University of Pittsburgh Courses

Disaster Preparedness

14 ratings

Build a personal disaster preparedness plan: work through the disaster cycle, food, water, shelter and light supplies, fire-building, water purification, resource-limited first aid, and psychological first aid.

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

Clinical Terminology for International and U.S. Students

11 ratings

Decode abbreviations and complex terms used on U.S. hospital units, covering vital signs, emergency and medication abbreviations, disease acronyms, lab tests, and video-simulated bedside conversations.

• Coursera
• 6 weeks, 6 hours a week
• Self-Paced
• Free Online Course

Disability Awareness and Support

335 ratings at Coursera

Support students with disabilities in higher education: navigate accommodation processes, disability legislation, assistive technologies, and universal design principles for accessible instruction and course materials.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Gender and Sexuality: Diversity and Inclusion in the Workplace

1073 ratings at Coursera

We will use a range of interdisciplinary concepts, tools, and methods to understand and analyze how identity shapes our experiences in culture and in the workplace.

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

Introduction to Dental Terminology

19 ratings at Coursera

Learn the clinical and non-clinical vocabulary of dentistry, from oral structures and radiography to endodontics, prosthodontics, periodontics, oral surgery, orthodontics, and practice administration.

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

Career Certificate

Mathematical Foundations for Data Science and Analytics

16 ratings at Coursera

Master vector and matrix operations, eigen calculations, derivatives, integrals, probability distributions and Bayes' theorem, then fit OLS, logistic and Lasso regressions in Python with NumPy.

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

Linear Algebra and Regression Fundamentals for Data Science

11 ratings at Coursera

Perform vector arithmetic and matrix operations, compute eigenvectors and eigenvalues with NumPy, solve linear systems by backsolving and inversion, and fit OLS regressions in Python.

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

Career Certificate

Cloud Computing for Data Science

8 ratings at Coursera

Build scalable cloud data solutions: cloud architecture and service models, RESTful APIs, containerization and virtualization, and big data pipelines with Hadoop and Spark.

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

Career Certificate

Data Visualization: Fundamentals to Interactive Storytelling

6 ratings at Coursera

Build data visualizations in Python and Tableau: plot with Matplotlib, Seaborn, and Folium, design interactive dashboards, and craft network, time-series, geospatial, and narrative stories.

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

Law You Can Use

Work through standalone modules on the U.S. legal system, HIPAA compliance programs, ADA and human resource law, corporate compliance ethics, and cross-border dispute resolution.

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

Mainstream Smart Home Technology as Assistive Technology

Assess client needs and select, customize, and train on smart home technology — Alexa, Google Home, Z-Wave, Zigbee, Matter — as assistive technology for older adults and people with disabilities

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

Data Visualization Fundamentals in Python

Build basic and advanced charts in Python with Matplotlib and Seaborn, applying visualization principles, human perception, plot customization, and interactive visualizations.

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

Interactive, Geospatial & Narrative Data Visualization

Build interactive dashboards, choropleth maps, and text visualizations in Python and Tableau with Matplotlib, Seaborn, and Folium, and craft data stories using Tufte's principles.

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

Probability Theory and Regression for Predictive Analytics

Learn conditional probability, Bayes' Theorem, and Bernoulli, Poisson and Normal distributions, then fit OLS, Lasso and logistic regression models in Python.

• Coursera
• 2 weeks, 6 hours a week
• Self-Paced
• Paid Course

Statistics and Calculus Methods for Data Analysis

Calculate expected values and work with the normal distribution, take derivatives for optimization, and solve complex integrals, applying each concept in Python.

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