Learn data structures and algorithms for interviews

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Shreyas P J

6:06:53

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1. Basics of C++

1.1 Install Sublime text.html

1.2 x86 64-8.1.0-release-posix-seh-rt v6-rev0.7z

1. Setting up the programming environment.mp4

02:43

2. Introduction to C++.mp4

04:28

3. Data types in C++.mp4

02:51

4. Conditional Statements in C++.mp4

04:14

5. Looping statements in C++.mp4

05:39

6. Functions and its types.mp4

05:34

7. Time and Space complexity.mp4

08:24

8. Practice lab section 1.mp4

12:17

9. Pattern programs.html

2. Containers in C++

1. Components of C++ STL and arrays.mp4

09:00

2. Pairs, vectors and iterators.mp4

15:08

3. List, stack, queue, deque, Priority queue.mp4

13:57

4. Set, multiset, unordered set.mp4

05:47

5. Map, multimap, unordered map.mp4

05:02

6. Linked List.mp4

06:59

7. Helpful functions in C++.mp4

04:04

8. Practice lab section 2.mp4

17:41

9. Practice programs.html

3. Recursion and Binary Search

1. Recursion introduction.mp4

03:21

2. Example of recursion.mp4

05:06

3. Binary Search intution using recursion.mp4

20:25

4. Practice programs.html

4. Sorting Algorithms

1. Bubble sort implementation.mp4

11:18

2. Time and space complexities of Bubble sort.mp4

04:32

3. Selection sort implementation.mp4

11:22

4. Time and space complexities of Selection sort.mp4

03:23

5. Insertion sort implementation.mp4

10:25

6. Time and space complexities of Insertion sort.mp4

03:19

7. Merge sort implementation.mp4

21:20

8. Time and space complexities of merge sort.mp4

04:16

9. Practice assignment.html

5. Dynamic programming

1. Introduction to dynamic programming.mp4

13:24

2. Dynamic programming on 1D array.mp4

43:28

3. Dynamic programming on 2D arrays.mp4

22:29

4. Practice assignment.html

6. Graphs and Tree data structures

1. Introduction to trees.mp4

10:05

2. Types of Trees.mp4

14:34

3. Graphs and its terminologies.mp4

12:36

4. Storing graphs in memory.mp4

10:40

5. Traversal techniques in graphs.mp4

17:02

6. Practice assignment.html

Description

Clear coding rounds with this comprehensive data structures and algorithms course suited for beginners

What You'll Learn?

Understand basics of C++ language
Compute space and time complexity in algorithms
Familiarize with STL (Standard Template Library) in C++
Understand basic mathematical algorithms for problem solving
Use Containers in C++ like vectors, stack, list, queue, priority queue, set, multiset, unordered set, map, multimap and unordered map
Master abstract concepts like recursion and binary search
Learn all sorting algorithms
Dynamic Programming concepts are made easy
Grasp advanced data structures like trees and graphs with ease

Who is this for?

Anyone interested in Software Development roles

Anyone interested in clearing coding rounds of interviews

Anyone interested in learning algorithms and their implementation

Anyone interested in developing problem solving ability

Anyone interested to learn about advanced data structures

Also for university computer science students who would like to get into SDE roles

Also for anyone else who would like to learn the relevant skills to become top Software engineers

What You Need to Know?

Some existing knowledge of programming language like C++ is a bonus, but not compulsory

Logical thinking ability is a minimum requirement for any programming or coding related skills

Anyone can take this course, it's for beginners to advanced

Basic mathematics/math knowledge is a minimum requirement for any programming/coding related skills

All you need is a stable internet access for this course

More details

Description
Contents: 1 course.

Levels: Beginner, Intermediate and advanced

Course 1: Learn data structures and algorithms for interviews
Tried Learning Data Structures and Algorithms?
Was it all in bits and pieces?

Then now you are in the right place. Here no material is in bits and pieces because we have focused on a total journey from a newbie to a well trained problem solver. We have gone through all topics needed for a solid concept and then we will be going more into the practical side. Once you have mastered DSA there is no getting back from excellence in your career. Allow me to present the beauty of DSA and programming through this course.

This course is made for people who want to learn DSA from A to ZÂ in a well-organized and structured manner. We just donâ€™t teach the basics, we cover all the varieties, and we go in super depth for each topic, so that you are well prepared for any of your interviews.

We cover the fundamentals of C++ programming language required for solving problems on various coding platforms like Leetcode. We start with the basic data structures like arrays, linked lists, stacks, queues and various algorithms associated with these data structures like sorting and searching. We then move onto the advanced concepts like Dynamic programming and trees required for solving harder problems.

Who this course is for:
Anyone interested in Software Development roles
Anyone interested in clearing coding rounds of interviews
Anyone interested in learning algorithms and their implementation
Anyone interested in developing problem solving ability
Anyone interested to learn about advanced data structures
Also for university computer science students who would like to get into SDE roles
Also for anyone else who would like to learn the relevant skills to become top Software engineers

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I'm working in Machine Learning technologies and problem solving for a very long time and I want many students to join me. I will provide you with the best course to start from scratch to a professional level. I want the students to excel in life and make their journey to success a straight pathway.

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