Quick Summary: Data Management is a diploma-level course in the IIT Madras BS in Management & Data Science that teaches how data is stored, structured and queried — databases, SQL and data modelling. Together with Python, it is the practical backbone of the analytics track. This guide maps the syllabus and how to study it.
📋 Table of Contents
Where this course fits
Every analytics job starts with getting data out of a database cleanly. Data Management gives you that skill — SQL and data modelling — which pairs directly with Python for the rest of the diploma and is one of the most asked-about skills in analyst interviews.
Syllabus — topic by topic
- Data & database concepts — structured vs unstructured data
- Relational model — tables, keys, relationships
- SQL — SELECT, filtering, joins, grouping, aggregation
- Data modelling — ER diagrams and normalisation
- Data collection & cleaning — preparing data for analysis
- Intro to non-relational data — where SQL is not enough
Exact week-wise content is on the official student portal; the above is the reliable topic map.
What to focus on
SQL — especially joins, grouping and aggregation — is the core, high-return skill. Data modelling (keys, relationships, normalisation) is conceptual but important for the assignments. Practise on real query problems rather than just reading syntax.
Common mistakes
❌ Struggling with joins because the relational model wasn’t understood.
❌ Ignoring normalisation and data-modelling questions.
❌ Not practising on realistic, messy datasets.
Frequently Asked Questions (FAQs)
Is Data Management a coding course?
It is mainly SQL and data modelling rather than general programming. It complements the Python course rather than repeating it.
Why does SQL matter so much?
SQL is how analysts pull data from real systems. It is one of the most in-demand and frequently tested skills for data roles.
Reach the diploma faster — begin with the qualifier.
Related diploma guides: Python for Data Analytics · Financial Analytics · diploma level overview. See the full program guide and all IITM BS guides.
Recent Post
A guide to Supply Chain Analytics in the IIT Madras BS in Management & Data Science diploma level — demand forecasting, inventory optimisation, logistics and network design, with a study plan, by Piyush Wairale (IIT Madras).
A guide to Financial Analytics in the IIT Madras BS in Management & Data Science diploma level — financial statement analysis, ratios, forecasting, risk and valuation with data, plus a study plan, by Piyush Wairale (IIT Madras).
A guide to HR Analytics in the IIT Madras BS in Management & Data Science diploma level — workforce metrics, attrition and recruitment analytics, performance data and people analytics, with a study plan, by Piyush Wairale (IIT Madras).
A guide to Marketing Analytics in the IIT Madras BS in Management & Data Science diploma level — segmentation, customer lifetime value, market response models and campaign measurement, with a study plan, by Piyush Wairale (IIT Madras).
A guide to Python for Data Analytics in the IIT Madras BS in Management & Data Science diploma level — Python basics, pandas, NumPy, data cleaning and visualisation, with a study plan, by Piyush Wairale (IIT Madras).
A complete overview of the Diploma level in the IIT Madras BS in Management & Data Science — the Data Analytics for Business courses, the management courses, the two projects, credits and fees, by Piyush Wairale (IIT Madras).
Learn Daily, Wherever You Are
Free lectures, exam updates, PYQ discussions, and job alerts — delivered through our YouTube channel and Telegram communities.
[…] diploma guides: Data Management · Marketing Analytics · diploma level overview. See the full program guide and all IITM BS […]