STEM Courses and Certifications

Career Certificate

Semiconductor Devices

621 ratings at Coursera

Explore semiconductor physics, pn junctions, and transistors. Gain deep understanding of electronic device fundamentals, from conduction mechanisms to performance analysis, preparing for advanced study in semiconductor technology.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

78 ratings at Coursera

Develop matrix algebra techniques, study determinants, and explore eigenvectors to analyze linear transformations. Apply concepts to Markov chains and Google PageRank algorithm.

• Coursera
• 14 hours 53 minutes
• Self-Paced
• Paid Course

American Museum of Natural History

Our Earth's Future

818 ratings at Coursera

Explore climate change science, evidence, and impacts. Learn from experts in climatology, oceanography, and anthropology. Gain confidence in understanding and discussing climate issues and their future implications.

• Coursera
• 8-9 hours
• Self-Paced
• Paid Course

Python Fundamentals for Designers

Learn Python programming through visual applications, creating dynamic designs and organic effects using Processing. Covers syntax, data types, control structures, and advanced concepts for computational design.

• Coursera
• 1 day 2 hours 6 minutes
• Self-Paced
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

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

Linear Regression Modeling for Health Data

Explore statistical modeling for health data, covering t-tests, linear regression, and multiple predictors. Gain practical skills through lectures, guided coding, and exercises.

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

The Economics of Agro-Food Value Chains

452 ratings at Coursera

Explore agro-food value chains, quality management, market research, pricing strategies, innovation, and sustainability. Learn from international experts about improving competitiveness in the food industry.

• Coursera
• 1 day 12 hours 38 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modeling: Applying Differentiation

60 ratings at Coursera

Apply differentiation to optimize functions, estimate complex equations, and solve real-world problems in data analysis, machine learning, and business through linear approximations and multivariable calculus techniques.

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

Calculus through Data & Modelling: Series and Integration

58 ratings at Coursera

Explore sequences, series, and integration in calculus. Apply these concepts to analyze real-world data, model phenomena, and critique policies across various disciplines.

• Coursera
• 8 hours 50 minutes
• Self-Paced
• Paid Course

The Worldview of Thomas Berry: The Flourishing of the Earth Community

139 ratings at Coursera

Explore Thomas Berry's vision for a flourishing Earth community through his insights on cosmology, ecology, and the role of humanity in shaping a sustainable future.

• Coursera
• 1 day 30 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Techniques of Integration

54 ratings at Coursera

Explore multivariable integration, vector functions, and numerical techniques. Extend calculus concepts to higher dimensions and real-world applications through data analysis and modeling.

• Coursera
• 4 hours 54 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Vector Calculus

51 ratings at Coursera

Explore vector calculus applications, including vector fields, line integrals, and Green's Theorem. Develop advanced mathematical skills for data analysis and real-world problem-solving in multivariable calculus.

• Coursera
• 4 hours 42 minutes
• Self-Paced
• Paid Course

Linear Algebra: Orthogonality and Diagonalization

49 ratings at Coursera

Explore orthogonality, diagonalization, and symmetric matrices, gaining skills applicable to AI and machine learning. Develop a strong foundation for advanced studies in data science and mathematics.

• Coursera
• 9 hours 15 minutes
• Self-Paced
• Paid Course

Applied Calculus with Python

46 ratings at Coursera

Develop essential calculus concepts and apply them to solve real-world challenges using Python, covering functions, derivatives, integrals, and their practical implementations.

• Coursera
• 23 hours 4 minutes
• Self-Paced
• Paid Course

Fundamentals of Scientific Research Under Uncertainty

43 ratings at Coursera

Explore scientific research fundamentals, uncertainty quantification, and Bayesian methods. Learn to formulate hypotheses, design research plans, and apply critical thinking skills across various fields.

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