This is one all-in-one notebook that carries the entire GATE Data Science and Artificial Intelligence syllabus in a single hand-drawn set, so students can revise every named area from one place instead of juggling seven separate stacks.
One Notebook for the Whole DA Syllabus
GATE DA is a young paper, live since 2024, and its syllabus is spread across seven named areas plus General Aptitude. This notebook pulls all of that into a single running set of pages.
The idea is simple. Instead of hunting through many books in the last weeks, students open one place and see every area laid out in the order the exam expects. Each area gets its own labelled block, so nothing important is buried.
The Seven Areas Mapped Across the Pages
The pages follow the official area order, and each block opens with a short definition of what that area is for. Here is the coverage map the notebook works through.
- Probability and Statistics: distributions, expectation, hypothesis tests and confidence intervals.
- Linear Algebra: vectors, matrices, eigenvalues and the decompositions machine learning leans on.
- Calculus and Optimization: gradients, maxima and minima, and single-variable optimisation.
- Programming, Data Structures and Algorithms: Python basics, core containers and standard methods.
- Database Management and Warehousing: the relational model, SQL and simple warehouse ideas.
- Machine Learning: supervised and unsupervised methods, from regression to clustering.
- Artificial Intelligence: search, logic, reasoning under uncertainty and basic planning.
A short General Aptitude block sits alongside these, since it is a fixed part of every GATE paper.
Where the Marks Actually Sit
Not every area pulls the same weight, and the notebook flags this so revision time follows the marks. Students should read the emphasis honestly.
- Probability and Statistics is the single largest area, close to a quarter of the paper.
- Machine Learning is a big block too, and it rewards the maths done earlier.
- General Aptitude is a fixed 15 marks in every GATE paper, so it is easy marks worth protecting.
- The remaining areas share the rest, which is why none of them can be skipped outright.
Watch the DA Syllabus Broken Down
Source: IMS GATE ACADEMY (https://www.youtube.com/@IMSGATEACADEMY)
Reading Order That Builds on Itself
The blocks are sequenced so each one leans on the last. Students who follow the given order rarely hit a topic they have no grounding for.
Probability, linear algebra and calculus come first because machine learning and AI stand on them. Programming and databases sit in the middle as practical tools, and the two applied areas close the set once the maths is in place.
Getting the Most From a Full-Syllabus Set
A single notebook like this is built for the revision phase, not first learning. A short routine keeps it useful.
- Sweep the whole set once to see how the areas connect before drilling any one block.
- Spend the most time on Probability and Statistics and Machine Learning, since they carry the most marks.
- Never leave General Aptitude to the last day, because those 15 marks are among the safest to lock in.
- Come back to any block after solving a few questions, so the notes reinforce practice rather than replace it.
GATE DA Complete Syllabus Notes FAQs
Ques. What does this complete syllabus notebook cover?
Ans. It covers the full GATE Data Science and AI syllabus in one hand-drawn set: Probability and Statistics, Linear Algebra, Calculus and Optimization, Programming and Data Structures, Database Management, Machine Learning and Artificial Intelligence, along with the General Aptitude section every GATE paper carries.
Ques. Which area of the DA paper carries the most marks?
Ans. Probability and Statistics is the single largest area, sitting close to a quarter of the paper. Machine Learning is a big block as well, and General Aptitude is a fixed 15 marks. The notebook flags this emphasis so students spend time where the marks are.
Ques. In what order should students read the notes?
Ans. Follow the given sequence. Probability, linear algebra and calculus come first because machine learning and AI depend on them. Programming and databases sit in the middle as tools, and the two applied areas close the set once the maths foundation is solid.
Ques. Is one notebook enough to prepare for GATE DA?
Ans. It is built for revision, not first learning. Use it to see how the whole syllabus connects and to refresh every area quickly before the exam, alongside solving previous papers and mock tests for practice.
Ques. Is GATE DA a real GATE paper?
Ans. Yes. Data Science and Artificial Intelligence, paper code DA, is an official GATE paper introduced in 2024. It has its own syllabus and question pattern, and this notebook is organised to match that official area order.








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