Fundamentals of data science

Introduction to Data Science:   including data wrangling, visualization, and basic statistical methods.
Statistical Inference and Modeling: Advanced statistical techniques and their applications in data analysis.
Machine Learning: Overview of machine learning algorithms, model evaluation, and implementation using Python and R.
Data Systems: Understanding and managing large-scale data systems, including databases and big data technologies.
Capstone Project:
A practical project where participants apply the skills learned to solve a real-world data problem, often in collaboration with industry partners.

Biotechnology Certificate

The Biotechnology Professional Certificate Program covers the latest advancements in biotechnology and their applications in healthcare, agriculture, and industry.

Introduction to Biotechnology: Overview of biotechnology principles, techniques, and applications.
Genomics and Bioinformatics: Study Taiwan Phone Number of genomic data analysis and bioinformatics tools.
Bioprocessing and Manufacturing: Techniques for producing biotechnological products, including fermentation and cell culture.
Regulatory Affairs: Understanding the regulatory environment for biotechnological products and compliance requirements.
Capstone Project:
Participants work on a project involving the development or optimization of a biotechnological process or product, providing practical experience in the field.

Environmental Science Certificate
The Environmental Science Professional Certificate Program focuses on understanding and addressing environmental challenges through scientific principles and practices.

Taiwan Phone Number

Curriculum Core Courses

Environmental Science Fundamentals: Basics of environmental science, including ecosystems, pollution, and resource management.
Climate Change and Sustainability: Examination of climate change science, impacts, and strategies for sustainability.
Environmental Policy and Afghanistan Phone Number List Management: Study of environmental policies, regulations, and management practices.
Environmental Data Analysis: Techniques for analyzing environmental data and using it to inform policy and management decisions.
Capstone Project:
A project that involves analyzing an environmental issue and proposing a scientifically informed solution, often in partnership with environmental organizations.

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