Data structures and algorithms are central concepts of computer science in general and software development in particular. Logging, transforming, and analyzing data are core skills in both real-world applications and coding interviews.
This course is a detailed guide for data structures and algorithms with specific applications in the Go programming language. You’ll learn basic data structures starting with arrays, stacks, queues, hash tables, and trees. You’ll then process the data with common techniques, including greedy algorithms and dynamic programming. At each step, you’ll review implementation details with consideration for time complexity, hands-on coding exercises, and thorough explanations of the principles at hand.
By the end of this course, you’ll have the confidence to solve any problem using the fundamentals of computer programming in Go.
Data structures and algorithms are central concepts of computer science in general and software development in particular. Loggi...Show More
WHAT YOU'LL LEARN
A strong understanding of fundamental data structures and algorithms in Go
The ability to implement common data structures in Go
The ability to process data using basic algorithms in Go
Familiarity with computer science fundamentals and Go
A strong understanding of fundamental data structures and algorithms in Go
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TAKEAWAY SKILLS
Content
1.
Getting Started
1 Lessons
Get familiar with pursuing a Go programming career with in-depth data structures.
2.
Time Complexity
9 Lessons
Discover the logic behind time complexity, asymptotic notations, and algorithm efficiency.
3.
Arrays
23 Lessons
Go hands-on with array manipulation, searching algorithms, and various efficiency challenges.
4.
Recursive Functions
14 Lessons
Grasp the fundamentals of recursive functions, including factorials, GCD, Fibonacci, permutations, and the Tower of Hanoi.
5.
Approaches to Solve Algorithm Design Problems
4 Lessons
Take a closer look at identifying constraints, generating ideas, assessing complexities, and thorough testing in algorithm design.
6.
Data Structures in Go
11 Lessons
Simplify complex data structures in Go, from ADTs to advanced collections like graphs.
7.
Sorting
17 Lessons
Build on sorting principles, techniques, and algorithms for various dataset scenarios.
8.
Stack
36 Lessons
Sharpen your skills in implementing and managing stacks, including operations, challenges, and expression conversions.
9.
Queue
11 Lessons
Unpack the core of queue data structures, their implementations, and problem-solving techniques.
10.
Tree
59 Lessons
Examine tree structures, types, and traversals, with practical challenges and efficient solutions.
11.
Binary Search Tree
25 Lessons
Grasp the fundamentals of Binary Search Trees, covering construction, insertion, deletion, and tree traversal.
Certificate of Completion
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Frequently Asked Questions
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