GATE 2027 Data Science and Artificial Intelligence (DA) Complete Course
GATE 2027 Data Science and Artificial Intelligence (DA) course
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About GATE 2027 Data Science and Artificial Intelligence (DA) Complete Course
GATE 2027 DA: PYQs with solutions, Engineering Maths, Aptitude, Hotspots and Goal Slider. Plus plan till Jul 2027 or Jul 2028.
Compare GATE 2027 Data Science and Artificial Intelligence (DA) Complete Course with all courses→🎯 GATE 2027 Data Science & Artificial Intelligence (DA) — Plus Videos help you understand a concept, but watching videos alone isn't enough to get selected. The competition is very high. KnowledgeGate is built on a few simple ideas that give you the edge: 🤖 How the platform helps you Goal Slider: set your target score for your category, and get an exact daily plan: how many questions, which topics, what difficulty. Syllabus Hotspots: see which units and topics are asked most, from real PYQ data, so you study what matters first. Progress Monitor: find where you're losing marks, topic by topic. Leaderboard: see where you stand among other aspirants. Battles: compete with other aspirants on live questions. Community: discuss and prepare together with fellow aspirants. One-to-one chat: ask your doubts directly. Course Captain: a mentor who keeps your preparation on track. Why this matters: most coaching institutes still don't use technology in education. They run on old, outdated systems. KnowledgeGate is very aggressive on AI and technology, and we update the platform regularly, so you get tools at this level for your preparation. 📚 What's inside Every GATE DA paper since the branch began in 2024, with solutions, arranged by the official GATE DA syllabus. Engineering Mathematics and General Aptitude, the two sections common to every GATE paper. Practice questions from other exams on the same topics, tagged by source. 📝 GATE at a glance One CBT · 65 questions · 100 marks (General Aptitude 15) · 3 hours · negative marking on MCQs only · GATE 2027: Feb 2027 (expected). 💳 Plus plan Every PYQ and practice question, solutions, all AI tools, the community and your Course Captain. Valid till 31 Jul 2027 (GATE 2027) or 31 Jul 2028 (GATE 2028).
Select Your Plan
Compare plansPlus includes
- Notes & PDFs · Download
- PYQs · Unlimited
- Practice Questions · Unlimited
- Video Solutions · 5 / day
- Test Series · All tests
- Progress Monitor
What you get
- Target
- 2027
- Validity
- Until 31 Jul 2027
- Community
- Included
Course Curriculum
Probability and Statistics
- Probability
- Statistics
- Permutation and Combination
- Sequence and Series (Series)
- Average
- Mensuration and Geometry
- Probability and Statistics
Programming, Data Structures and Algorithms
- Sorting Algorithms
- Graphs
- Tree
- Stack
- Hashing
- Array
- Queue
- Introduction to DS
- Functions & Modules
- Collections & Strings
- Graph Theory
- Java
- Programming, Data Structures and Algorithms
General Aptitude
- Verbal Analogy (Word Based Analogy)
- Arithmetic
- Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
- Logarithm
- Facts, Inference and Judgements
- Preposition
- Puzzle Solving (Puzzles)
- Crypt Arithmetic
- Tenses
- Data Interpretation
- Venn Diagram
- Percentage
- Sentence Completion (Fill in the blanks)
- Age Problems
- Powers and Exponents (Surds and Indices)
- Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions)
- Simple Interest and Compound Interest
- Cubes & Dices
Linear Algebra
- Linear Algebra
- Linear Algebra
Database Management and Warehousing
- SQL
- Relational Algebra
- Keys & Integrity Constraints
- Data Warehousing & Mining
- File Organization & Indexing
- Relational Model & Functional Dependencies
- Relational Calculus
- ER Diagram
- Decomposition Properties & 4NF
- Database Management and Warehousing
Artificial Intelligence
- Search Algorithms
- Game Playing
- Knowledge Representation
- Propositional and Predicate Logic
- Artificial Intelligence
- Emerging Tech Trends
Calculus and Optimization
- Calculus
- Functions
- Calculus and Optimization
Machine Learning
- Machine Learning
- Artificial Neural Networks
- AI
Instructors
Sanchit Jain
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