Data Structures
Algorithms
Programming
Computer Science
Analysis
Design
Complexity
Efficiency
Sorting
Searching
Trees
Graphs
Dynamic Programming
Recursion
Divide and Conquer
Greedy Algorithms
Hashing
Heap
Stack
Queue
Linked List
Array
Big O Notation
Space Complexity
Time Com...
algorithms programming computer science analysis design complexity efficiency sorting searching trees graphs dynamic programming recursion divide and conquer greedy algor
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Course Introduction
This course is designed for placement preparation and will mainly cover data structures and
algorithms using C and C++. Even if you do not know C++, you will still be able to follow
along easily. The notes will be made available as a PDF in the description below.
Data Structures and Algorithms
Data structures are used to arrange data in main memory for efficient usage while algorithms
are a sequence of steps to solve a given problem. In this course, we will cover arrays, linked
lists, and graphs as examples of data structures and dive into solving problems using
different algorithms.
Programming Languages
C and C++ will be the primary languages used in this course but Java can also be used to
implement the algorithms. I do not recommend Python or JavaScript for beginners but rather
suggest learning C to get a solid foundation in programming.
Conclusion
Learning data structures and algorithms is a responsibility and I will teach this course in a
way that is easy to understand for beginners. Don't worry if you make mistakes or have
trouble at first, just follow along step by step and everything will become clear.
Data Structures & Algorithms for Placements
This course is primarily for those preparing for placements or job interviews.
Time is limited when preparing for placements, so this course is structured to value your
time. A 15-hour video on C with notes is available on the channel, which will be covered first.
If you're an advanced Java user or can program algorithms in Python, then it's possible to do
so. However, it's recommended to learn C and C++ first.
Data structure is an arrangement of data in main memory, which refers to RAM (Random
Access Memory) of 2, 4, 8, 16, or 32 GB. The sequence of RAM usage is important when
loading a program like "chrome.exe" for Windows. Fiddling with data occurs in main memory,
which must be arranged optimally using data structures to minimize RAM usage.
The theory of databases is not covered in this course, but you should know their basic
concepts. When opening a new tab, a large amount of data is stored in a database that must
be retrieved and updated regularly. Data warehouses store data permanently for faster
retrieval and updation for analysis purposes. Legacy data needs to be stored separately
from the main system.
Sorting Algorithms
The example used here is sorting arrays in ascending or descending order. An algorithm is a
series of steps to create a process. When sorting an array, steps must be taken to sort in
ascending or descending order. The steps taken to sort an algorithm into an array define the
algorithm.
Data Warehousing and Big Data
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