CS-DS-ALGO.AE1
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.
- Practice in 25 Hands-On Labs — nothing to install
- 19 Interactive Lessons and 95 topics mapped to the official exam objectives
- 177 Practice Test Questions
Intermediate Self-paced · 1 year access
25 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
19Interactive Lessons
95Topics
25LiveLab
177Practice Test Questions
154Flashcards
154Glossary of terms
01 / Skills you'll get
What you will be able to do
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.
- 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
Target Career Roles
- Programmer
- Data scientist
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
19 Interactive Lessons · 95 topics01 Introduction 5 topics +
- What You Will Learn
- Who Is This Course For?
- Self-Taught Success Stories
- Getting Started
- Sticking with It
02 What Is an Algorithm 12 topics · 1 LiveLab +
- 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
1 LiveLab in this lesson — see the labs panel →
03 Recursion 2 topics · 2 LiveLab +
- When to Use Recursion
- Challenge
2 LiveLab in this lesson — see the labs panel →
04 Search Algorithms 6 topics · 2 LiveLab +
- Linear Search
- When to Use a Linear Search
- Binary Search
- When to Use a Binary Search
- Searching for Characters
- Challenge
2 LiveLab in this lesson — see the labs panel →
05 Sorting Algorithms 8 topics · 2 LiveLab +
- 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
2 LiveLab in this lesson — see the labs panel →
06 String Algorithms 5 topics · 2 LiveLab +
- Anagram Detection
- Palindrome Detection
- Last Digit
- Caesar Cipher
- Challenge
2 LiveLab in this lesson — see the labs panel →
07 Math 7 topics · 3 LiveLab +
- Binary
- Bitwise Operators
- FizzBuzz
- Greatest Common Factor
- Euclid's Algorithm
- Primes
- Challenge
3 LiveLab in this lesson — see the labs panel →
08 Self-Taught Inspiration: Margaret Hamilton +
09 What Is a Data Structure 2 topics +
- Data Structure and its Types
- Challenge
10 Arrays 7 topics · 2 LiveLab +
- Array Performance
- Creating an Array
- Moving Zeros
- Combining Two Lists
- Finding the Duplicates in a List
- Finding the Intersection of Two Lists
- Challenge
2 LiveLab in this lesson — see the labs panel →
11 Linked Lists 6 topics · 2 LiveLab +
- Linked List Performance
- Create a Linked List
- Search a Linked List
- Removing a Node from a Linked List
- Finding a Linked List Cycle
- Challenges
2 LiveLab in this lesson — see the labs panel →
12 Stacks 6 topics · 2 LiveLab +
- When to Use Stacks
- Creating a Stack
- Using Stacks to Reverse Strings
- Min Stack
- Stacked Parentheses
- Challenges
2 LiveLab in this lesson — see the labs panel →
13 Queues 5 topics · 1 LiveLab +
- When to Use Queues
- Creating a Queue
- Python's Built-In Queue Class
- Create a Queue Using Two Stacks
- Challenge
1 LiveLab in this lesson — see the labs panel →
14 Hash Tables 4 topics · 2 LiveLab +
- When to Use Hash Tables
- Characters in a String
- Two Sum
- Challenge
2 LiveLab in this lesson — see the labs panel →
15 Binary Trees 6 topics · 2 LiveLab +
- When to Use Trees
- Creating a Binary Tree
- Breadth-First Tree Traversal
- More Tree Traversals
- Invert a Binary Tree
- Challenges
2 LiveLab in this lesson — see the labs panel →
16 Binary Heaps 4 topics · 1 LiveLab +
- When to Use Heaps
- Creating a Heap
- Connecting Ropes with Minimal Cost
- Challenge
1 LiveLab in this lesson — see the labs panel →
17 Graphs 4 topics · 1 LiveLab +
- When to Use Graphs
- Creating a Graph
- Dijkstra's Algorithm
- Challenge
1 LiveLab in this lesson — see the labs panel →
18 Self-Taught Inspiration: Elon Musk +
19 Next Steps 6 topics +
- What’s Next?
- Climbing the Freelance Ladder
- How to Get an Interview
- How to Prepare for a Technical Interview
- Additional Resources
- Final Thoughts
Hands-On Labs Our edge
25 LiveLabs- Iterating Through a List
- Printing the Numbers Recursively
- Calculating the Factorial of a Number Recursively
- Performing a Linear Search
- Performing a Binary Search
- Using a Bubble Sort Algorithm
- Using an Insertion Sort Algorithm
- Determining Anagrams
- Determining a Palindrome
- Implementing FizzBuzz
- Finding the Greatest Common Factor of Two Numbers
- Determining a Prime Number
- Locating All the Zeros to the End of a List
- Combining Two Lists
- Creating a Linked List
- Finding a Linked List Cycle
- Tracking Stack's Biggest Number
- Using Stacked Parentheses
- Creating a Queue Using Two Stacks
- Removing All Duplicate Words
- Counting All the Characters in a String
- Using a Breadth-First Search
- Inverting a Binary Tree
- Creating a Heap
- Implementing Dijkstra's Algorithm
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
How to learn DSA as a beginner?+
Learning 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.
What are the prerequisites for this Data Structures online course?+
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.
How will this self-taught Computer Science course benefit me?+
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.
Which is the best Data Structure and Algorithms course for beginners?+
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.
Where do I get the support as a DSA self-learner?+
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.
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Join the best DSA course for beginners
Upgrade your coding skills and set your career towards success.
- 1 year of full access
- 25 LiveLab included
- Certificate of completion