Gate Courses Offered By GeeksforGeeks


GATE Computer Science and Information Technology 2025 Explore More

GATE Data Science and Artificial Intelligence 2025 Explore More

GATE CS 2025 – Classroom Program Explore More

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What You Will Learn

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GATE Data Science and Artificial Intelligence 2025

  • Get a solid grasp on Mathematics concepts like Probability, Statistics, Calculus and Linear Algebra to build a strong foundation for Data Science and AI.
  • Acquire hands-on programming skills in Python, an essential language for Data Science and AI applications.
  • Gain proficiency in Data Structures like stacks, queues, and trees, and learn essential sorting and searching algorithms.
  • Become skilled in relational databases, SQL, and data warehousing to effectively manage and utilize data.
  • Delve into supervised and unsupervised learning methods such as linear regression, decision trees, and k-means clustering.
  • Explore AI topics from basic search algorithms to advanced adversarial learning, gaining a rounded skill set.

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GATE Computer Science & Information Technology 2025

  • Computer Networks
  • Computer Organization and Architecture
  • Digital Logic
  • Theory of Computation
  • Database Management Systems
  • Compiler Design
  • Operating System
  • Programming and Data Structures
  • Algorithms
  • Engineering Mathematics
  • General Aptitude

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GATE CS 2025 – Classroom Program

  • Master fundamental mathematical concepts including Probability, Statistics, Calculus, and Linear Algebra to establish a robust groundwork for Data Science and AI.
  • Develop practical coding abilities in Python, a crucial language for Data Science and AI endeavors.
  • Acquire proficiency in Data Structures such as stacks, queues, and trees, alongside essential sorting and searching algorithms.
  • Attain expertise in relational databases, SQL, and data warehousing for effective data management and utilization.
  • Deepen understanding in both supervised and unsupervised learning techniques like linear regression, decision trees, and k-means clustering.
  • Explore a wide range of AI subjects, spanning from elementary search algorithms to advanced adversarial learning, to cultivate a comprehensive skill set.

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Gate Courses By w3wiki [Offline/Online]

Cracking the GATE exam for Computer Science or Information Technology is within your reach. w3wiki offers a comprehensive selection of GATE courses designed to transform you from unsure to exam-ready. Understanding that learning styles differ, we provide both GATE offline classes for those who succeed in structured environments and GATE online classes for those who prefer the flexibility of self-paced learning.

Our faculty consists of GATE experts who excel at simplifying complex concepts into clear, understandable lessons. We also provide a multitude of practice problems to ensure you’re well-equipped to conquer any challenge the GATE exam throws your way. With w3wiki, you’ll gain all the tools and support you require to crush the GATE exam and achieve your academic goals.

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Key Features Of Offline Classes

Offline weekend classes for the ease of the students. The benefit of learning in the physical mode from the experienced mentors. Limited students in every batch. Provide the recording of the lectures in case you miss it. 24*7 doubt support team Industry-level projects and resume-building sessions. All the courses are beginner-friendly. Quizzes, Assessments, and homework are also designed by the top faculty. We cover strategy, tips & tricks, problem-solving, and core concepts Free Wi-fi and other technical assistance in the classroom is also provided....

Gate Courses Offered By GeeksforGeeks

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Meet Your Instructors

Name of Faculty Member Experience Santosh Verma Ex-Ass. Professor IIIT Allahabad Avinash Kumar 10+ Year Teaching Experience Karan AIR 1951 (JEE Mains) AIR 6330 (JEE Adv.) Sakshi Singhal AIR 56 Akash Mondal AIR 52 GATE CS Souradeep Mukhopadhyay AIR 44 GATE CS...

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