Algorithms and Data Structures
Loading...
Course
Algorithms and Data Structures
Master programming essentials with algorithms and data structures. Write efficient code, work with Python structures, and tackle real-world challenges using hashing, trees, and graphs.
Online Live Classes
Mentored
Beginner
The Algorithms and Data Structures course is designed to give learners a strong foundation in one of the most essential areas of computer science. Whether you are starting your programming journey or aiming to strengthen your technical problem-solving, this course equips you with the tools to write efficient, scalable, and reliable code.
In this course, youll begin with an introduction to algorithms and Big-O notation, developing an intuition for efficiency and why it matters in real-world applications. Youll explore arrays, lists, and dictionaries in Python, learning how they are used in data wrangling and model input handling. You'll then cover hashing and hash tables, the backbone of fast lookups and joins, before moving into trees and graphs, with applied examples such as recommendation systems and network analysis. Plus, youll apply all concepts in a hands-on dataset problem, selecting and implementing the right data structures to solve practical challenges.
By the end of this course, you will understand how to analyze and choose the best data structures for any problem. You will gain confidence in handling data efficiently. Plus, you will also sharpen the problem-solving mindset essential for coding interviews, data science, and software development.
Ready to take the next step in your programming journey? Enroll now!
This course comprises 5 purposely designed modules that take you on a carefully defined learning journey.
Our proven learning methodology blends the best that instructor-led training and self-paced learning have to offer. Leveraging the power of instructor feedback, mentor-supported hands-on practice, and additional home-based studying, you will build the deep technical and practical understanding todays employers are looking for.
Additionally, you will enjoy learning via an interactive online classroom environment where you will be able to participate and actively engage with your peers, instructors, and mentors. Plus, you will get the opportunity to earn recognized certifications which will help your resume and LinkedIn profile stand out.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the course, you will earn your Certificate of Completion.
You will be able to:
- Understand the concept of algorithms and evaluate efficiency using Big-O notation.
- Implement and manipulate arrays, lists, and dictionaries in Python for data handling.
- Apply hashing and hash tables to achieve fast data lookups, joins, and storage optimization.
- Work with trees and graphs to represent hierarchical and network-based data.
- Select and implement the most appropriate data structure to solve practical problems.
- IT professionals and software developers transitioning into data science, machine learning, or AI.
- Career switchers from non-technical backgrounds who want to bridge the gap with math essentials.
- Analytics or business professionals who need mathematical fluency to interpret data trends and work with technical teams.
- Basic familiarity with Python programming is recommended, as coding examples and exercises use Python.
- Logical thinking and an interest in problem-solving will help learners engage more effectively.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
Algorithms and data structures form the foundation of efficient programming. They determine how data is organized, processed, and retrieved. A strong understanding of data structures and algorithms helps you write optimized, scalable, and high-performance code used across software development, data analysis, and AI applications.
A dedicated data structures and algorithms course helps you move beyond syntax and understand how to design logic that performs efficiently. Youll learn practical concepts like sorting and searching algorithms, hashing, trees, and graphs all of which are essential for solving complex coding problems and performing well in technical interviews.
If youre exploring how to learn data structures and algorithms online, this instructor-led course provides an ideal mix of theory and practice. Youll engage with live coding demonstrations, quizzes, and applied projects using Python to develop a real understanding of algorithm design and data structure implementation.
The course covers algorithm design techniques, Big-O notation, arrays, dictionaries, hashing, trees, graphs, recursion, and backtracking techniques. Youll also explore dynamic programming for beginners and real-world applications such as recommendation systems and network data analysis.
The course uses Python as the primary language. Youll gain hands-on experience with Python data structures and algorithms, learning to implement lists, dictionaries, and hash tables, and to build efficient tree and graph solutions for real-world problems.
Yes. The course includes several hands-on coding labs and projects where youll build arrays, hash tables, trees, and graphs in Python. These exercises reinforce learning by letting you apply algorithm analysis and optimization techniques directly in your code.
While designed for beginners, the course gradually introduces advanced algorithms and data structures such as graph traversal, dynamic programming, and optimization problems. These modules prepare you for intermediate concepts and complex real-world applications.
This instructor-led data structures and algorithms course runs for approximately 6 hours, including live sessions, practice quizzes, and applied coding labs.
Absolutely. It emphasizes problem-solving and covers common interview questions for data structures and algorithms. By working through sorting, recursion, and graph problems, youll gain the confidence to handle coding interview preparation with DSA effectively.
Youll learn to evaluate algorithm efficiency using Big-O notation, implement arrays and hash tables, work with trees and graphs, and select the right structure for specific problems. Youll also strengthen your problem-solving skills essential for software developers, data scientists, and AI engineers.
Employers value professionals who can design efficient code and optimize performance. Mastering data structures and algorithms helps you qualify for roles in software development, data engineering, AI, and competitive programming, where algorithmic thinking is key to innovation.
Yes. The skills gained from advanced algorithms and data structures extend far beyond interviews. They are essential for building scalable applications, analyzing large datasets, optimizing machine learning models, and enhancing full-stack development expertise.
Course Offering
Type of certificate
Certificate of Completion
About this course
05 Modules
08 Skills
Includes
Discussion Space
Hands-On Labs
Learning Material
05 Knowledge Checks
01 Final Quiz
Create
Algorithm Efficiency Demo
Data Handling with Arrays and Dictionaries
Hash Table Implementation
Trees and Graphs Application
Exercises to explore
Big-O practice
Data structure operations
Hash table exercises
Trees and graphs
Applied dataset problem
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.