Our Data Structure Courses Duration And Fees

Data Structure Certifications typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Caltech Post Graduate Program in Data Science

Cohort Starts: 22 Feb, 2024

11 Months$ 4,500
Post Graduate Program in Data Science

Cohort Starts: 5 Mar, 2024

11 Months$ 4,199
Data Analytics Bootcamp

Cohort Starts: 25 Mar, 2024

6 Months$ 8,500
Data Scientist11 Months$ 2,000
Data Analyst11 Months$ 2,000

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Data Structure Learner's Reviews

  • Merid Belayneh

    Merid Belayneh

    Postdoctoral Researcher

    I had a wonderful learning experience. The lectures were great and engaging. I am now looking forward to getting opportunities in the data science field.

  • Sayanta Barman

    Sayanta Barman

    Consultant, Traffic Engineer

    The entire content is very organized. I got sufficient practical exposure through the live sessions and projects. The course had more implementation than the theoretical part, which helps understand various concepts better. This helped me in applying Data Science to my current role of a Traffic Engineer.

  • A Anthony Davis

    A Anthony Davis

    Simplilearn has one of the best programs available online to earn real-world skills that are in demand worldwide. The Live classes had an industry expert as a lecturer, and you leave each session with a wealth of knowledge and practical skills that can advance your career. Thanks for an excellent experience!

  • Venkateswarlu Muddu

    Venkateswarlu Muddu

    It has been an amazing learning experience. I have started applying the data science concepts at my job. I strongly recommend this course to everyone. Thank you for all your efforts. Thank you, Simplilearn!

  • Danish Khan

    Danish Khan

    Data Scientist

    I finally completed this program in Data Science from Simplilearn in collaboration with Purdue University. It was a great learning experience. It boosted me with the much-needed motivation that even a Civil Engineer can make it as a Data Scientist.

  • Abhinandan Samal

    Abhinandan Samal

    IT Analyst

    I am delighted to announce that I received my Program in Data Science certificate from Prude University and Simplilearn. I gained both theoretical & practical knowledge on R Programming, Python, and Tableau. I want to thank the faculty and mentors who helped me throughout this program with their knowledge, support, and advice.

  • Niyojita Raje

    Niyojita Raje

    Associate Software Engineer

    I'm delighted to share that I have completed the Program in Data Science from Purdue University in partnership with Simplilearn and in collaboration with IBM. I learned various tools and technology such as Python, R, Tableau, ML, and NLP during the journey of 10 months. I want to thank all the instructors at Simplilearn for their support.

  • Veda Gujjula

    Veda Gujjula

    EBI Database Developer III

    I am super happy and excited to announce that I successfully completed Post Graduate Program in Data Science from Purdue University and Simplilearn. This program covered R, Python, Machine learning, NLP, and Tableau.

  • Sujay Krishna

    Sujay Krishna

    Senior Data Scientist

    Academically certified as a Data science professional by Purdue University! Thanks, Simplilearn and Purdue University, for setting up such an interactive platform and motivating environment.

  • A.Anthony Davis

    A.Anthony Davis

    Simplilearn has one of the best programs available online to earn real-world skills that are in demand worldwide. I just completed the Machine Learning Advanced course, and the LMS was excellent.

  • Sateesh Kumar Chillakuru

    Sateesh Kumar Chillakuru

    Simplilearn is a gateway for people who want to enter into the fields of Data Science, AI or Cloud. I found this is to be one of the best online instructor-led portals, and I would definitely recommend it. After the course completion, I was able to change my job role from a Hadoop Developer to a Big Data Engineer with a good salary hike.

  • Palani Somalinga

    Palani Somalinga

    Principal Business Analyst

    Simplilearn is an incredible platform to learn on your own, depending on your availability. All the questions raised about projects are resolved quickly, helping students to complete projects in time.

  • Deepika Vashishtha

    Deepika Vashishtha

    The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.

  • Asna Farah

    Asna Farah

    I want to thank Purdue University and Simplilearn for helping me build my foundations and building more castles in the sky to reach. Thank you to all the faculty at Simplilearn, especially Rahul Aggarwal Sir, for creating a great learning environment. It’s a unique experience, and I’m proud to achieve this.

  • Sanjog Dalvi

    Sanjog Dalvi

    ACOE Associate Analyst

    With the help of Simplilearn, I was able to get my first job in a well-reputed company with a great starting package.

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Data Structure Courses FAQs

  • What are data structures?

    The data structure is the popular form of organizing data. It is used as a process for organizing, storing, and analyzing data. Data structures are used by organizations to manage and analyze data and draw data-based conclusions. Professionals often work with the recognized basic data structures: linked lists, arrays, stacks and queues, graphs, trees, hash tables, heaps, and dictionaries. Data structures are efficient and are usually of three types:

    • Linear Data Structures

    • Static Data Structures

    • And Dynamic Data Structures

  • What are data structures courses?

    The courses that introduce learners to basic algorithms and data structures and the use of structured data in computer science are recognized as data structure courses. In this course, learners come across the advanced concepts of data structures and learn about their various applications. These courses are an introduction to the world of data structure and algorithms and their links to dynamic programming. 

    These courses help you to develop an in-depth knowledge of data structures and algorithms, explore various programming frameworks, tools, and techniques, and gain hands-on experience.

  • Are data structure courses tough?

    Learning data structures and algorithms may seem challenging initially to learners with no prior knowledge of data, computer science, algorithms, and programming language. However, with practice, consistency, hard work, and determination, data structures can become the most interesting field to establish a career. With the right amount of training and guidance, and a comprehensive curriculum of the course, anyone can learn how to handle complex data structures like professionals. You can master algorithms and data structures in quite less time.

  • What are the best data structure courses to attend?

  • What are the career scopes after attending data structure courses?

    There are plenty of career scopes after attending data structures and algorithms courses. The best positions learners can fulfill are:

    • Software Engineer

    • Data Structure Analyst Or DSA

    • Web Developer

    • Mobile Application Developer

    • Game Developer

    • Data Analyst

    • Data Scientist

    • Search Engine Optimization (SEO) Analyst

  • What are the uses of data structures?

    Data structures are very useful for organizations and developers. Data structures are considered one of the most significant databases used for multiple purposes. The most significant uses of data structures are:

    • Designing Software That Is Efficient

    • Designing Algorithms For Computer Programs

    • Data Management

    • Resolving Data-Based Problems Out Of Structured Data 

    • Storing Data In The System

  • Who works with data structures and algorithms in real life?

     Usually, professionals working in the field of computer science use data structures and algorithms frequently. Professionals in software development, web development, data science, and data analytics usually deal with data structures in their day-to-day operations. Data structures are most useful to these professionals in problem-solving, storing and organizing valuable data, and designing software and system algorithms.

  • Who can learn data structures and algorithms?

    Anyone interested in establishing a career in computer science, engineering, data science, software and web development can learn data structures and algorithms. To gain expertise in data structures, a learner must be proficient in any programming language and have a basic knowledge of the data structures and algorithms and the common types of data structures like stacks and queues, trees, hash tables, etc.

  • What skills are there to learn in a data structure course?

    A professional willing to work with data structures must possess many skills essential to real-life functions. Some of the key skills that they must possess are:

    • Problem-Solving Skills

    • Data Analysis Skills

    • Analytical Skills

    • Expertise In Any Programming Language 

    • Knowledge Of Basic Data Structures Like Hash Tables, Graphs, Binary Search Trees, Heaps, Linked list, Etc.

    • Dynamic Programming Skills

    • Be Able To Design Algorithms

    • In-Depth Understanding Of Computer Science And The Data

  • What is the salary of a DSA professional?

    Algorithms and data structures offer a lot of career scope and even a lucrative career. According to various reliable sources, the average salary of a DSA professional is about USD 123,244. They are among the highest-paid professionals whose annual salary packages can range to USD 141,767. Therefore, you can choose to work as a DSA professional and enjoy a profitable career.

  • What are DSA courses?

    DSA courses are where learners delve into data structures and algorithms in depth. In these courses, learners explore the various types of data structures such as Heaps, Linked Lists, Binary Search Trees, Graphs, Hash Tables, Stacks, and Queues, etc. Among these, Linked Lists and Hash tables are the most commonly studied to solve both structured and unstructured data. DSA courses are some of the most comprehensive courses for learning about data structures and how to implement them in the real world.

  • Which programming language is the best for data structures?

    According to experts, it is best to begin with Python to work with the data structure and algorithm. If you want to proceed with an advanced level, you must learn another programming language like JavaScript, C, and Ruby.

  • What qualifications are needed for attending a data structure course?

    To begin with data structures and algorithms, learners must master any commonly-used programming language. This includes Python, JavaScript, C and C++, MATLAB, SQL, etc., and the most commonly-used programming language in structuring data is Python, so it is good to begin with. They must have knowledge of computer science and the data as well.

  • Is learning DSA worth it?

    Learning about data structure and algorithms is worth it because it teaches you to work efficiently with complex data structures. Data structures are essential for all organizations; hence, a DSA expert is always in high demand and is employed to solve data-based problems. Once you attend a data structure and algorithm course, you can work as a Software Engineer, Data Analyst, Data Scientist, Web Developer, and Applications Developer.

  • Why do you need to learn data structures algorithms?

    DSA or Data Structures And Algorithms are essential for all organizations. Learning about data structure and algorithms is necessary because:

    • They Help In Solving Complex Real World Problems 

    • Organizations Can Easily Make Data-Driven Decisions

    • They Help Business With Useful Insights And How To Implement New Solutions

    • Data Structures And Algorithms Make Programming Interesting

    • They Open Doors To Several Career Scopes

    • Data Structures And Algorithms Are Essential In Storing And Organizing Data

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