Data Science 课程
Data Science 课程可帮助您了解如何分析数据、创建模型并评估其性能。您可以发展统计、自动学徒、数据准备和可视化方面的能力。许多课程使用最新的语言和书库，用于实践项目。
Data Science 热门课程和证书
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
状态：新状态：免费试用您将获得的技能: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
状态：免费试用您将获得的技能: Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Apache Hadoop, Applied Machine Learning, Application Programming Interface (API), Apache Hive, Jupyter, Data Storage Technologies, Data Storage, Data Architecture, Data Quality, Artificial Intelligence and Machine Learning (AI/ML), Ad Hoc Analysis, Serverless Computing, Scalability
状态：免费试用IBM
您将获得的技能: 统计分析, 统计推理, 概率与统计, 数据转换, 数据分析, 数据预处理, 数据科学, 人工智能, 数据访问, 功能工程, 统计方法, 统计假设检验, 数据操作, 数据导入/导出, 机器学习, 探索性数据分析, Data Validation, 数据存储技术, 数据清理, 数据质量
状态：免费试用University of London
您将获得的技能: 计算机编程, 计算机扫盲, Javascript, Network Security, 算术, 网页设计与开发, 网络安全, 测量系统, 调试, 计算思维, 解决问题, 开发环境, 计算机科学, 计算机编程工具, 计算机网络, 普通数学, 网络应用, 软件开发工具, 计算机系统, 计算机图形学
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Università di Napoli Federico II
您将获得的技能: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)
状态：预览Microsoft
您将获得的技能: 生成式人工智能, 模型部署, 负责任的人工智能, 迁移学习, 数据伦理, Prompt Engineering, 营销, 功能工程, 信息隐私, 大型语言模型, 广告, AI 安全
状态：免费试用Johns Hopkins University
您将获得的技能: 统计分析, 统计推理, 应用数学, 数学建模, 概率与统计, 概率分布, 数据科学, 回归分析, 线性代数, 统计建模, R 语言程序设计（中文版）
状态：免费试用Johns Hopkins University
您将获得的技能: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising
状态：免费试用University of Colorado Boulder
您将获得的技能: 统计分析, 统计推理, 概率与统计, 统计, 数据伦理, 统计假设检验, 统计方法, 定量研究, 抽样（统计）, 样本量的确定
状态：免费试用Rice University
您将获得的技能: Excel 公式, 数据分析, 散点图, 电子表格软件, 数据可视化软件, 制图, 透视表和图表, 数据操作, 数据导入/导出, 微软Excel, 柱状图
总之，以下是 10 最受欢迎的 data science 课程
- Data Science Fundamentals, Part 2: Pearson
- Data Science Fundamentals Part 1: Unit 2: Pearson
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- 机器学习的探索性数据分析: IBM
- 计算机科学与编程入门: University of London
- Essential Causal Inference Techniques for Data Science: Coursera
- Python per la Data Science: Università di Napoli Federico II
- 用于数据科学的生成式人工智能: Microsoft
- 数据科学高级线性模型 2：统计线性模型: Johns Hopkins University
- Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
