Why extensive Data Structures and Algorithms (DSA) is not absolute necessity for freshers

Why extensive Data Structures and Algorithms (DSA) is not absolute necessity for freshers

Here are a few key reasons why extensive Data Structures and Algorithms (DSA) knowledge may not be an absolute necessity for freshers:

  1. Opportunities and demand - There are many developer roles, especially at startups and smaller companies, that do not require deep DSA skills from freshers. Focus is more on willingness to learn.
  2. Learn on the job - Many companies have dedicated training periods for freshers to take time and grasp concepts like DSA at their own pace once on the job.
  3. Complex for beginners - DSA can be quite complex for someone new to coding with no practical experience. Need to learn language fundamentals first.
  4. Bigger picture on projects - For freshers working on real-world projects to build their skills is more important than just solving isolated DSA problems.
  5. Many specializations - Areas like front-end web focus more on frameworks, responsiveness, UX where DSA fundamentals play a lesser part initially.

So while the theoretical foundations provided by DSA are invaluable in the long run, at the fresher level is it critical to take a broader view and focus on gaining well-rounded coding skills not just DSA expertise. Core DSA picks up along the way.

TechXyte | Full Stack Courses & Careers , Madhu Uligiaur

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