Forensic Science Courses

AP® Environmental Science - Part 1: The Living World

The first course in a comprehensive series designed to prepare you for the AP Environmental Science exam, focusing on the living world and evolution.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Programming for Data Science

17 ratings at Coursera

Learn Python basics for data science: variables, data types, control structures, and functions. Practice in Jupyter Notebook to build a foundation for programming and data analysis.

• Coursera
• 8 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

An Introduction to Logic for Computer Science

Hone your computer science skills and gain practical applications for solving complex problems with logic.

• FutureLearn
• 2 weeks, 3 hours a week
• On-Demand
• Free Certificate

AP® Environmental Science - Part 3: Pollution and Resources

The third course in a four part, comprehensive series designed to prepare you for the AP Environmental Science exam, focusing on pollution and resources.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

AP® Environmental Science - Part 4: Exam Review

The final course in a four part, comprehensive series designed to prepare you for the AP Environmental Science exam.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Archaeology : Archaeology as Science

Explore scientific methods used in archaeology, from excavation to remote sensing, to uncover past behaviors and settlement patterns. Learn about living spaces, environments, diets, landscapes, and dating techniques.

• Coursera
• 18 hours 16 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science for Executives

1 review

Gain insights into data science tools and their applications in various industries. Learn statistics, machine learning, and emerging technologies to enhance decision-making and career prospects.

• edX
• 15 weeks, 7-10 hours a week
• On-Demand
• $297.00
• 3 courses

理论计算机科学基础 | Introduction to Theoretical Computer Science

本课程内容涵盖了形式语言与自动机理论、可计算性理论、计算复杂性理论等最基本的那部分内容。 This course covers the most basic parts of formal language and automata theory, computability theory and computational complexity theory.

• edX
• 4 weeks
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science: Foundations using R

Master foundational data science skills: R programming, data manipulation, visualization, and reproducible research techniques for effective analysis and communication.

• Coursera
• 22 weeks, 8 hours a week
• On-Demand
• Paid Course
• 5 courses

Being a researcher (in Information Science and Technology)

1 review

Explore research methodology, pragmatics, and ethics in Information Science and Technology. Develop essential skills for conducting and evaluating research, publishing findings, and advancing in the field.

• Polimi OPEN KNOWLEDGE
• On-Demand
• Free Online Course

Introduction to Translational Science

119 ratings at Coursera

Explore the process of transforming lab discoveries into healthcare practices, overcoming obstacles in medical research, and accelerating the development of new treatments for patients.

• Coursera
• 10 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

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
• On-Demand
• Paid Course
• 8 courses

Microcredential

Data Science: Statistics and Machine Learning

Comprehensive data science program covering statistical inference, regression, machine learning, and data product development, culminating in a real-world capstone project.

• Coursera
• 26 weeks, 6 hours a week
• On-Demand
• Paid Course
• 5 courses

Microcredential

Advanced Statistics for Data Science

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

• Coursera
• 22 weeks, 2 hours a week
• On-Demand
• Paid Course
• 4 courses

Microcredential

Tidyverse Skills for Data Science in R

Master data science with R's Tidyverse: import, wrangle, visualize, and model data using powerful and scalable tools. Gain practical skills for the entire data science project lifecycle.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses