University of California, Davis Courses

Career Certificate

Computational Social Science

146 ratings

Digital technology changed both society and how we study it: use computational social science methods, social network analysis, computer simulations, and big data ethics to examine human behavior.

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

Computational Social Science Methods

151 ratings

Survey computational social science through four applications: digital footprints and development, machine learning and AI, social network analysis, and computer simulations of social emergence.

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

• Best of All Time

Computer Simulations

55 ratings

Grow artificial societies from the bottom up: study Schelling's segregation model and Sugarscape, then code your own agent-based model in NetLogo.

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

Computational Social Science Capstone Project

34 ratings

Scrape YouTube videos, visualize the resulting networks in Gephi, analyze comment sentiment and emotion with IBM Watson NLP, and grow an artificial society through agent-based simulation.

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

Fundamentals of GIS

12 ratings

Learn GIS fundamentals in ArcGIS: explore and subset spatial data, apply projections and geoprocessing tools, design maps with symbology and legends, and share data and metadata.

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

The Strategy of Content Marketing

8 ratings

Develop a content marketing strategy: craft content for B2B, B2C and eCommerce audiences, run content audits, and use SWOT and competitive analysis to stay ahead.

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

Big Data, Artificial Intelligence, and Ethics

6 ratings

Explore AI's history and applications, big data's opportunities and limits, and research ethics, using IBM Watson to profile personality from text and training Google's teachable machines.

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

Introduction to Google SEO

6 ratings

Learn how Google's algorithms rank content, apply SEO best practices to avoid penalties, analyze EEAT, YMYL, rich results and core web vitals, and build buyer personas.

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

Social Network Analysis

5 ratings

Make a science of social networks: formalize network data, visualize and analyze a network with software, and study how networks evolve and grow.

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

SQL for Data Science

5 ratings

Learn SQL from scratch: write SELECT queries with WHERE, ORDER BY and GROUP BY, use joins and subqueries, create tables, and modify strings and dates.

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

Materials Science: 10 Things Every Engineer Should Know

4535 ratings at Coursera

Structure leads to properties: explore point defects, dislocations, the "Big Four" mechanical properties, creep, fracture toughness, fatigue, phase diagrams, and semiconductors.

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

Equine Welfare and Management

405 ratings at Coursera

Assess a horse's vital signs, hydration and fitness, plan nutrition, housing and vaccination, and read equine behavior to build a welfare plan around the Five Freedoms.

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

Critical Thinking Skills for the Professional

1336 ratings at Coursera

Learn a memorable 7-step problem-solving model: reframe the goal-oriented question, brainstorm and weigh three options, recognize your triggers, then recommend a solution and engage feedback.

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

Emotional and Social Intelligence

1682 ratings at Coursera

Assess your emotional and social intelligence across its four quadrants: practice self-regulation and the pause, tell empathy from sympathy, and build workplace relationships through better listening.

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

GIS Data Formats, Design and Quality

2115 ratings at Coursera

Work with vector and raster data in ArcGIS: query and edit attribute tables, digitize features, design geodatabases and shapefiles, assess data quality, and publish web maps.

• Coursera
• 4 weeks, 7 hours a week
• Self-Paced
• Paid Course