Become a successful software engineer by mastering the Data Structures & Algorithms.? For someone who is intrigued by this realm and its working and wants to learn the same through certifications, this list article is perfect for you.
Introduction to Data Structure and Algorithms
The method of organizing data (sequence of numbers or tables) in a virtual system is called a Data structure. The sequence of steps executed by a computer takes an input and transforms it into a target output, and it is called an Algorithm. There is a need to learn Data Structures and Algorithms if you are in the software engineering field. If you know Data Structures and Algorithms, you can write the correct codes. You can keep data in a structured and organized format and easily find it whenever needed. You can troubleshoot the codes after knowing the Data Structures and Algorithms.?
We have constructed this list article which consists of the top intermediate level skills required, course providers and intermediate-level data structure and algorithms courses. Read along to find out how you can start your journey in this domain and choose a course that is best suited for you.
Top Advanced skills for Data Structure and Algorithms
The important skills required for data structure and algorithms are as under-
Math & Logic
To excel in data structures and algorithms, you need to have a know-how of mathematical concepts such as linear equation, set theory, finite state machines, bitwise operations, pigeonhole principle etc.?
Computer Architecture
For algorithms, you need to know how data is represented in a computer, the fundamentals of digital logic design, computer arithmetic and cache design. Learning about C and Assembly programming will prove beneficial for data structures.
Top advanced level course providers for Data Structure and Algorithms
There are various learning platforms available for data structure and algorithms. The top course providers are listed as under-? ??
- Coursera: It is a US based online course provider that works with various universities to come up with online courses, certifications and degrees in varied subjects
- Dataquest: Its curriculum is built around interesting, real-world projects, so you learn how to apply skills to real problems. But they also structure the lessons so you get immediate feedback, just like in a classroom, and provide overall paths so you know you’re learning the right topic.
- Udacity: It is an American for-profit educational organization that offers massive open online courses. While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.
Top advance level courses available for Data Structures and Algorithms
We have prepared a list of the top data structure and algorithms courses available for advanced level learners that you can refer to-?
- This course will teach you data structures and algorithms through solving over 80 practice problems. You will be able to assess and evaluate different data structures and algorithms and create a solution that is based on your design choices by the end of each course.
- Instructors- The course instructors Brynn is a former udacity employee who worked as lead data analyst at udacity before joining facebook as data engineer, Abe is a content developer at udacity and previously taught university courses in psychology and computer science, and Kyle is a content developer who has developed projects for a variety of udacity's nanodegree programs, such as self-driving car engineer, robotics, and blockchain.
- Credibility- The course provides real-world projects from industry experts and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
- Pedagogy and career impact- This self paced 4 months long course offers a flexible learning program, career services and technical mentor support for interactive learning.?
- The course includes personalized feedback, unlimited submissions and feedback loops, practical tips and industry best practices and additional suggested resources to improve.
- Practicality- Practical practice with over 100 data structures, algorithm exercises, and technical mentor support are available to prepare you for interviews or on-the-job situations.
- Pricing- You can join this course for:
- This course will cover the basics of data structures and algorithms, with a particular focus on data science applications
- Instructor- The course instructor, Dr. Junhui DENG is a professor of Computer Science and Technology at Tsinghua University.
- Hands on approach- This Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate.?
- When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
- Pedagogy- The course is of 3 months duration and provides Shareable Specialization and Course Certificates, Self-Paced Learning Option, Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback and Graded Programming Assignments.
- Credibility- These courses can be used to earn academic credit through the Master of Science in Data Science (MSDS) degree at CU Boulder. The MS-DS degree is an interdisciplinary program that brings together faculty members from CU Boulder's departments in Applied Mathematics, Computer Science and Information Science.?
- Pricing- You can join this course for:
- These data fetches are also called I/O operations and need to be taken into account during the design of an algorithm. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems.?
- Instructor- The course instructor, Mark de Berg received an MSc in computer science from Utrecht University and he received a PhD from the same university. Currently he is a full professor at the TU Eindhoven. His main research interest is in algorithms and data structures, in particular for spatial data.
- Pedagogy- This self paced course is of 10 hours duration and it offers hands-on training, instructor-moderated discussions.
- The course can be completed with flexible deadlines and it can be learned at your own pace, move between multiple courses, or switch to a different course.
- Pricing- You can join this course for:
- The course covers calculus which allows for precise predictions about large combinatorial systems. This course also covers real asymptotics, generating functions, and the use of the symbolic method to analyze algorithms, basic structures, permutations and strings.?
- Instructor- The course instructor, Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton, where he was the founding chair of the Department of Computer Science. He is a member of the board of directors of Adobe Systems.?
- Pedagogy- The course is offered by Princeton university,? can be completed with flexible deadlines, can be learned at your own pace, move between multiple courses, or switch to a different course.
- This self paced course is of 10 hours duration and it offers hands-on training, instructor-moderated discussions.
- Pricing- You can join this course for free.
- This course is a continuation from Learn Algorithms & Data Structures. Advanced Algorithms and Data Structures will allow you to practice skills that are common in advanced college courses and intensive interview questions. This advanced course will help you to improve your problem-solving skills, and make you more job-ready.
- Pedagogy- This self paced course is 10 hours long and it provides hands-on training, instructor-moderated discussions and post course interactions.
- Career? impact- The course will enhance your skill set and boost your hireability through innovative, independent learning.
- Pricing- You can join this course for free of cost.
Final Thoughts
Mastering Data Structures & Algorithms is pivotal for success in software engineering. Understanding data organization and algorithmic sequences enables efficient coding, troubleshooting, and data management. Courses from platforms like Coursera, Dataquest, and Udacity offer comprehensive training. For advanced learners, courses such as "Data Structures and Algorithms" and "Data Structures and Algorithms Specialization" provide hands-on projects and credible instruction. Similarly, "I/O-efficient algorithms" and "Analysis of Algorithms" delve into specialized topics, while resources like "Learn Advanced Algorithms and Data Structures with Python" offer valuable skills at no cost. Start your journey today for a fulfilling career in software engineering.
