Query
Get the data you need.
Write SQL to join, filter and summarise data from relational databases.
University Programmes · University · 4–6 semesters
Data Analytics. From raw data to decisions, for credit.
Rooman's Data Analytics track is part of the Credit-Based Integrated AI Course, which universities embed in B.E., B.Tech., B.Sc. and BCA degrees with formal credits. Over 4–6 semesters it covers SQL, the Python data stack, statistical modelling, visualisation and business analytics, taught by Rooman trainers alongside your college faculty.
180 hours7 modulesCredit-basedCapstone project
What you'll be able to do
Answer business questions with data.
Analysts turn data into decisions. This track teaches the full path, inside your degree and with credits as set by your university.
Model
Find what the data says.
Clean data in Python and test ideas with statistical models.
Present
Make it clear to others.
Build charts and dashboards that answer a stated business question.
Skills covered
- SQL and relational databases
- Python with pandas and NumPy
- Data cleaning and preparation
- Descriptive and inferential statistics
- Regression and forecasting basics
- Data visualisation
- Dashboards and reporting
- Business analytics
Who it's for
Built for your first analytics role.
The track is for undergraduates at colleges that partner with Rooman, from any of the four degree streams. You enrol through your college, not directly with Rooman: the course runs where your university has a partnership with Rooman.
Roles where these skills are used
- Data Analyst
- Business Analyst (graduate)
- MIS Analyst
- BI Analyst (entry level)
- Reporting Analyst
Entry requirements.
- Enrolled in a B.E., B.Tech., B.Sc. or BCA programme at a partner college
- Chosen as an elective or integrated track, as your university's scheme allows
- No programming or statistics experience needed
Not sure which course fits? Take the 10-minute career assessment, or talk to a counsellor.
180 hours · 7 modules
A curriculum paced by semester.
Seven modules, from spreadsheets and SQL to business analytics, with a project semester at the end.
01Data foundations24 hrs
How data is structured, stored and checked for quality.
Topics covered
- Tables, types and data quality
- Spreadsheets for analysis
- Data ethics and privacy
You produce: a cleaned and documented dataset.
02SQL for analysis24 hrs
Querying relational databases to answer questions.
Topics covered
- SELECT, filtering and sorting
- Joins and subqueries
- Aggregation and window functions
You produce: a set of analytical SQL queries.
03Python for data26 hrs
The Python data stack for cleaning and exploring data.
Topics covered
- pandas and NumPy
- Cleaning and reshaping data
- Exploratory data analysis
You produce: an exploratory analysis notebook.
04Statistical modelling26 hrs
Testing ideas and estimating relationships in data.
Topics covered
- Probability and distributions
- Hypothesis testing
- Linear and logistic regression
- Time series basics
You produce: a statistical model with a written interpretation.
05Data visualisation26 hrs
Choosing and building charts that make a point.
Topics covered
- Principles of good charts
- Matplotlib and Seaborn
- Dashboards with a BI tool
You produce: a set of clear, labelled charts.
06Business analytics24 hrs
Applying analysis to sales, operations and customer questions.
Topics covered
- KPIs and metrics
- Customer and sales analysis
- Forecasting for planning
- Communicating findings
You produce: an interactive business dashboard.
07Capstone project semester30 hrs
A team analysis of a real dataset for a stated question.
Topics covered
- Question framing with a faculty guide
- Data collection and analysis
- Dashboard and recommendations
- Final report and viva
You produce: a demonstrated analytics project and report.
Tools covered
The tools you'll work with.
You work with the tools data teams use every day.
| Tool group | Tools | What you use them for |
|---|---|---|
| Databases | SQL (MySQL or PostgreSQL) | Store and query data |
| Language | Python, Jupyter, pandas | Clean and analyse data |
| Visualisation | Matplotlib, Seaborn | Chart findings in code |
| BI | Power BI or Tableau | Build dashboards for decision-makers |
Capstone
Analyse a real dataset. Then recommend a decision.
In the final semester your team takes a business question from data to a dashboard and a recommendation, guided by Rooman trainers and your faculty.
Every module ends with a hands-on lab in your college.
What you finish with.
- Analytical SQL queries
- An exploratory analysis notebook
- A statistical model with interpretation
- A business dashboard
- A capstone analytics project
Your credential
Credits toward your degree.
Credits toward your degree. The track counts toward your degree, with credits as set by your university.
Assessment follows your university's scheme, with Rooman trainers and your faculty assessing the work together.
What's included
Everything you need to finish.
- Taught by Rooman trainers alongside your faculty
- Scheduled to fit your academic calendar
- Labs every semester and a capstone project
- Credits counted toward your degree, as your university sets them
- A curriculum aligned with your university's academic council
- Placement and hackathon support through your college
Before you enrol
Questions future analysts ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Does it count toward my degree?
Yes. It is a credit-based track, with credits as set by your university.
Is my college a partner?
Ask your department or placement office, or a Rooman counsellor. You enrol through your college, not directly with Rooman: the course runs where your university has a partnership with Rooman.
Can my university partner with Rooman?
Yes. Universities embed the course in their degrees, and a custom track can be co-created with the academic council.
Who teaches it?
Rooman trainers, alongside your college faculty.
How long does it take?
4–6 semesters, scheduled to fit your academic calendar.
Do I need to know programming?
No. The track starts with data foundations and teaches SQL and Python from the beginning.
Is it only for engineering students?
No. It is open to B.E., B.Tech., B.Sc. and BCA students at partner colleges.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
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180 hrsCredit-basedCloud & DevOpsBuild, ship and run software in the cloud.For universitiesBringing this to your university?Embed this track in your degree programmes with formal credits, taught with your faculty.Talk to usNext step
Start with a conversation.
Tell us your college, course and year, or your university, and a counsellor will explain how the tracks work.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.