CERTIFICATE COURSE IN DATA STRUCTURE

Duration: 3 Months

Course Overview:-

Data Structures (DSA) 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.

Benefits:-

·         As you know companies nowadays look only for skills while hiring. If you have the required skills, you'll be hired immediately. And DSA is the most-demanding skill you should have. MNCs or top companies look to shortlist resumes if you've DSA mentioned as one of the skills. Skills in DSA are a great addition to your resume.

·         While building projects, be they enterprise-level or beginner-level, you'll need DSA to implement them. DSA can help you in solving real-world problems. If you start learning DSA now, you'll be able to come up with efficient and optimized solutions to real-world problems. Understanding data structures and algorithms enables you to understand the problem statements on a deeper level and create logical solutions to solve them.

·         Full-stack developers/web developers are the highest-paid professionals in the current IT/tech industry. To become a full-stack developer, you need to have complete knowledge of DSA. As you know, data structures and algorithms are the most required skill for back-end developers, hence to build the entire system, DSA is a must.

Eligibility Criteria:

·        You must have completed secondary education, i.e. 10+2 or equivalent (preferably in the any stream) from any recognized board.

Jobs Profile:-

·         Software Engineer

·         Programmer Analyst

·         Web Developer

·        Mobile App Developer

Course Syllabus

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.