What Does a Data Management Specialist Do?
October 1, 2024
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Master Algorithms for Real-World Applications. Build, optimize, and master algorithms and data structures with hands-on projects and real-world coding challenges.
Instructor: Packt - Course Instructors
Included with
Recommended experience
Intermediate level
Ideal for those with basic programming knowledge. No advanced prerequisites required. Suitable for aspiring software engineers and coders.
Recommended experience
Intermediate level
Ideal for those with basic programming knowledge. No advanced prerequisites required. Suitable for aspiring software engineers and coders.
Master Big O notation, recursion, and complexity analysis for algorithm efficiency.
Implement core data structures like arrays, linked lists, stacks, queues, and trees.
Solve real-world problems using advanced sorting, graph, and tree algorithms.
Gain confidence in coding interviews with hands-on exercises and challenges.
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January 2025
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Dive into the ultimate guide for mastering data structures and algorithms. This course equips you with foundational to advanced knowledge, making you proficient in critical concepts like Big O notation, recursion, sorting algorithms, and data structure implementation. Learn to analyze and optimize code while building a strong problem-solving mindset essential for coding interviews and real-world challenges.
The course begins with an introduction to Big O notation and complexity analysis, ensuring you grasp how efficiency shapes algorithms. Progress through the memory model, arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs. Each topic is broken down with clear explanations and practical exercises, making challenging concepts approachable.
Throughout the course, coding challenges and projects reinforce learning and boost your confidence in algorithmic thinking. Examples like recursion and binary tree implementations enhance your problem-solving skills while preparing you for technical interviews
This course is ideal for aspiring software engineers, data scientists, and coding enthusiasts. A basic understanding of programming is recommended, but no advanced skills are required. Whether you're a beginner or looking to refine your knowledge, this course is tailored to elevate your skills and confidence in algorithms and data structures.
Applied Learning Project
In this course, you'll work on practical projects that solidify your understanding of algorithms and data structures. Implement linked lists, stacks, queues, and hash tables. Tackle sorting challenges like merge sort and quick sort. Explore graph traversal techniques and tree algorithms to solve real-world problems. Each project reinforces theoretical concepts with hands-on coding, preparing you for industry scenarios and technical interviews. You'll not only write efficient code but also gain insights into optimizing solutions for scalability and performance. These projects ensure you're ready to tackle coding challenges with confidence.
Master Big O notation to analyze time and space complexity effectively
Implement and optimize key data structures like trees, heaps, and tries
Solve real-world problems using advanced sorting and searching algorithms
Build a strong foundation for technical interviews with hands-on coding
Master recursion concepts, including call stacks and tree recursion
Implement and analyze searching algorithms like linear and binary search
Develop sorting algorithms and assess their performance
Execute tree and graph traversal techniques for complex data structures
Master key techniques for implementing data structures like stacks, queues, and linked lists
Develop problem-solving strategies for coding interview challenges
Construct and manipulate binary trees and binary search trees with ease
Solve real-world string problems, including reverse strings and palindromic substrings
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
Financial aid available,