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Data Structures and Algorithms using Python in Mumbai

A hallmark of the best course for data structures and algorithms is the projects that help develop domain expertise. Master career-building skill sets in data science with experience in data structures and algorithms using 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 Mumbai

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
4.8

Upskill yourself with our Data Structures and Algorithms using Python course in Mumbai

With Skill-Lync's Data Structures and Algorithms using Python course you can gain hands-on industry experience in fundamental-to-advanced Data Structures and Algorithms concepts through practical learning.

The Skill Lync's 'Data Structures and Algorithms using Python' is a three-month advanced data structures course for Mumbai students which focuses on all basic-to-advanced level concepts coupled with real-world problem-solving and code implementation sessions. It is an industry-experts-led course designed precisely to help students acquire the requisite problem-solving and programming skills to crack a job role in the leading tech corporations of the world.

The program curriculum of the data structures and algorithms course in Mumbai consists of a twelve-week industry-oriented study plan covering crucial DSA concepts, including Lists, Stacks and Queues, Trees, Heaps and Tries, Graphs & Algorithms, Sorting, Searching & Hashing, Greedy Algorithms, Divide and Conquer techniques, Backtracking, Dynamic Programming, etc., to help deliver exhaustive, hands-on data structures and algorithms training in Mumbai.

Skill-Lync has curated the course with an industry-centric approach, keeping in mind the future of computer science and the IT industry. As one of the best data structures and algorithms course in Mumbai, the curriculum includes 200+ hours of coding sessions. The program is available in three different plans, each with its own set of benefits. You can select the one you prefer and embark on your journey to get upskilled. Regardless, Skill-Lync will provide you with dedicated technical support throughout the course.

FAQs About Python Data Structures(Mumbai) 

Why should you go for the Skill-Lync Data Structures and Algorithms using Python course in Mumbai?

With the current boom in the new-age tech space, the data structures course in Mumbai will set you on the right career trajectory for in-demand job roles in AI/ML, software development, and other affiliated domains.

What are the prerequisites for taking the Skill-Lync's Data Structures and Algorithms using Python course in Mumbai?

This course is open to all software programmers, developers, students, professionals, and anyone interested in understanding what is data structure, and who wants to pursue a career in the fast-paced, cutting-edge tech industry.

What is the program fee for the Skill-Lync Data Structures and Algorithms using Python course in Mumbai?

Depending on the candidates' requirements, they can choose two months of access with the Basic plan (at INR 7000 per month for 3 months), 4 months of access with Pro (at INR 10,000 per month for 3 months), and lifetime access (at INR 15,000 per month for 3 months).

What are the benefits of pursuing the Skill-Lync Data Structures and Algorithms using Python course in Mumbai?

It's the best data structures online course in Mumbai that will train you on the fundamental-to-advanced level DSA concepts and approaches like Sorting, Searching & Hashing, Greedy algorithms, Backtracking, Dynamic Programming, etc. Moreover, you'll get 200+ hours of practising Python coding and the opportunity to learn how to build scalable programs.

What are the career prospects after completing the Skill-Lync Data Structures and Algorithms using Python course in Mumbai?

After successful completion of this Data Structures online course, you get upskilled to apply to several in-demand job positions in Mumbai like-

What is the expected salary range after completing the Skill-Lync Data Structures and Algorithms using Python course in Mumbai?

Data Structures & Algorithms experts earn an average salary of INR 19.4 lakhs, with most earning between INR 6.0 lakhs and INR 50.0 lakhs.

Flexible Pricing

Talk to our career counsellors to get flexible payment options.

Premium

INR 40,000

Inclusive of all charges


Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

  • 1 Year Accessto Skill-Lync’s Learning Management System (LMS)

  • Personalized Pageto showcase Projects & Certifications

  • Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.

  • Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.

  • Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.

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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