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Data Structures and Algorithms using Python in Bangalore

A 3 month course which includes content that will help you learn everything you need to know about Data Structures and Algorithms.

12 weeks long course | 100% Online

Learn from leading experts in the industry

Learn Key Tools & Technologies Python

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • This course encloses the basic and advanced topics of Data Structures and Algorithms along with code implementation and problem solving sessions.
  • By taking up this course from SKILL-LYNC, you will clock in 200+ hours of coding for a wide range of problems.
  • You will also be taught how scalable programs are built and will be exposed to the skills that top tech companies expect from programmers
  • This course will help in developing the necessary problem-solving coding skills, to crack the coding interviews for most software companies
  • This course is designed to help a new developer explore the theoretical and practical aspects of coding 

Course Syllabus in Bangalore

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week - 01 Introduction

  • Abstract data type and Data Structure
  • Complexity Analysis
    • Asymptotic analysis
    • Comparison of functions
    • Recurrence Relations
    • Time complexity
    • Space complexity
  • Iteration
  • Recursion

Week - 02 Lists

  • Arrays
    • Static arrays
    • Dynamic arrays
    • 2D arrays
  • Strings
  • Linked List
    • Singly Linked List and its operations
    • Doubly Linked List and its operations
    • Circular Linked List and its operations

 

Week - 03 Stacks and Queues

  • Stacks
    • Implementations- using arrays, using linked lists
    • Operations
    • Applications
  • Queues
    • Implementations- using arrays, using linked list, using two stacks
    • Circular queues
    • Priority queues
  • Amortized Analysis
  • Stacks and Queues in Python

Week -04 Trees

  • Binary Trees:
    • Representations
    • Pre-order, In-order
    • Post-order traversals
  • Expression trees
  • Successor and Predecessor
  • Binary Search Trees and their operations
  • AVL Trees and their operations
  • Red-Black trees, Interval trees, Segment trees, B-trees, B+ trees

Week - 05 Heaps and Tries

  • Heaps
    • Min Heap
    • Max Heap
    • Implementation
    • Operations
  • Priority Queues
    • Implementations
    • Uses
  • Tries
    • Implementations
    • Uses

 

Week - 06 Graphs

  • Graphs
    • Representation
    • Implementation
    • Types of Graphs
  • Minimum cost spanning tree problem
  • Traversing Graph
    • Depth First Search
    • Breadth-First Search
  • Single-Source Shortest path problem
    • Dijkstra's algorithm
    • Bellman-Ford algorithm
  • Disjoint Sets
    • Union by rank
    • Path compression
    • Applications

 

Week - 07 Sorting

  • Types of sorting techniques
  • Bubble Sort
  • Insertion Sort
  • Selection Sort
  • Quick Sort
  • Merge Sort
  • Heap Sort
  • Count Sort
  • Bucket Sort
  • Radix Sort
  • Shell Sort
  • Topological Sort

 

Week - 08 Searching and Hashing

  • Searching
    • Linear Search
    • Binary Search
  • Hashing
    • Hash function
    • Collision handling
      • Chaining
      • Open addressing
      • Linear probing, primary clustering
      • Quadratic probing, secondary clustering
      • Double hashing
    • Hash Tables
  • Collection Module in Python

 

Week - 09 Greedy Algorithms

  • Optimization Problems
  • Types of algorithms
  • Greedy Algorithms
    • The strategies of Greedy Algorithms
    • Elements of Greedy Algorithms
    • Advantages of Greedy Algorithms
    • Disadvantages of Greedy Algorithms
    • Applications of Greedy Algorithms

Week - 10 Divide and Conquer

  • Divide and Conquer Techniques
    • Strategies 
    • Advantages 
    • Disadvantages 
    • Master theorem 
    • Applications 
  • Special types of problems
    • Bit Manipulation problems
    • Two pointer problems
    • Sliding Window problems
    • Merge Intervals problems

Week - 11 Backtracking

  • Backtracking
    • Brute Force Approach
    • N Queens Problem
  • String matching Algorithms
    • Brute Force Method
    • KMP
    • Rabin Karp
  • Data Structures for storing strings

 

Week - 12 Dynamic Programming

  • Dynamic Programming
    • Approaches of Dynamic Programming
    • Top-down approach
    • Bottom-up approach
    • Properties of Dynamic Programming
  • Comparison of Algorithmic Techniques learned
  • Regular Expressions
  • Pattern matching algorithm
  • Complexity Classes
  • P, NP, NP-Hard, NP-Complete
  • Is P==NP?
  • Problem Solving Summary

 

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Get your dream job by enrolling and learning from the best data structures online course in Bangalore.

The data structures and algorithms course using Python is an excellent choice for students who want to work in Big Data or machine learning-based companies. Large amounts of data and analytics have acquired great popularity in recent years. Python has quickly risen to become the programming language of choice among data scientists. Its advantages are scalability, ease of coding, and extensive library and framework collection.

You don't need to be a genius in mathematics to start with Skill-Lync's data structures online course (DSA) in Python. There are mathematical concepts used to perform algorithms. If you know these basics, you are ready to get started with data structures training in Bangalore.

The Python programming using data structures course in Bangalore is no wonder a hot topic in 2022. And if you learn the concept and language, you will surely get a job in the programming field. Among many programming languages, Skill-Lync offers one of the best data structures online courses in Bangalore that helps you to learn and also has a high demand in all kinds of industries, including healthcare, finance, government, science, and so on. 

A brief internet search will show many Jobs In Bengaluru are available. It is home to the world's largest technology businesses, including Microsoft, Google, Amazon, and others. If you have the necessary expertise gained from the data structures and algorithms course, obtaining a job in Bengaluru is not tricky. 

Everyone knows that Bangalore is India's information technology capital, sometimes known as the ‘Silicon Valley of India.’ Because of prominent IT businesses and other diverse sectors, students and working professionals can easily find their dream job after enrolling and learning from Skill-Lync's data structures and algorithms course. 

FAQs About Data Structures and Algorithms using Python course in Banglore

Why go for the data structures online course in Bangalore?

Bangalore is often regarded as the best city globally for job prospects. Most businesses in this area provide flexible working hours and excellent workplace culture. As a result, the level of competition among the numerous enterprises based in the city is generally considerable, and the city also provides a competitive wage package. 

What are the prerequisites for taking up the best data structures and algorithms course?

There are no prerequisites as such. Students interested in the field or having a Bachelor's degree in Computer science or IT can take up this course.  

What is the program fee of Skill-Lync's data structures and algorithms course in Bangalore?

There are three plans that you can choose from. For the basic plan, you need to pay INR 7000 for 3 months for 2 months of access; for the pro plan, you need to pay INR 10,000 for 3 months for 4 months of access; and for the premium plan, you need to pay INR 15,000 for 3 months for lifetime access.

What are the benefits of pursuing data structures training in Bangalore?

Pursuing a course at Skill-Lync would offer many benefits to you,

  • Industry-oriented curriculum.
  • Hands-on experience in solving industry projects.
  • Email and forum support from the technical support team to clear your doubts.
  • A certificate of completion.

What are the career prospects after completing the data structures and algorithms course?  

After completing the data structures and algorithm course using Python, you can apply for different positions, such as:

What is the expected salary range after completing a data structures and algorithms course in Bangalore?

Students who have knowledge of Data Structures and Python earn an average of ₹19 lakhs, mostly ranging from ₹16lakhs to ₹50lakhs. However, your pay package primarily depends on your expertise.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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10 years in the experience range

Instructors with 10 years extensive industry experience.

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Areas of expertise

  • Full Stack development

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