数据工程课程
数据工程课程可以帮助您学习数据建模、ETL（提取、转换、加载）流程和数据仓库技术。您可以掌握数据管道构建、数据库管理以及确保数据质量和完整性方面的技能。许多课程会介绍 Apache Spark、Hadoop 和 SQL 等工具，这些工具支持处理大型数据集和优化数据 Workflow。您还将探索 AWS 和 Azure 等云平台，这些平台可促进可扩展的数据解决方案，并提高您在各种环境中管理数据的能力。
热门数据工程课程和认证
状态：免费试用University of California San Diego
您将获得的技能: 机器学习算法, 数据操作, 预测建模, 数据清理, Scikit-learn （机器学习库）, 张力流, 监督学习, 功能工程, 深度学习, 数据科学, 设计思维, 统计方法, 分类与回归树 (CART), 回归分析, 预测分析, 应用机器学习
状态：新状态：预览Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Big Data, Artificial Neural Networks, Trend Analysis, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Statistical Analysis, Forecasting, Advanced Analytics, Deep Learning, Predictive Analytics, Natural Language Processing
状态：免费试用University of Colorado Boulder
您将获得的技能: Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Probability Distribution, Statistical Software, Statistics, R (Software), Data Visualization, Statistical Analysis, Probability, R Programming, Probability & Statistics, Data Manipulation, Histogram, Taxonomy, Data Import/Export
状态：免费试用University of Virginia
您将获得的技能: Model View Controller, Integrated Development Environments, Data Modeling, Database Design, Software Development Tools, NoSQL, Database Architecture and Administration, Application Programming Interface (API), OpenAI, Version Control, Artificial Intelligence, API Design, Generative AI
状态：免费试用University of California, Irvine
您将获得的技能: 预测建模, 数据分析, 商业分析, 异常检测, 自然语言处理, 回归分析, 文本挖掘, 数据伦理, 数据战略, 数据科学, 无监督学习, 分类与回归树 (CART), 统计建模, 分析技能, 预测分析, 统计分析, 数据挖掘, 云计算, 决策树学习, 社交媒体
状态：免费试用状态：人工智能技能IBM
您将获得的技能: Python 程序设计, 数据可视化软件, 数据分析, 数据叙事, 交互式数据可视化, 数据整理, 数据转换, 数据导入/导出, 探索性数据分析, Plotly, Excel 公式, SQL, 专业网络, 大数据, IBM Cognos 分析, 生成式人工智能, 仪表板, 数据可视化, 数据展示, 微软Excel
状态：免费试用您将获得的技能: Python 程序设计, 数据操作, 数据分析, 数据结构, 脚本, Pandas（Python 软件包）, JSON, 数据导入/导出, 网页抓取, 编程原则, 数据处理, 计算机编程, NumPy, 面向对象编程（OOP）, 自动化, Jupyter, 应用编程接口 (API), 还原式 API
状态：免费试用Duke University
您将获得的技能: 计算机视觉, Google 云端平台, 微软 Azure, 自然语言处理, 人工智能和机器学习（AI/ML）, Flask（网络框架）, MLOps（机器学习 Operator）, 软件工程, 持续交付, 应用机器学习, 云应用
状态：新状态：预览Northeastern University
您将获得的技能: Data Governance, Database Management, Database Architecture and Administration, Data Management, Data Warehousing, Database Design, SQL, Transaction Processing, Stored Procedure, Data Security, Disaster Recovery, Encryption, Server Side, Data Encryption Standard, Data Integrity, Graph Theory
状态：新状态：免费试用您将获得的技能: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Data Visualization Software, Cloud Storage, Dashboard, Data Strategy, Data Integration, Real Time Data, Data Validation
状态：新状态：免费试用您将获得的技能: Generative AI, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), Large Language Modeling, Infrastructure Architecture, Performance Tuning, Application Deployment, Site Reliability Engineering, Enterprise Architecture, Continuous Deployment, Continuous Monitoring, Technology Strategies, Process Optimization, Automation, Job Evaluation
状态：免费试用您将获得的技能: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Database Administration, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Data Architecture
与 data engineering 相关的搜索
总之，以下是 10 最受欢迎的 data engineering 课程
- 数据产品的设计思维和预测分析: University of California San Diego
- Machine Learning and Data Analytics Part 2: Northeastern University
- Defining, Describing, and Visualizing Data: University of Colorado Boulder
- Coding Data Models with AI: University of Virginia
- 数据科学基础: University of California, Irvine
- IBM 数据分析师: IBM
- 用于数据科学、人工智能和开发的 Python: IBM
- 云机器学习工程和 MLOps: Duke University
- Data Management and Database Design Part 2: Northeastern University
- Orchestrating Data Pipelines and Advanced Data Strategies: Packt
