What knowledge and skills can you gain from science courses on Coursera?

Science courses on Coursera cover a broad range of disciplines, offering insights and practical skills across various fields: Fundamental concepts and advanced topics in physical sciences, life sciences, and earth sciences. Techniques for scientific research, including experimental design, data collection, and data analysis. Application of mathematical and computational methods to solve scientific problems. Understanding of scientific principles and their applications in real-world scenarios. Skills in using laboratory equipment and conducting scientific experiments safely. Knowledge of the latest technological advancements and their impact on scientific research. Critical thinking and problem-solving skills developed through rigorous scientific inquiry.

Do I need prior knowledge in science to enroll in these courses?

Science courses on Coursera are designed to meet learners at various levels of expertise: Introductory courses provide a comprehensive overview for those new to the field, covering basic concepts and general knowledge. Intermediate courses offer more detailed explorations of specific areas within a scientific discipline, suitable for those with some foundational knowledge. Advanced courses are intended for learners with a strong background in science, focusing on complex theories and specialized research techniques.

What types of certifications and credentials can you pursue through science courses on Coursera?

Coursera offers several pathways for skill recognition in science: Professional certificates that can help you demonstrate your knowledge and skills in a specific scientific field. Specialized course certificates that document your engagement with focused topics within a broader scientific discipline. Degree programs and professional qualifications that prepare you for advanced roles in research, academia, or industry. These educational offerings are designed to enhance your professional profile and support your career development in the sciences.

What career opportunities can knowledge in science lead to?

Studying science on Coursera can open up diverse career paths in research, industry, and education: Research Scientist: Conduct studies to advance knowledge in a specific scientific area. Clinical Researcher: Develop and test medical treatments and technologies. Environmental Scientist: Assess and address environmental issues to inform policy and conservation efforts. Science Educator: Teach scientific concepts in schools or public outreach programs. Technical Consultant: Provide expertise to businesses and government agencies on scientific matters.

Top Science Courses - Learn Science Online

Explore the Science Course Catalog

Status: Free
The University of North Carolina at Chapel Hill
Epidemiology: The Basic Science of Public Health
Skills you'll gain: Epidemiology, Infectious Diseases, Research Design, Research Methodologies, Science and Research, Health Care, Medical Science and Research, Statistical Analysis, Risk Analysis
4.7
Rating, 4.7 out of 5 stars
4.9K reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Probability Theory: Foundation for Data Science
Skills you'll gain: Probability, Probability Distribution, Statistics, Bayesian Statistics, Data Science, Statistical Analysis, Statistical Inference, Descriptive Statistics
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
247 reviews
Intermediate · Course · 1 - 3 Months
University of Rochester
Introduction to Translational Science
Skills you'll gain: Clinical Research, Clinical Trials, Medical Science and Research, Health Systems, Health Care, Science and Research, Epidemiology, Patient Treatment, Policty Analysis, Research, and Development, Community Outreach
4.6
Rating, 4.6 out of 5 stars
119 reviews
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Linear Algebra for Machine Learning and Data Science
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming
4.6
Rating, 4.6 out of 5 stars
1.9K reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Introduction to R Programming for Data Science
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Computer Programming, Integrated Development Environments
4.5
Rating, 4.5 out of 5 stars
550 reviews
Beginner · Course · 1 - 3 Months
EIT Digital
Data Science for Business Innovation
Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Business Analytics, Machine Learning Methods, Data Analysis, Statistical Methods, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis
4.3
Rating, 4.3 out of 5 stars
261 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Expressway to Data Science: Essential Math
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Probability & Statistics, Derivatives, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
425 reviews
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
3D Data Visualization for Science Communication
Skills you'll gain: Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Data Presentation, Data Visualization Software, Spatial Data Analysis, Storyboarding, Computer Graphics, 3D Modeling, Graphical Tools, Color Theory
Beginner · Course · 1 - 3 Months
LearnQuest
Foundations of Computer Science
Skills you'll gain: Visual Basic (Programming Language), System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Program Development, Automation, Analysis, Cloud Computing, Artificial Intelligence
4.6
Rating, 4.6 out of 5 stars
108 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
How Science Turns Data Into Knowledge
Skills you'll gain: Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Science and Research, Research Design, Analytical Skills, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications, Research Methodologies
4.6
Rating, 4.6 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks
IBM
Statistics for Data Science with Python
Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Data Science, Matplotlib, Exploratory Data Analysis, Statistical Inference, Probability, Correlation Analysis, Pandas (Python Package), Jupyter
4.5
Rating, 4.5 out of 5 stars
428 reviews
Mixed · Course · 1 - 3 Months
Dartmouth College
Question Reality! Science, philosophy, a search for meaning
Skills you'll gain: Scientific Methods, Theoretical Computer Science, Logical Reasoning, Science and Research, Physics, Physical Science, Artificial Intelligence, Computational Thinking, Experimentation, Research, Simulations, Psychology, General Science and Research, Mechanics, Deductive Reasoning, Timelines
4.8
Rating, 4.8 out of 5 stars
30 reviews
Beginner · Specialization · 1 - 3 Months