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。

您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
中级 · 课程 · 1-3 个月

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
中级 · 专项课程 · 3-6 个月

您将获得的技能: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
中级 · 专项课程 · 3-6 个月

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
中级 · 课程 · 1-3 个月

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
初级 · 课程 · 1-3 个月

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
初级 · 课程 · 1-3 个月
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
初级 · 课程 · 1-3 个月

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
高级设置 · 课程 · 1-4 周

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
初级 · 课程 · 1-3 个月

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
中级 · 课程 · 1-3 个月

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
中级 · 指导项目 · 不超过 2 小时

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
初级 · 课程 · 1-3 个月