Data Structures are involved in making algorithms and tools to manage, organize, and store data in a computer to use it effectively. They are the building blocks to run any program efficiently. Data Structures courses are pursued by aspirants or even data scientists who want to understand the Structures of data and be able to make algorithms to deploy, run, and/or sort applications through algorithms and coding.
Candidates can learn about Data Structures while pursuing full-time undergraduate programs such as BTech, BE, etc. However, candidates can pursue online Data Structures courses on platforms such as Udemy, Coursera, NPTEL, etc to upskill their careers as software engineers, software developers, and computer programmers.
After completing Data Structures courses, one can work as a Web Developer, Software Engineer, Mobile App Developer, etc. According to Payscale, the average salary received by the graduate in this field is around INR 2.5 LPA and it can rise up to INR 15 LPA with experience.
All About Data Structures Courses
- Data Structures is a process of organizing data in such a way that it can be used effectively.
- Data Structures courses are generally offered as Computer science or Information Technology (IT) courses. These courses are available in all levels of study i.e, UG, PG, Doctorate, Diploma, and Certificate. Check Out: Top BTech CS Colleges
- The course curriculum consists of different types of Abstract Data Types, Linear linked list, Circular linked list, Stack Operations, etc. Data Structures is used in most programming languages such as Java, C++, Python, etc.
- Data Structures system is ideal for candidates willing to make a career in the IT industry, especially in Software development, and web development.
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Top Online Data Structures Courses
Data Structures Courses are available online on platforms such as Udemy, Udacity, Coding Ninja, Coursera etc. Online Data Structures courses are short-term certificate courses that a candidate can complete within 1 – 6 months. Some of the online Data Structures courses offered by websites such as NPTEL are taught by IIT Professionals. Websites such as Udacity offer free Data Structures Courses provided by tech giants such as Google.
Data Structures Courses on Coursera
Coursera is one such platform that helps educators and students come on a platform to get at least the basics of the course. The courses provided on Coursera will guide you step by step on learning from the concept of Data Structures course to being a Pro.
| Course Name | Duration | Average Fees |
|---|---|---|
| Data Structures and Algorithms Specialization | 8 months | INR 3,649 |
| Object-Oriented Data Structures in C++ | 21 hours | INR 5,884 |
| Data Structures and Algorithms Specialization | 3 Months | INR 5,884 |
| Object-Oriented Java Programming: Data Structures and Beyond Specialization | 7 months | INR 3,649 |
| Ordered Data Structures | 19 Hours | INR 5,884 |
| Graph Search, Shortest Paths, and Data Structures | 15 Hours | INR 3,649 |
| Unordered Data Structures | 21 Hours | INR 5,884 |
| Data Structures | 25 Hours | INR 3,649 |
| Inheritance and Data Structures in Java | 21 Hours | INR 2,904 |
| Advanced-Data Structures in Java | 29 hours | INR 3,649 |
Data Structures Courses on Udemy
Udemy Data Structures courses can be completed within a day and with reasonable fees. The courses on Udemy help students to learn all the concepts of Data Structures such as Trees, Linked Lists, Object-Oriented Programming, Recursion, Backtracking, etc.
| Course Name | Duration | Average Fees |
|---|---|---|
| Mastering Data Structures & Algorithms using C and C++ | 58.5 Hours | INR 385 |
| Master the Coding Interviews - Data Structures + Algorithms | 19.5 hours | INR 385 |
| Data Structures & Algorithms Essentials using C++ (2023) | 34.5 hours | INR 385 |
| Introduction to Data Structures & Algorithms in Java | 5 hours | INR 385 |
| Data Structures and Algorithms In C | 10 hours | INR 385 |
| Python for Data Structures, Algorithms, and Interviews | 16.5 hours | INR 385 |
| Data Structures and Algorithms in C++ For Coding Interview | 7 Hours | INR 385 |
| Data Structures and Algorithms: Deep Dive Using Java | 16 hours | INR 385 |
| Easy to Advanced Data Structures | 8.5 hours | INR 385 |
| Data Structures A-Z : Data Structures + Algorithms Bootcamp | 7.5 Hours | INR 385 |
NPTEL Data Structures Courses
NPTEL Data Structures Courses are short-term self-paced courses that are taught by IIT professionals. Candidates get a certificate after successful completion of NPTEL Data Structures Courses.
| Course | Provider | Duration |
|---|---|---|
| Programming, Data Structures And Algorithms | IIT Madras |
Self-Paced |
| Programming And Data Structures (PDS) | IIT Madras | |
| Data Structures And Program Methodology | IIT Guwahati | |
| Data Structures And Algorithms | IIT Delhi | |
| Programming, Data Structures And Algorithms Using Python | IIT Madras |
Coding Ninjas Data Structures Courses
Data Structures courses on Coding Ninjas are usually 1 – 6 Months long in duration. Coding Ninjas provides both free and paid data Structures courses.
| Course Name | Duration |
|---|---|
| Data Structures & Algorithms | 2 Months |
| Basics of C++ with Data Structures and Algorithms | 6 Months |
| Basics of Java with Data Structures and Algorithms | 6 Months |
| Basics of Python with Data Structures and Algorithms | 6 Months |
| Start learning C++ Foundation for free | 25 Hours |
Udacity Data Structures Courses
Udacity Data Structures courses are 1 to 4 months in duration. Some of the top free and paid Udacity Data Structures courses are listed below.
| Course Name | Duration | Average Fees(USD) |
|---|---|---|
| Data Structures and Algorithms Ace Technical Coding Interviews (Nanodegree) | 4 Months | USD 399 |
| Intro to Data Structures and Algorithms by Google | 1 Month | Free |
| Data Structures & Algorithms in Swift | 1 Month | Free |
| Intro to Algorithms by Social Network Analysis | 4 Months | Free |
Data Structures Courses Syllabus
Data Structures course is a short-term course usually of 1-6 months. The course curriculum consists of different types of data types, operations on the linear list, etc. Some of the important topics covered in Data Structures are listed below.
| Abstract Data Types | Linear linked list |
| Circular linked list | Arrays |
| Stack Operations | Queues operations |
| Searching | Sorting |
| Binary tree | Comparisons of sorting and searching |
Skills Required in the field of Data Structures
Below is the list of top skills a Programmer with knowledge of Data Structures should have. One should have sound knowledge of the following software.
| Algorithm Coding | HTML | CSS |
| C and C++ | API | GIT |
| JavaScript | PHP | Java |
Scope of Data Structures Courses
Having knowledge of Data Structures is the prerequisite of a good Software developer. Most of the top tech companies focus on the persons having more knowledge of Data Structures to improve the functioning of an application and make it more efficient.
Data Structures Courses: Top Job Profiles
Some of the top job profiles along with top recruiters are curated below:
| Job Profile | Job Description | Average Salary |
|---|---|---|
| Software Engineer | A Software Engineer is a developer of mobile applications, games, network systems, etc. they are the main persons behind the making of software. They use programming languages such as Java, C++, Python, and use databases, frameworks, servers, and other technologies. | INR 4,50,000 |
| Programmer Analyst | Programmer Analysts perform the job of System Analyst as well as a Computer programmer. They develop, design, document, create, analyze, test, and modify computer systems, and programs. | INR 4,00,000 |
| Web Developer | Website developers are entrusted with developing websites and website-based applications using a variety of programming languages. Website developers construct the layout of the web page, create user-engaging web pages, and can also write the content on the webpage. | INR 3,00,000 |
| Mobile App Developer | A Mobile Developer develops applications that can be used efficiently on the mobile. They create and test applications made using various tools and software. | INR 2,50,000 |
Salary post completing Data Structures Courses in India
Data Structures is a skill that every programmer learns. Software Engineers can have an added advantage if they know how to use/ implement Data Structures. Following are the job profiles a person who has done a Data Structures course can get.
According to payscale the average salary given to the various job roles, in the different cities and other factors are mentioned below:
Company Wise Salary
Different companies hire Programmers with Data Structures knowledge for different profiles at different pay packages. A person who has good knowledge of Data Structures can be offered roles of Software Developer, Programmer Analyst, Web Developer, Mobile App Developer, etc. Some of the best companies that offer jobs to programmers are listed below.
| Company | Average Salary |
|---|---|
| TCS | INR 4,22,000 |
| Accenture | INR 5,02,000 |
| HCL | INR 3,97,000 |
| Capgemini | INR 3,43,000 |
| Tech Mahindra | INR 3,98,000 |
| Infosys | INR 4,35,000 |
| Cognizant | INR 6,97,000 |
| CGI | INR 5,00,000 |
| Dell | INR 8,55,000 |
| Wipro | INR 3,93,000 |
City Wise Salary
Companies offer Salaries based on the location also. Some of the high-paying cities are Bengaluru, Pune, Mumbai, Delhi, Noida, Hyderabad, etc. Employees in these cities earn more than the national average of the country.
| City | Average Salary (INR) |
|---|---|
| Bangalore | INR 6,74,000 |
| Pune | INR 5,46,000 |
| Chennai | INR 5,09,000 |
| Hyderabad | INR 5,91,000 |
| Mumbai | INR 5,22,000 |
| Noida | INR 5,13,000 |
| Gurgaon | INR 6,95,000 |
| Delhi | INR 6,20,000 |
Data Structures Courses: FAQs
Ques: What are the employment sectors for programmers that use data Structures?
Ans: Programmers mostly work in the IT sector but can also work in Banking Sector, Defence Sector, Healthcare Sector, Government organizations, etc.
Ques: What are the characteristics of Data Structures?
Ans: Characteristics of data Structures are as follows:
- Correctness: Implementation of the interface should be correctly structured.
- The complexity of time: it should take as little as possible time to execute the operations.
- The complexity of Space: data Structures should use the memory as little as possible.
Ques: Where are these Data Structures used?
Ans: Data Structures are used in every aspect of computer science i.e., Graphics, Compiler Design, Artificial Intelligence, Operating systems, etc.
Ques: What are the prospects of a Programmer?
Ans: After completing a course in Computer Science a person can choose to be a software developer, Web Developer, Data Miners, Programmer Analyst, Mobile App Developer, etc.
Ques: Which books can I refer to for learning Data Structures from basics?
Ans: Following are the books you can refer to for learning Data Structures
- Algorithms Unlocked by Thomas H. Cormen
- Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles by Narasimha Karumanchi
- Advanced-Data Structures by Peter Brass
- Grokking Algorithms by Aditya Bhargava
- Problem-Solving with Algorithms and Data Structures Using Python by Bradley N. Mille
Ques: What is the duration of the various courses for BE/B?Tech. Computer Science?
Ans: The course duration of Bachelor of Engineering/ Technology is 4 years. During the tenure of these 4 years, the person will be taught from the basics of Data Structures to their uses.
Ques: How do I prepare for the Data Structures or Programmer job interview?
Ans: Keep track of the company’s performance in past years or months. Keep noticing the new products and services launched by the company and know the leaders behind the making of that company. Be resourceful of the company’s background. Have a good knowledge and understanding of the basic concepts taught during the course.
Ques: Can I do any other bachelor's degree along with the bachelor's degree in Computer Science Engineering?
Ans: Yes, there is an option of pursuing two courses at the same time but only one of the courses can be regular and the course has to be either online or distance education.
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