An Introduction to Data Structures and Algorithms Specialization

Data Structures and Algorithms Specialization

Data Structures training in vizag

Master Algorithmic Programming Techniques. Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving.

Ace coding interviews by implementing each algorithmic challenge in this Specialization.

Apply the newly-learned algorithmic techniques to real-life problems, such as analyzing a huge social network or sequencing a genome of a deadly pathogen.

What you’ll learn

• Play with 50 algorithmic puzzles on your smartphone to develop your algorithmic intuition!

  Apply algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc.) and data structures (stacks, queues, trees, graphs, etc.) to solve 100 programming challenges that often appear at interviews at high-tech companies.

  Get an instant feedback on whether your solution is correct.

  • Apply the newly learned algorithms to solve real-world challenges: navigating in a Big Network  or assembling a genome of a deadly pathogen from millions of short substrings of its DNA.

    

    Data Structures training in vizag

  Advance your subject-matter expertise

  • Learn in-demand skills from JNNC Technologies
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts

  

  Specialization

  We also believe that the best way to learn an algorithm is to program it.

  Algorithmic Toolbox

  What you’ll learn

  • Essential algorithmic techniques

  • Design efficient algorithms

  • Practice solving algorithmic interview problems

  • Implement efficient and reliable solutions

    Data Structures

    A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently.

    In this online course, we consider the common data structures that are used in various computational problems.

    You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments.

    Algorithms on Graphs

    

    What you’ll learn

    If you have ever used a navigation service to find optimal route and estimate time to destination, you’ve used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks!

    If you’re looking for the fastest time to get to work, cheapest way to connect a set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you’re going to work with graphs and algorithms on graphs.

    In this online course, you will first learn what a graph is and what are some of the most important properties.

    Then you’ll learn several ways to traverse graphs and how you can do useful things while traversing the graph in some order.

    We will then talk about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services.

    You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project.

    We will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms.Data Structures training in vizag

    Algorithms on Strings

    What you’ll learn

    World and internet is full of textual information.

    We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science.

    To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.

    In this online course you will learn key pattern matching concepts: tries, suffix trees, suffix arrays and even the Burrows-Wheeler transform.

    Data Structures training in vizag

    Advanced Algorithms and Complexity

    What you’ll learn

    In previous courses of our online specialization you’ve learned the basic algorithms, and now you are ready to step into the area of more complex problems and algorithms to solve them.

    Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications.

    1. Course 1: Data Structures
       • Introduction to data structures: arrays, linked lists, stacks, queues, trees, and graphs.
       • Basic operations on data structures: insertion, deletion, traversal, and search.
       • Analysis of data structures: time complexity, space complexity, and Big O notation.
       • Implementation of data structures in programming languages like C++, Java, or Python.
    2. Course 2: Algorithms
       • Introduction to algorithms: sorting, searching, and graph algorithms.
       • Algorithm analysis: asymptotic notation, recurrence relations, and complexity analysis.
       • Design techniques: divide and conquer, greedy algorithms, dynamic programming, and backtracking.
       • Implementation of algorithms and their applications.
    3. Course 3: Advanced Data Structures
       • Advanced data structures: heaps, hash tables, disjoint sets, and advanced tree structures.
       • Space and time trade-offs in data structure design.
       • Comparison of different data structures for various problem scenarios.
       • Application of advanced data structures in real-world problems.
    4. Course 4: Advanced Algorithms
       • Advanced algorithmic techniques: randomized algorithms, approximation algorithms, and parallel algorithms.
       • Advanced graph algorithms: shortest paths, minimum spanning trees, and network flow.
       • String algorithms: pattern matching, string sorting, and text compression.
       • Computational geometry algorithms and their applications.
    5. Course 5: Capstone Project
       • A hands-on project where you apply the concepts learned in the specialization to solve a real-world problem.
       • Implementation of efficient data structures and algorithms to address the problem statement.
       • Analysis of the performance of the solution and optimization techniques applied.

    By completing the Data Structures and Algorithms Specialization, you will gain a strong foundation in data structures and algorithms, which are essential for a career in software development, data science,