Coursera Courses

Essential Dashboarding & Storytelling Techniques

Master essential Tableau techniques for creating dynamic dashboards that tell compelling data stories. Learn to compare values, visualize distributions, and implement interactive elements to guide viewers through your insights.

• Coursera
• 11 hours 43 minutes
• Self-Paced
• Paid Course

Solar Power Sensors

Explore the world of solar energy, from panel technology to power generation components, and discover how sensors maximize efficiency in solar farms.

• Coursera
• 1 day 3 hours 28 minutes
• Self-Paced
• Paid Course

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 59 minutes
• Self-Paced
• Paid Course

Resilience & Leadership: Concepts, Definitions, & Frameworks

Explore resilience concepts, frameworks, and applications in complex systems and critical infrastructure. Learn to assess threats, manage crises, and develop adaptive leadership skills for enhancing organizational resilience.

• Coursera
• 1 day 2 hours 9 minutes
• Self-Paced
• Paid Course

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

Equivalences, Abstraction, and Partial Order Reduction

Explore advanced techniques for reducing system model complexity through bisimulation, simulation relations, and partial order methods for efficient verification.

• Coursera
• 16 hours 51 minutes
• Self-Paced
• Paid Course

Real-Time Project for Embedded Systems

Hands-on project building a real-time machine vision application to synchronize Linux with an external clock. Emphasizes analysis, design, and implementation of multi-service real-time systems using POSIX threads.

• Coursera
• 2 days 3 hours 13 minutes
• Self-Paced
• Paid Course

Intelligent Agents and Search Algorithms

Explore intelligent agent architectures and master search algorithms including A*, minimax, and heuristic optimization for AI problem-solving and decision-making systems.

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

Designing Breakthrough Static Advertisements

Master the art of static advertising—posters, billboards, print ads, and more. Learn history, concepting techniques, and industry best practices to create standout, effective advertisements.

• Coursera
• 1 day 3 hours 48 minutes
• Self-Paced
• Paid Course

Designing Breakthrough Timed Commercials

Master the art of timed commercials—TV ads, radio spots, branded entertainment & social videos. Learn history, concepting techniques & industry best practices to create breakthrough advertisements.

• Coursera
• 1 day 3 hours 7 minutes
• Self-Paced
• Paid Course

Teaching Electricity and Magnetism with PhET Simulations

Discover effective teaching strategies using PhET's interactive simulations to make electricity and magnetism concepts engaging and accessible for students.

• Coursera
• 1 day 9 hours 42 minutes
• Self-Paced
• Paid Course

Basic Ideas in Computing Security

Discover fundamental cybersecurity concepts including vulnerability metrics, open source intelligence, authentication mechanisms, and Unix access control systems.

• Coursera
• 6 hours 59 minutes
• Self-Paced
• Paid Course

Color and Visual Associations

Explore color theory, perception, and design principles to understand how color influences branding, visual communication, and cultural associations in the digital age.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Computational Bayesian Statistics for Data Science

Master Bayesian statistical methods with computational algorithms like MAP estimation, MCMC, Gibbs sampling, and Metropolis-Hastings, while gaining hands-on Stan experience for real-world data science.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Introduction to Learning

Explore foundational AI learning concepts—supervised, unsupervised, and reinforcement learning—covering decision trees, neural networks, and Q-learning to build practical skills for real-world applications.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course