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。

您将获得的技能: Data Transformation, Customer Analysis, Data Analysis, Customer Data Management, MongoDB, Data Processing, Data Validation, Financial Data, Data Import/Export, Data Pipelines, Data Integration, Development Environment
中级 · 课程 · 1-4 周

您将获得的技能: Data Analysis Expressions (DAX), Azure Synapse Analytics, Microsoft Azure, Real Time Data, Query Languages, Power BI, Data Warehousing, Dataflow, SQL, Apache Spark, Data Pipelines, Data Governance, Business Analytics, Data Management, Data Science, Workflow Management, Security Engineering, Artificial Intelligence and Machine Learning (AI/ML), Warehouse Management, Application Deployment
中级 · 课程 · 1-3 个月

您将获得的技能: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning
初级 · 专项课程 · 1-3 个月

您将获得的技能: Database Architecture and Administration, Database Administration, Data Maintenance, Operational Databases, Relational Databases, Capacity Planning, Database Management, Data Integrity, Application Performance Management, Disaster Recovery, Data Validation, Performance Tuning, Problem Management, Demand Planning, SQL, Data Access, Forecasting, Resource Planning, Performance Analysis
高级设置 · 课程 · 1-4 周

您将获得的技能: Extract, Transform, Load, Data Warehousing, Web Scraping, Database Administration, Data Engineering, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, Database Management, Apache Kafka, Apache Airflow, Bash (Scripting Language), Database Architecture and Administration, Shell Script, IBM DB2, Generative AI, Data Import/Export, Data Security
中级 · 专业证书 · 3-6 个月
Coursera
您将获得的技能: Extract, Transform, Load, Data Pipelines, Data Warehousing, Data Transformation, Data Integration, Databases, Data Manipulation, Real Time Data, AI Workflows, Database Management, Business Workflow Analysis, Performance Tuning, Process Design, Data Validation, Apache, Scalability, Design
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, PostgreSQL, Database Development, Performance Tuning, Scalability
初级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring
初级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: 机器学习, 无监督学习, 产品管理, MLOps(机器学习运营), 模型评估, 人机交互, 项目管理, 模型部署, 数据质量, 项目管理生命周期, 负责任的人工智能, 分类与回归树 (CART), 用户体验设计, 数据管理, Data Management, 数据预处理, 深度学习, 数据科学, Model Evaluation, 数据伦理, 以人为本的设计, 产品设计
初级 · 专项课程 · 3-6 个月

您将获得的技能: Dashboard, Extract, Transform, Load, Data Storytelling, Data Visualization, Database Design, Presentations, Descriptive Statistics, IBM DB2, Business Intelligence, Data Visualization Software, Tableau Software, Relational Databases, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, MySQL, Star Schema, Forecasting, Excel Formulas
初级 · 专业证书 · 3-6 个月

Duke University
您将获得的技能: 机器学习, 大数据, MLOps(机器学习运营), 负责任的人工智能, PyTorch(机器学习库), 集装箱化, Docker (软件), 拥抱的脸, CI/CD, GitHub, Microsoft Copilot, 无服务器计算, 人工智能和机器学习(AI/ML), 云解决方案, 应用机器学习, 张力流, DevOps, 拉斯特(编程语言)
高级设置 · 课程 · 1-3 个月

您将获得的技能: 机器学习, 生成式人工智能, 无监督学习, Apache Hadoop, 模型评估, 数据处理, 回归分析, Apache Spark, 数据转换, 监督学习, 分类算法, PySpark, Model Evaluation, 数据管道, 应用机器学习, 摘录
中级 · 课程 · 1-4 周