Computer Science Courses and Certifications

Codio

Java: Algorithms

Explore data structures and algorithms in Java, covering complexity analysis, design techniques, searching, and sorting through hands-on coding exercises and instant feedback.

• Coursera
• 12 hours 30 minutes
• Self-Paced
• Paid Course

POSTECH

Introduction to Blockchain

Explore blockchain fundamentals, cryptocurrencies, and real-world applications. Learn about Bitcoin, Ethereum, consensus algorithms, and emerging trends in decentralized finance and crypto economics.

• Coursera
• 8 hours 39 minutes
• Self-Paced
• Paid Course

Machine Learning

Master Python-based machine learning from fundamentals to deep learning, covering scikit-learn, TensorFlow, neural networks, and real-world applications with text and image data.

• Coursera
• 1 day 12 hours 2 minutes
• Self-Paced
• Paid Course

Using R for Regression and Machine Learning in Investment

Learn regression and machine learning techniques for investment analysis using R, covering backtesting, risk assessment, and factor models to enhance decision-making in financial markets.

• Coursera
• 17 hours 27 minutes
• Self-Paced
• Paid Course

Healthcare Information Design and Visualizations

Explore data visualization techniques for effective business decision-making. Learn to collect, process, and present data insights through static and interactive displays, emphasizing clear communication and ethical considerations.

• Coursera
• 20 hours 23 minutes
• Self-Paced
• Paid Course

Clemson University

Applied Data Science

Discover how to extract knowledge from complex data sets using tools from computer science, statistics, visualization, and social sciences, illustrated with real-world case studies.

• Coursera
• 20 hours 52 minutes
• Self-Paced
• Paid Course

Recommender Systems

Explore collaborative filtering, deep learning, and advanced concepts in recommender systems. Gain practical skills for building personalized recommendation algorithms.

• Coursera
• 16 hours 37 minutes
• Self-Paced
• Paid Course

Machine Learning for Healthcare Professionals

Explore data mining in healthcare, from theoretical foundations to practical applications, focusing on real-world problem-solving using contemporary software and basic programming skills.

• Coursera
• 12 hours 8 minutes
• Self-Paced
• Paid Course

Introduction to Domain Models

Explore domain modeling, object-oriented paradigm, and visual programming techniques to design and implement software solutions for real-world business problems.

• Coursera
• 9 hours 52 minutes
• Self-Paced
• Paid Course

Designing Engaging Dashboards for Healthcare Analytics

Explore data visualization techniques for healthcare analytics, focusing on dashboard design, storytelling, and effective communication to support informed decision-making.

• Coursera
• 16 hours 16 minutes
• Self-Paced
• Paid Course

UI/UX Design Principles

Master essential UI/UX principles, from wireframing to prototyping, while learning to create accessible, responsive designs and leverage Microsoft Copilot for enhanced CSS workflows.

• Coursera
• 1 day 5 hours 1 minute
• Self-Paced
• Paid Course

Data Management for Analytics Part 1

Master database fundamentals, ER modeling, UML, relational design, and normalization to build robust data management systems supporting analytics and AI applications.

• Coursera
• 9 hours 6 minutes
• Self-Paced
• Paid Course

Program Structure and Algorithms Part 1

Discover essential algorithmic principles, complexity analysis, and problem-solving techniques including sorting, graph theory, and optimization strategies for computational challenges.

• Coursera
• 1 day 8 hours 34 minutes
• Self-Paced
• Paid Course

Data Structures & Algos: Software Development Skills

Master fundamental algorithms and data structures through hands-on exploration of computational problem-solving, complexity analysis, stable matching, sorting techniques, and algorithm optimization for real-world applications.

• Coursera
• 18 hours 48 minutes
• Self-Paced
• Paid Course

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course