This interactive single-page website has been designed to help you effectively prepare for the GATE Data Science and Artificial Intelligence (DA) exam in 2026, taking into account your specific time constraints as a working professional with gym commitments.
- Collapsible Sidebar: Easy navigation across all sections that adapts to any device
- Dark/Light Mode Toggle: Choose your preferred viewing experience
- Mobile-Friendly Layout: Hamburger menu on smaller screens
- Back-to-Top Button: For easy navigation when scrolling through content
- Realistic Daily Schedule: Accounts for your job (9:30 AM - 6:00 PM), commute time, and morning gym routine (6:00 AM - 8:00 AM)
- Subject-Wise Roadmap: Carefully distributes 936+ study hours across all GATE DA subjects
- Phased Approach: Four strategic phases aligned with logical learning progression
- Weekly Suggestions: Detailed week-by-week topic recommendations
- Progress Tracker: Track completed topics with visual progress indicators
- Study Notes: Take, save, and categorize notes by subject using local storage
- Weekly Goals: Set and monitor personal study goals
- Study Hours Logger: Record and visualize your study hours
- Interactive Calendar: View study phase overviews and add custom tasks
- Complete GATE DA Syllabus: All seven core subjects plus General Aptitude
- Free Resource Links: Curated free resources for each subject
- Study Tips: General and subject-specific strategies
- Exam Pattern Details: Clear breakdown of marks distribution and question types
The study plan is structured into four strategic phases:
- Focus on mathematical foundations: Probability, Statistics, Linear Algebra, and Calculus
- Build strong conceptual understanding before tackling advanced topics
- 336 study hours allocated to this critical phase
- Leverage your existing Python and SQL knowledge
- Fill knowledge gaps in data structures, algorithms, and database concepts
- 224 study hours with buffer time for revision
- Deep dive into Machine Learning and Artificial Intelligence
- Balance theory with practical implementation
- 448 study hours for these high-weightage topics
- Comprehensive revision of all subjects
- Regular mock tests to build exam temperament
- Focus on weak areas identified during preparation
- 112 hours dedicated to final preparation
- Daily: Reference the daily schedule to plan your study sessions around work and gym hours
- Weekly: Set specific goals using the Weekly Goals tracker
- Monthly: Follow the phase-specific roadmap and suggested weekly topics
- Throughout:
- Track your progress using the interactive tracker
- Take notes as you study
- Log your study hours
- Use the calendar to visualize your journey
- Local Storage: Your progress, notes, and goals are saved in your browser
- No External Dependencies: Everything runs in a single HTML file
- Print-Friendly: Can be exported as PDF for offline reference
- Cross-Browser Compatible: Works on all modern browsers
- JavaScript Functionality: Real-time interactivity without page reloads
The planner is designed to adapt to your learning pace while ensuring comprehensive coverage of the entire GATE DA syllabus. All data is stored locally on your device, ensuring privacy and offline access.
This tailored study planner will be an invaluable tool in your journey to excel in GATE DA 2026 and secure admission to top universities.
The GATE DA syllabus covers seven major sections with the following marks distribution:
- General Aptitude: 15 marks
- Probability and Statistics: 16 marks
- Linear Algebra: 10 marks
- Calculus and Optimization: 8 marks
- Programming, Data Structures, and Algorithms: 21 marks
- Database Management and Warehousing: 8 marks
- Machine Learning: 11 marks
- Artificial Intelligence: 11 marks
This distribution shows that Programming, DSA, Probability & Statistics, and ML/AI form the core of the syllabus, accounting for nearly 70% of the total marks.
Given your tight schedule, I've designed an optimized daily routine that maximizes your available time slots:
| Time | Activity |
|---|---|
| 05:00-05:45 | Study (Light topics, revision) |
| 06:00-08:00 | Gym |
| 08:00-09:30 | Breakfast and Preparation for Work |
| 09:30-20:30 | Work |
| 20:30-21:00 | Dinner |
| 21:00-23:00 | Study (Main session) |
| Time | Activity |
|---|---|
| 06:00-08:00 | Gym |
| 08:00-09:00 | Breakfast |
| 09:00-12:00 | Study (Core topics) |
| 12:00-13:00 | Lunch |
| 13:00-15:00 | Study (Problems/Exercises) |
| 15:00-16:00 | Break |
| 16:00-19:00 | Study (Practice tests/Mock exams) |
| 19:00-20:00 | Dinner |
| 20:00-22:00 | Revision/Notes making |
I've created a comprehensive month-by-month study plan that covers all GATE DA topics and allocates time based on their importance:
- April 2025: Focus on foundational topics - General Aptitude and Probability & Statistics
- May 2025: Continue with Probability & Statistics and start Linear Algebra
- June 2025: Complete Linear Algebra, begin Calculus & Optimization, start Programming fundamentals
- July 2025: Finish Calculus & Optimization, continue Programming, DSA, and Database topics
- August 2025: Focus on Data Structures & Algorithms in depth
- September 2025: Cover Database Management & Warehousing, start ML preparation
- October 2025: Focus on Machine Learning topics
- November 2025: Cover Artificial Intelligence topics
- December 2025: Comprehensive revision of all subjects
- January 2026: Full-length mock tests and focused revision of weak areas
I've compiled an extensive list of free resources for each subject in the GATE DA syllabus:
-
NPTEL Courses:
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YouTube Channels:
- Khan Academy for Probability concepts
- StatQuest with Josh Starmer for Machine Learning
- Abdul Bari for Algorithms
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Free E-Books:
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Practice Platforms:
- Implement data structures (stacks, queues, linked lists, trees) in Python to understand them better
- Use Python libraries like NumPy and Pandas to understand Linear Algebra concepts
- Create Python scripts to automate practice problem generation
- Regularly solve algorithmic problems on platforms like LeetCode to maintain your Python skills
- Focus on theoretical concepts like normalization, indexing, and query optimization
- Practice writing complex SQL queries to strengthen understanding of relational algebra
- Study the connection between ER diagrams and their SQL implementations
- Compare SQL with NoSQL databases for Data Warehousing questions
- Implement basic ML algorithms from scratch to understand their mathematical foundations
- Focus on the derivations behind gradient descent, backpropagation, and optimization techniques
- Create visualization scripts for ML concepts like decision boundaries and clustering results
- Study the mathematical foundations of different ML models which form a significant portion of GATE DA syllabus
- Use the early morning slot (5:00-5:45 AM) for light revision and memorization tasks that don't require deep concentration
- Dedicate the evening slot (9:00-11:00 PM) for new topics and problem-solving that require more focus
- Create weekly mini-milestones that are achievable within your tight schedule
- Utilize micro-learning opportunities during lunch breaks with flashcards or quick concept reviews
- Practice time-boxing: allocate fixed time slots to specific topics and strictly move on when time is up
- Follow the 80/20 principle: focus on the 20% of topics that contribute to 80% of the questions
- Use weekends strategically for comprehensive practice tests and bridging knowledge gaps
To help you monitor your progress, I've created a comprehensive GATE DA study tracker website. The tracker is accessible at:
- Dashboard showing overall progress
- Subject-wise tracking with progress bars
- Daily schedule tracker tailored to your time constraints
- Resource links section where you can add/remove resource links
- Topic completion tracking for each subject
- Calendar view for planning and marking completed days
- Weekly goals and achievements section
- Countdown to GATE 2026 exam
- Notes section for each topic
The tracker uses local storage to save your progress data, so you won't lose your information between sessions.
- Months 1-2: One mock test every two weeks
- Months 3-5: One mock test every week
- Months 6-7: Two mock tests every week
- Last Month: Three mock tests every week
- Use the first 5 minutes to quickly scan the entire paper and categorize questions
- Follow a 3-round approach: first solve all easy questions, then moderate ones, and finally difficult ones
- For numerical problems, double-check units and perform quick estimations
- When stuck on a problem, mark it for review and move on - don't waste time
- Manage negative marking strategically - attempt questions only if you can eliminate at least one option
- Use the last 15 minutes for reviewing marked questions and ensuring all answers are correctly transferred
This comprehensive GATE DA 2026 preparation plan is tailored specifically for your busy schedule as a working professional. By following this structured approach, effectively managing your time, utilizing free resources, and leveraging your existing knowledge in Python, SQL, and AI/ML, you'll be well-positioned to excel in the GATE DA 2026 exam.
The key to success will be consistency in your preparation despite your busy schedule. The study tracker will help you maintain this consistency by providing clear visibility into your progress and keeping you focused on your goals.
Remember that the GATE exam tests conceptual understanding more than rote memorization. Use your professional experience to connect theoretical concepts with practical applications, which will give you an edge in the examination.
Good luck with your GATE DA 2026 preparation!