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。

University of Michigan
您将获得的技能: Mechanics, Environmental Monitoring, Global Positioning Systems, Engineering, Physics, Environment, Physical Science, Climate Change Programs, Trigonometry, Geographic Information Systems, Research, Scientific Methods, Manufacturing and Production, Calculus, World History, Chemical Engineering, International Relations, Aerospace Basic Quality System Standards, Political Sciences, Emerging Technologies
★ 4.9 (60) · 初级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: Jupyter, 数据科学, 云计算, 数据分析软件, 应用编程接口 (API), 其他编程语言, R 程序设计, Git(版本控制系统), 云平台, 开发环境, 计算机编程工具, Python 编程, GitHub, 统计编程, 开放源码技术, 数据可视化软件
★ 4.5 (3万) · 初级 · 课程 · 1-3 个月

Università di Napoli Federico II
您将获得的技能: Political Sciences, Policy Analysis, Critical Thinking, Research, Social Sciences, Systems Thinking, Governance, Sociology, Interactive Learning, Research Methodologies
★ 4.9 (30) · 初级 · 课程 · 1-4 周

IBM
您将获得的技能: Plotly, 探索性数据分析, 预测建模, 分类与回归树 (CART), 应用机器学习, 数据科学, 数据收集, 数据分析, 统计报告, 数据驱动决策, Model Evaluation, 交互式数据可视化, GitHub, 数据整理, Pandas(Python 软件包), 模型评估, 数据可视化软件
★ 4.7 (7422) · 中级 · 课程 · 1-3 个月
Utrecht University
您将获得的技能: 经济学, 管理, 社会科学, 游说, 政治科学, 商业法, 社会经济学, 政策分析, 税法
★ 4.7 (61) · 初级 · 课程 · 1-3 个月

您将获得的技能: Probability & Statistics, Data Ethics, Pandas (Python Package), Data Literacy, Statistics, Data Science, Responsible AI, Probability, Data Visualization, Machine Learning, Applied Machine Learning, Mathematical Theory & Analysis, Data Processing, Data Analysis, Data Preprocessing, Data-Driven Decision-Making, Data Architecture, Python Programming, Data Mapping, Data Integrity
初级 · 课程 · 3-6 个月

Ball State University
您将获得的技能: Data Ethics, Full-Stack Web Development, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, Unsupervised Learning, Software Engineering Tools, Database Management Systems, Statistical Methods, Data Wrangling, Theoretical Computer Science, Cryptography, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Logistic Regression, Statistical Programming, Natural Language Processing
学位 · 1-4 年

University of Alberta
您将获得的技能: 物理学, 生物学, 研究, 人类学, 科学与研究, 古代历史
★ 4.5 (168) · 混合 · 课程 · 1-3 个月

University of Illinois Urbana-Champaign
您将获得的技能: 数据库理论, 图论, 网络路由, 面向对象编程(OOP), 面向对象设计, 数据存储技术, 数据库系统, 非结构化数据, 数据存储, 计算机编程, C++(编程语言), 工程软件, 数据结构, 理论计算机科学, 开发环境, 调试, 计划发展, 算法, Algorithm
★ 4.7 (3501) · 中级 · 专项课程 · 1-3 个月

Ball State University
您将获得的技能: Data Ethics, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, Unsupervised Learning, Software Engineering Tools, Database Management Systems, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Artificial Intelligence, Logistic Regression, Statistical Programming, Natural Language Processing
学位 · 1-4 年

Clemson University
您将获得的技能: Human Computer Interaction, Dimensionality Reduction, Database Design, Database Management Systems, Generative AI, MySQL, Model Evaluation, Data Cleansing, Database Theory, Software Development Methodologies, Usability, Reinforcement Learning, Data Preprocessing, Data Mining, Data Structures, Responsible AI, Algorithms, Software Engineering, Artificial Intelligence, Human Factors
学位 · 1-4 年

MathWorks
您将获得的技能: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms
★ 4.9 (14) · 初级 · 课程 · 1-4 周