营养科学课程
营养科学课程可以帮助您了解宏量营养素、微量营养素、膳食指南以及食物对健康的影响。您可以培养分析营养数据、制定膳食计划和了解食品标签的技能。许多课程都会介绍膳食分析软件和营养评估方法等工具，帮助您将所学知识应用于实际环境中，无论是临床营养、公共卫生还是个人健康。
热门营养科学课程和认证
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Programming Principles, Databases, Game Design, Development Environment, Data Science, Web Applications, Animation and Game Design, Application Frameworks, Scripting, Scripting Languages, Software Design Patterns, Functional Design, Data Validation
状态：预览The University of Chicago
您将获得的技能: 物理科学, 减缓气候变化, 适应气候变化, 环境, 能源与公用事业, 数学建模, 物理学, 热管理, 模拟, 可持续发展, 环境科学, 化学
状态：免费试用您将获得的技能: SQL, Database Design, Database Management, Data Analysis, Database Architecture and Administration, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Data Integration, AI Enablement, Git (Version Control System), Performance Tuning
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
状态：预览Erasmus University Rotterdam
您将获得的技能: 数字通信, 内容创作, 数字扫盲, 卫生政策, 威胁检测, 推动参与, 促进讨论, 新闻学, 公共事务, 政策制定, 媒体与传播, 技术交流, 研究, 社会科学, 数据共享, 科学方法
状态：免费试用您将获得的技能: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Data Analysis, Jupyter, Programming Principles, Data Cleansing, Exploratory Data Analysis, Scripting
状态：预览University of Michigan
您将获得的技能: Health Policy, Substance Abuse, Lawsuits, Litigation and Civil Justice, Epidemiology, Health Disparities, Policy Analysis, Public Health, Policy Development, Law, Regulation, and Compliance, Trend Analysis, Advocacy
状态：免费试用Johns Hopkins University
您将获得的技能: 概率与统计, 统计建模, 应用数学, 线性代数, 统计分析, 概率分布, R 语言程序设计（中文版）, 数学建模, 回归分析, 统计推理, 数据科学
状态：预览University of Lausanne
您将获得的技能: Statistical Methods, Criminal Investigation and Forensics, Court Systems, Report Writing, Probability & Statistics, Technical Communication, Scientific Methods, Analysis, Case Studies, Ethical Standards And Conduct
状态：免费试用Microsoft
您将获得的技能: 机器学习, 模型评估, 数据预处理, 负责任的人工智能, 应用机器学习, 模型部署, 微软 Azure, 预测建模, 数据库, 深度学习, MLOps（机器学习 Operator）, 人工智能和机器学习（AI/ML）, 数据科学
您将获得的技能: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
状态：免费试用University of Amsterdam
您将获得的技能: 统计分析, 描述性统计, 研究设计, 研究, 数据分析, 研究方法, 实验, 定性研究, 数据收集, 研究报告, 创建调查, 调查
总之，以下是 10 最受欢迎的 nutritional science 课程
- Python - Complete Python, Django, Data Science and ML Guide: Packt
- 全球变暖 I：气候变化的科学与建模: The University of Chicago
- SQL for Data Science (and Version Control with GitHub): Coursera
- Foundations of Data Science and Machine Learning with Python: Packt
- 科学传播：在数字世界传播值得信赖的信息: Erasmus University Rotterdam
- Python for Data Science (and Version Control with GitHub): Coursera
- Tobacco & Nicotine: Public Health, Science, Policy, and Law: University of Michigan
- 数据科学高级线性模型 2：统计线性模型: Johns Hopkins University
- La science forensique au tribunal: témoin digne de foi ? : University of Lausanne
- 准备 DP-100：Microsoft Azure 数据科学考试: Microsoft
