Forensic Science Courses

CS50's Computer Science for Lawyers

2 ratings

A high-level computer science course helping lawyers understand technology decisions, assess their legal implications, and formulate technology-informed legal arguments.

• Independent
• 10 weeks
• Self-Paced
• Free Certificate

Data Science: Wrangling

34 ratings at edX

Learn to process and convert raw data into formats needed for analysis.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Science: Probability

64 ratings at edX

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Building a Data Science Team

14 ratings

Learn to recruit, organize, and manage a data science team: distinguish data scientist and data engineer roles, set qualifications, interview candidates, onboard hires, and empower growing teams.

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

English for Science, Technology, Engineering, and Mathematics

11 ratings

This course is designed for non-native English speakers who are interested in improving their English skills in the sciences.

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

Career Certificate

The Science of Cooking

1 rating

Harvard researchers, scientists, and top chefs explore food science, teaching how principles in biology, chemistry, physics, and engineering can illuminate basic cooking techniques.

• edX
• 46 weeks, 2-3 hours a week
• Self-Paced
• $672.00
• 3 courses

Quantitative Social Science Methods

1 rating

First course for incoming Harvard Government Department PhD students; also taken by students in other departments, and students elsewhere through the Harvard Extension School. Instructor: Gary King.

• YouTube
• 19 hours
• Self-Paced
• Free Video

Data Science: Productivity Tools

40 ratings at edX

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Computer Science for Artificial Intelligence

1 rating

Learn programming fundamentals and how to use machine learning in Python.

• edX
• 19 weeks, 6-30 hours a week
• Self-Paced
• $466.00
• 2 courses

Science & Cooking: From Haute Cuisine to Soft Matter Science (physics)

33 ratings at edX

Top chefs and Harvard researchers explore how traditional and modernist cooking techniques can illuminate basic principles in chemistry, physics, and engineering. Learn about elasticity, viscosity, ma

• edX
• 16 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Food Fermentation: The Science of Cooking with Microbes

99 ratings at edX

In Food Fermentation: The Science of Cooking with Microbes, explore the roles that microbes play in the production, preservation, and enhancement of diverse foods in a variety of culinary traditions,

• edX
• 14 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

CS50's AP® Computer Science Principles

1 rating

This is CS50 AP, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board's new A

• edX
• 36 weeks, 5-6 hours a week
• Self-Paced
• Free Certificate

• Best of All Time

Data Science: Inference and Modeling

51 ratings at edX

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Stanford Seminar - Secure Data Science on the Internet of Things

4 ratings

Learn about why it is important to secure the Internet Of Things(IoT) and its importance to Data Science

• YouTube
• 55 minutes
• Self-Paced
• Free Online Course

Data Science in Real Life

12 ratings

Data analysis in real life is messy: contrast ideal and actual practice to manage teams through experimental design, randomization, A/B testing, causal inference, data quality, and bias.

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