STEM Courses and Certifications

Business Analytics with Excel: Intermediate to Advanced

Master advanced Excel optimization techniques including linear, integer, network, and nonlinear programming with VBA macros for sophisticated business decision-making and multi-objective analysis.

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

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• Self-Paced
• Paid Course

Random Processes

Master correlation functions, spectral analysis, and Monte Carlo simulation techniques for understanding and modeling random processes in engineering systems, with focus on practical applications and data analysis.

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

Honors Algebra 2: Series, Trigonometry, and Probability

Master sequences, series, trigonometry, and probability through real-world applications, from modeling population growth to analyzing periodic patterns and quantifying uncertainty.

• Coursera
• 18 hours 24 minutes
• Self-Paced
• Paid Course

Honors Algebra 2: Polynomials and Complex Numbers

Master polynomial functions, complex numbers, and advanced algebraic techniques to solve higher-order equations and analyze mathematical relationships in this rigorous algebra course.

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

Data Science Decisions in Time: Using Causal Information

Explore causal decision-making in data science, focusing on optimizing policies, pricing, and actions using causal structures and advanced analytical techniques for business, medical, and technological applications.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Honors Algebra 2: Algebraic, Exponential & Log Functions

Master advanced function families including exponential, logarithmic, radical, and inverse functions through theory and real-world applications like growth modeling and data analysis.

• Coursera
• 15 hours 2 minutes
• Self-Paced
• Paid Course

Career Certificate

Honors Algebra 2

Master advanced algebraic concepts including exponential, logarithmic, and polynomial functions while developing problem-solving skills for STEM applications and college readiness.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Genomic Data Science

Explore genomic data science through statistics, tools, and programming. Learn to analyze and interpret next-generation sequencing data using Python, R, and Bioconductor. Ideal for biologists seeking data science skills.

• Coursera
• 26 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 8 courses

Linear Regression in R for Public Health

530 ratings at Coursera

Aprenda a criar modelos estatísticos em R para analisar fatores que afetam doenças e resultados de saúde, focando em regressão linear e suas aplicações em saúde pública.

• Coursera
• 15 hours 2 minutes
• Self-Paced
• Paid Course

Causal Inference

107 ratings at Coursera

Rigorous mathematical exploration of causal inference methods, including randomization, regression, propensity scores, and matching. Ideal for understanding and applying causal relationships in various fields.

• Coursera
• 12 hours 26 minutes
• Self-Paced
• Paid Course

Qualcomm

5G for Everyone

736 ratings at Coursera

Gain a comprehensive understanding of 5G technology, its revolutionary impact on business, and how to leverage it for strategic advantage. Learn from Qualcomm engineers about networks, spectrum, MIMO, and security.

• Coursera
• 13 hours 41 minutes
• Self-Paced
• Paid Course

Embedded Software and Hardware Architecture

531 ratings at Coursera

Explore embedded architectures, write efficient firmware, and interface hardware using ARM Cortex-M4. Gain hands-on experience with microcontroller peripherals and develop a circular buffer data structure.

• Coursera
• 4 hours 21 minutes
• Self-Paced
• Paid Course

Embedded Hardware and Operating Systems

629 ratings at Coursera

Explore embedded hardware and operating systems for IoT applications. Learn about processing elements, kernels, and Contiki OS. Practice with Cooja simulator to design and simulate wireless sensor networks.

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

University at Buffalo;  SUNY

Advanced Manufacturing Enterprise

644 ratings at Coursera

Explore digital connectivity in manufacturing enterprises, learning about integrated product-process-value chains, data aggregation tools, and supply chain management for Industry 4.0 success.

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