Forensic Science Courses

Career Certificate

Statistics and Data Science (Methods Track)

Master different data science methods such as time series analysis and machine learning that will enable you to conduct rigorous analysis, inform decision-making processes, and contribute to evidence

• edX
• 66 weeks, 10-14 hours a week
• Self-Paced
• $1,350.00
• 5 courses

Career Certificate

Statistics and Data Science (Social Sciences Track)

Master the skills needed to extract meaningful insights from social, cultural, economic, and policy-related data and equip you to tackle complex real-world problems and contribute to cutting-edge adva

• edX
• 56 weeks, 10-14 hours a week
• Self-Paced
• $1,350.00
• 5 courses

Career Certificate

Statistics and Data Science (Time Series and Social Sciences Track)

Master the skills needed to analyze the impact of interventions on time series data and their application roles where understanding temporal dynamics is crucial for informed decision-making and policy

• edX
• 53 weeks, 10-14 hours a week
• Self-Paced
• $1,350.00
• 5 courses

Mathematics for Computer Science

Builds discrete mathematics foundations for computer science through proofs, graph theory, recurrences, counting, probability, and elementary cryptography.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Environmental Justice, Science and Technology

Trace the environmental justice movement's history and principles, examine capitalism, colonialism and racism in environmental inequality, and apply science and technology tools to case studies.

• MITx Online
• 9 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course

Science of Learning and Memory

Explore how the brain learns and remembers: apply classical and operant conditioning, compare memory systems, examine amnesia and other memory disorders, and test your own recall.

• MITx Online
• 3 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course

BES 141: Pedagogy of Science

12 ratings

Explore science pedagogy through inquiry, teaching methods, learning resources, assessment, and content-based methodologies for the secondary school science curriculum.

• Swayam
• 16 weeks
• Available until Nov 15, 2026
• Free Online 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

Communicating Data Science Results

142 ratings at Coursera

Design and critique information visualizations, weigh privacy and ethics in big data, and run reproducible cloud analyses with Elastic MapReduce and Pig on large datasets.

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

Code Free Data Science

217 ratings at Coursera

Build predictive models without writing code: use the KNIME Analytics Platform to manipulate and visualize data, apply classification and clustering, and evaluate results.

• 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

Biotech — From Science to Business

8 ratings

Bridge the lab and the market: assess the commercial potential of biotech discoveries, define a business model, and take the first steps toward founding a startup.

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

Global Warming I: The Science and Modeling of Climate Change

8 ratings

Learn the physics behind global warming: build simple energy-balance and greenhouse models, trace feedbacks and the carbon cycle, and weigh impacts and mitigation options.

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

Career Certificate

Introduction to Discrete Mathematics for Computer Science

3709 ratings at Coursera

Discrete math is the language of computer science: solve interactive puzzles, then learn combinatorics, probability, graph theory, number theory, cryptography, and the delivery problem through programming projects.

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

Computer Science: Algorithms, Theory, and Machines

796 ratings at Coursera

Trace computation from algorithms to circuits: study binary search and mergesort, stacks, queues and symbol tables, Turing machines and intractability, then build a CPU from logic gates.

• Coursera
• 11 weeks, 2 hours a week
• Self-Paced
• Free Online Course