Aptitude Syllabus
I. Quantitative Aptitude 
1. Number Systems 
2. LCM &amp; HCF 
3. Ratio &amp; Proportions 
4. Partnership 
5. Mixture and Alligation
6. Ages
7. Averages 
8. Percentages 
9. Simple Interest and Compound Interest 
10. Time and Work 
11. Pipes and Cistern 
12. Time, Speed and Distance 
13. Problems on Trains 
14. Problems on Boats and Streams 
15. Linear Race 
16. Circular Race 
17. Logarithms 
18. Surds and Indices 
19. Progressions 
20. Profit and Loss 
21. Geometry and Mensuration
&nbsp;
II. Analytical Aptitude 
1. Blood Relationship 
2. Coding and Decoding 
3. Number Series 
4. Alphabetical Series 
5. Odd-Man-Out 
6. Venn Diagrams 
7. Direction Sensing 
8. Analytical Reasoning 
9. Clocks 
10. Calendar
11. Cubes and Dice
12. Arithmetic Reasoning
13. Coded Inequalities 
14. Syllogism 
15. Logical Conclusion 
16. Data Interpretation
&nbsp;
&nbsp;
III. Spatial Aptitude 
1. Visual Reasoning - Series
2. Pattern Completion 
3. Spotting Embedded Figures 
4. Classification of figures 
5. Mirror Images 
6. Water Images 
7. Paper Folding 
8. Paper Cutting 
9. Grouping Figures 
10. Assembling Figures 
11. Rotating Figures 
12. Figure Matrix 
13. Logical Thinking with respect to Figures

The GATE (Graduate Aptitude Test in Engineering) Data Science and Artificial Intelligence course covers a comprehensive range of subjects that are crucial for understanding and excelling in the field. The syllabus is designed to assess candidates&#39; knowledge in various areas related to data science, artificial intelligence, and related fields.
Key Features:
<ol>
	<li class="p" style="text-align:left; margin-bottom:7px">300+ Hours of Content.</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Latest GATE&nbsp;Videos Access.&nbsp;</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Practice Questions.</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Test Series.&nbsp;(Test Series will be available from June 30th)</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Doubt Clearing Sessions.</li>
</ol>
Instructors
<img alt="" src="https://appxcontent.kaxa.in/paperimages/17067008401706700840_thump.jpg" style="height:125px; width:123px" />
Prof. Ravindrababu Ravula&nbsp;is a dedicated Teacher with 15+ years of experience and a deep passion for computer science. Students call him&nbsp;RBR Sir and he&nbsp;did his&nbsp;Masters&#39; degree in Computer Science from IISc Bangalore.
<img alt="" src="https://appxcontent.kaxa.in/paperimages/17067009681706700968_thump.png" style="height:125px; width:123px" />
Jay Bansal (AIR 2)&nbsp;did his MTech from&nbsp;IIT Bombay (Specialising in deep networks and image processing). Working as an ML Engineer at Google, working on making cool products using state-of-the-art LLMs like Bard and Gemini.
&nbsp;
<img alt="" src="https://appxcontent.kaxa.in/paperimages/1717314131_1717314131896243_thump.jpg" style="height:123px; width:123px" />
Venkatesh E completed his MTech in Artificial Intelligence from IIT Hyderabad. He is currently a Machine Learning Engineer at Qualcomm, where he works on the Qualcomm Cloud AI100 compute accelerator, a leading technology for AI workload inferencing. With a deep interest in Natural Language Processing, Venkatesh has published two notable research papers in prestigious conferences, AAAI-21 and ACL-23, underscoring his contributions to the field.
Syllabus
Probability and Statistics 
Linear Algebra 
Calculus and Optimization 
Programming, Data Structures, and Algorithms 
Database Management and Warehousing 
Machine Learning 
Artificial Intelligence 
General Aptitude
&nbsp;
&nbsp;
For Any Queries:
Email: gate2014.ravindra@gmail.com
&nbsp;
&nbsp;
&nbsp;
Note: No Refund
&nbsp;
&nbsp;

The GATE (Graduate Aptitude Test in Engineering) Data Science and Artificial Intelligence course covers a comprehensive range of subjects that are crucial for understanding and excelling in the field. The syllabus is designed to assess candidates&#39; knowledge in various areas related to data science, artificial intelligence, and related fields.
Key Features:
<ol>
	<li class="p" style="text-align:left; margin-bottom:7px">300+ Hours of Content.</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Latest GATE&nbsp;Videos Access.&nbsp;</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Practice Questions.</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Test Series.&nbsp;(Test Series will be available from June 30th)</li>
	<li class="p" style="text-align:left; margin-bottom:7px">Doubt Clearing Sessions.</li>
</ol>
Instructors
<img alt="" src="https://appxcontent.kaxa.in/paperimages/17067008401706700840_thump.jpg" style="height:125px; width:123px" />
Prof. Ravindrababu Ravula&nbsp;is a dedicated Teacher with 15+ years of experience and a deep passion for computer science. Students call him&nbsp;RBR Sir and he&nbsp;did his&nbsp;Masters&#39; degree in Computer Science from IISc Bangalore.
<img alt="" src="https://appxcontent.kaxa.in/paperimages/17067009681706700968_thump.png" style="height:125px; width:123px" />
Jay Bansal (AIR 2)&nbsp;did his MTech from&nbsp;IIT Bombay (Specialising in deep networks and image processing). Working as an ML Engineer at Google, working on making cool products using state-of-the-art LLMs like Bard and Gemini.
&nbsp;
<img alt="" src="https://appxcontent.kaxa.in/paperimages/1717314131_1717314131896243_thump.jpg" style="height:123px; width:123px" />
Venkatesh E completed his MTech in Artificial Intelligence from IIT Hyderabad. He is currently a Machine Learning Engineer at Qualcomm, where he works on the Qualcomm Cloud AI100 compute accelerator, a leading technology for AI workload inferencing. With a deep interest in Natural Language Processing, Venkatesh has published two notable research papers in prestigious conferences, AAAI-21 and ACL-23, underscoring his contributions to the field.
Syllabus
Probability and Statistics 
Linear Algebra 
Calculus and Optimization 
Programming, Data Structures, and Algorithms 
Database Management and Warehousing 
Machine Learning 
Artificial Intelligence 
General Aptitude
&nbsp;
&nbsp;
&nbsp;
For Any Queries:
Email: gate2014.ravindra@gmail.com
&nbsp;
&nbsp;
&nbsp;
Note: No Refund
&nbsp;
&nbsp;
&nbsp;

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Digital Products

₹150 ₹35058% off

₹10,000 ₹20,00050% off

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Download App

₹150
₹350
58% off

₹10,000
₹20,000
50% off

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₹25,000
40% off