Udemy – Master Data Structure and Algorithms (DSA) for Interviews

About this course:

• While preparing for DSA rounds, one doesn’t always know what all to prepare. And this leads to surprises in interviews. This course sets the syllabus that one must cover.
• You will learn the fundamentals in an easy to understand and engaging way. And you will learn to calculate Time and Space complexity in Big O notation at each step – something which is very important in interviews.
• This course includes author’s own interview experience.
• You will start appreciating the beauty of data structures and algorithms because they solve real world problems. Consider graphs for example – the topological sort can arrange the tasks by dependencies and is used in compilers; minimum spanning tree (MST) can find how to connect all regions with internet using minimum length cable.
• The course theory is explained in programming language agnostic manner. The code provided is highly reliable and complete with comments.
• The code is written in Java but if you know any object oriented language, it would be very easy to understand or even translate. Programming language won’t be a barrier.
• You will be prepared for the next step which is Problem Solving. DSA is an important foundation for problem solving and when prepared well, you will glide into problem solving easily and with confidence.

What this course is not:

• This course is not a replacement of the renowned text books which have taught us the subject matter over the years. This course teaches you what you should know and avoids things which you can skip. It will make you learn fundamentals and become interview ready.
• This course is not about problem solving practice. It is about data structure and algorithms which serves as the pillar for problem solving.

How to go through this course:

• If you find it getting harder at times, you are not alone.
• It can be difficult to understand things in one go. Revisit to strengthen your understanding. You will find your understanding becoming better and better with iterations.
• Don’t hurry up things because understanding fundamentals and practicing them takes time. At the same time, strike a balance by keeping learning time-bound. Spend a finite amount of time on each topic. If you find yourself stuck, move on to the next topic. It is important to make progress. If something feels too hard at the moment, try to grasp as much as you can and advance to the next topic. You can always revisit later.
• Whenever possible, practice coding the algos yourself before looking at the solutions provided. This will help you develop the skill.
• Remember last is not the least. You will probably find Graphs section most interesting. I do.

• Professionals and students preparing for DSA rounds for interviews.
• Anyone looking to achieve a clear understanding and solidify their knowledge on Data Structures and Algorithms.