deployed and lives on your own GitHub, which is the part a recruiter opens.
Who it's for
- Beginners who like numbers and questions more than building software
- Commerce, BBA and MBA students heading for analyst roles
- Working professionals who live in spreadsheets and want to go further
Prerequisites
No coding background needed. School-level maths and basic spreadsheet familiarity are enough; the Python you need is taught here.
The tools you'll use
Founding batch fee
₹25,000
Whole program
EMI available
Industry salary range
₹3–5 LPA
Typical first job
₹5–9 LPA
With a strong portfolio
Data Analyst · Business Analyst · SQL / BI Developer
About the fee. These are the founding-batch fees, the price for our first intake, printed here exactly as it appears on our fee structure. Affordable EMI is available on every program; the instalment plan is worked out with you on the call, before you enrol. If you're not certain which program your money is best spent on, sit in on a free demo class first and ask us. We'd rather you picked the right one than the expensive one.
About the salaries. These are 2026 market ranges for freshers who have the skill, sourced from AmbitionBox, Glassdoor, Indeed and Naukri salary data, not from us. The lower end is a realistic first job at a service company or here in Punjab; the upper end is what product companies and metro startups pay when your portfolio is real and deployed. A certificate on its own gets you neither. We help you build the portfolio and prepare for the interviews. We don't promise a package, and you should walk out of any institute that does.
Other programs
Not sure this is the right one?
The programs overlap on purpose, so you can start with a shorter one and continue later without repeating anything. If you'd rather we just told you, book a free counselling session.
Sit in on a Data Analytics class before you decide.
The next batch starts 15 September 2026. Book a free demo, ask us the hard questions, then make up your mind.