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CCNA 200-301 Pearson uCertify Network Simulator
Cisco 200-301-SIMULATOR.AB1
CCNA 200-301 Pearson uCertify Network Simulator
ISBN: 978-1-61691-837-8Cisco 200-301-SIMULATOR.AB1
The Beginner's Guide to Data Structures & Algorithms
As the ultimate learning manual for self-taught programmers, it bridges the gap between programming and computer science fundamentals.
(CS-DS-ALGO.AE1) / ISBN : 978-1-64459-429-2This course includes
Lessons
TestPrep
Lab
AI Tutor (Add-on)
About This Course
This beginner-friendly course has been especially designed to strengthen the computer science fundamentals of self-taught programmers. The Data Structure and Algorithms course provides a comprehensive learning path for aspiring programmers who can build on their programming skills to create large-scale and efficient software applications. Explore the core concepts of data structure including arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphs. Study in-depth the underlying principles, operations, and trade-offs of the programming world. Learn to implement problem-solving strategies through algorithms by executing linear search, binary search, and various sorting techniques. Understand how to evaluate an algorithm’s performance by using time complexity and space complexity. By the end of this Data Structure and Algorithm course, you’ll have a strong grasp on computer science for handling complex programming challenges.
Skills You’ll Get
- Deep understanding of data structure fundamentals
- Master algorithm techniques like searching, sorting, and problem-solving
- Manage complex problems with step-by-step processes
- Optimize code’s performance with time and space complexities
- Learn from real-world programming challenges
- Understanding advanced computer science fundamentals
- Enhanced readiness for technical round interviews
- Ability to independently explore new programming concepts
- Writing effective and efficient codes
- Ability to identify and fix coding issues
Get the support you need. Enroll in our Instructor-Led Course.
Interactive Lessons
19+ Interactive Lessons | 104+ Exercises | 100+ Quizzes | 154+ Flashcards | 154+ Glossary of terms
Gamified TestPrep
52+ Pre Assessment Questions | 52+ Post Assessment Questions |
1
Introduction
- What You Will Learn
- Who Is This Course For?
- Self-Taught Success Stories
- Getting Started
- Sticking with It
2
What Is an Algorithm
- Analyzing Algorithms
- Constant Time
- Logarithmic Time
- Linear Time
- Log-Linear Time
- Quadratic Time
- Cubic Time
- Exponential Time
- Best-Case vs. Worst-Case Complexity
- Space Complexity
- Why Is This Important?
- Challenge
3
Recursion
- When to Use Recursion
- Challenge
4
Search Algorithms
- Linear Search
- When to Use a Linear Search
- Binary Search
- When to Use a Binary Search
- Searching for Characters
- Challenge
5
Sorting Algorithms
- Bubble Sort
- When to Use Bubble Sort
- Insertion Sort
- When to Use Insertion Sort
- Merge Sort
- When to Use Merge Sort
- Sorting Algorithms in Python
- Challenge
6
String Algorithms
- Anagram Detection
- Palindrome Detection
- Last Digit
- Caesar Cipher
- Challenge
7
Math
- Binary
- Bitwise Operators
- FizzBuzz
- Greatest Common Factor
- Euclid's Algorithm
- Primes
- Challenge
8
Self-Taught Inspiration: Margaret Hamilton
9
What Is a Data Structure
- Data Structure and its Types
- Challenge
10
Arrays
- Array Performance
- Creating an Array
- Moving Zeros
- Combining Two Lists
- Finding the Duplicates in a List
- Finding the Intersection of Two Lists
- Challenge
11
Linked Lists
- Linked List Performance
- Create a Linked List
- Search a Linked List
- Removing a Node from a Linked List
- Finding a Linked List Cycle
- Challenges
12
Stacks
- When to Use Stacks
- Creating a Stack
- Using Stacks to Reverse Strings
- Min Stack
- Stacked Parentheses
- Challenges
13
Queues
- When to Use Queues
- Creating a Queue
- Python's Built-In Queue Class
- Create a Queue Using Two Stacks
- Challenge
14
Hash Tables
- When to Use Hash Tables
- Characters in a String
- Two Sum
- Challenge
15
Binary Trees
- When to Use Trees
- Creating a Binary Tree
- Breadth-First Tree Traversal
- More Tree Traversals
- Invert a Binary Tree
- Challenges
16
Binary Heaps
- When to Use Heaps
- Creating a Heap
- Connecting Ropes with Minimal Cost
- Challenge
17
Graphs
- When to Use Graphs
- Creating a Graph
- Dijkstra's Algorithm
- Challenge
18
Self-Taught Inspiration: Elon Musk
19
Next Steps
- What’s Next?
- Climbing the Freelance Ladder
- How to Get an Interview
- How to Prepare for a Technical Interview
- Additional Resources
- Final Thoughts
What Is an Algorithm
- Iterating Through a List
Recursion
- Printing the Numbers Recursively
- Calculating the Factorial of a Number Recursively
Search Algorithms
- Performing a Linear Search
- Performing a Binary Search
Sorting Algorithms
- Using a Bubble Sort Algorithm
- Using an Insertion Sort Algorithm
String Algorithms
- Determining Anagrams
- Determining a Palindrome
Math
- Implementing FizzBuzz
- Finding the Greatest Common Factor of Two Numbers
- Determining a Prime Number
Arrays
- Locating All the Zeros to the End of a List
- Combining Two Lists
Linked Lists
- Creating a Linked List
- Finding a Linked List Cycle
Stacks
- Tracking Stack's Biggest Number
- Using Stacked Parentheses
Queues
- Creating a Queue Using Two Stacks
Hash Tables
- Removing All Duplicate Words
- Counting All the Characters in a String
Binary Trees
- Using a Breadth-First Search
- Inverting a Binary Tree
Binary Heaps
- Creating a Heap
Graphs
- Implementing Dijkstra's Algorithm
Any questions?Check out the FAQs
Still have unanswered questions and need to get in touch?
Contact Us NowLearning Data Structure & Algorithms from scratch is a daunting task especially for someone who doesn’t have any programming background. Start with mastering a programming language (Python, Java, C++). Then you’ll have to understand the algorithm concepts and how it works. Consistent practice of complex programming and coding issues will help you build your own projects. To facilitate this learning journey, uCertify provides a brilliant online platform for all learners.
None. Whether you are a beginner in the field of coding or you want to reinforce your understanding of computer science or you are preparing for a technical round coding interview, this course is suitable for you. However, some bit of experience with programming would help understand the topics better.
It will improve your problem-solving skills and enhance your C++ programming skills. With a solid foundation in DSA you’ll be able to crack the coding job interviews with ease and confidently place yourself in a high-paid job.
This depends on your learning style, budget, and time constraints. However, while choosing the best course for beginners, we suggest you pick an online course like this Data Structure and Algorithm course.
With uCertify, you'll have access to various support options throughout the course, such as 24/7 support team, downloadables, hands-on labs, gamified testpreps, video tutorials, and more.
