食品科学课程
食品科学课程可以帮助您了解食品安全、营养、感官评估和食品加工技术。您可以掌握配方制定、质量控制和了解食品化学方面的技能。许多课程都会介绍一些工具，如分析口味测试的统计软件、测试食品特性的实验室设备以及预测保质期的食品建模软件，让您在实际的食品生产和创新中应用这些技能。
热门食品科学课程和认证
状态：免费试用Johns Hopkins University
您将获得的技能: 统计假设检验, 数据可视化软件, 回归分析, 预测建模, 探索性数据分析, 统计建模, 数据整理, 数据科学, 数据操作, 数据建模, Ggplot2, 数据导入/导出, R（软件）, 绘图（图形）, 数据分析, 数据分析软件, R 语言程序设计（中文版）, 网页抓取, 数据可视化, Tidyverse（R 软件包）
状态：预览University of Leeds
您将获得的技能: Logical Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence, Cryptography, Graph Theory
状态：免费试用University of Michigan
您将获得的技能: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence
状态：免费试用Howard University
您将获得的技能: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management
状态：免费试用Johns Hopkins University
您将获得的技能: 分子生物学, 命令行界面, Unix 命令, 数据管理, Linux 命令, 生物信息学, 文件管理, 大数据, 数据分析软件, Unix, 数据处理
状态：预览University of Pennsylvania
您将获得的技能: Python 程序设计, 面向对象编程（OOP）, 计算机硬件, Algorithm, 数据结构, 分析, 调试, 计划发展, 解决问题, 计算思维, 伪代码, 计算机编程
状态：预览Erasmus University Rotterdam
您将获得的技能: Data Sharing, Educational Materials, Education and Training, General Science and Research, Science and Research, Scientific Methods, Research, Research Design, Research Methodologies, Experimentation, Peer Review, Data Access, Ethical Standards And Conduct, Data Store, Interoperability, Metadata Management
状态：免费试用Rice University
您将获得的技能: Timelines, Ancient History, Scientific Methods, World History, Anthropology, General Science and Research, Environment, Spatial Analysis, Research, Culture, Geospatial Information and Technology, Data Collection, Biology
您将获得的技能: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
状态：免费试用University of California, Irvine
您将获得的技能: 数据叙事, 交互式数据可视化, 描述性统计, 数据可视化软件, Tableau 软件, 网络分析, 应用程序部署, 数据伦理, 数据展示, 探索性数据分析, 分析技能, 热图, 描述性分析, 仪表板, 绘图（图形）, 地理空间信息与技术, 数据分析, 散点图, 统计可视化, 柱状图
总之，以下是 10 最受欢迎的 food science 课程
- 用 R 语言学习数据科学的 Tidyverse 技能: Johns Hopkins University
- An Introduction to Logic for Computer Science: University of Leeds
- Understanding Data: Navigating Statistics, Science, and AI: University of Michigan
- Linear Algebra for Data Science Using Python: Howard University
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
- 基因组数据科学的命令行工具: Johns Hopkins University
- 解决问题的计算思维: University of Pennsylvania
- A starter’s guide to Open Science: Erasmus University Rotterdam
- Introduction to Archaeology : Archaeology as Science: Rice University
