Data Lake 课程
Data Lake 课程可以帮助您学习数据摄取、存储管理、数据处理和解析技术。您可以掌握数据治理、模式设计和优化查询性能方面的技能。许多课程会介绍 Apache Hadoop、Amazon S3 和 Apache Spark 等工具，演示这些技术如何支持高效的数据处理和分析。您还将探索数据架构、ETL 流程和数据安全等关键主题，掌握有效管理大型数据集的实用知识。
热门 Data Lake 课程和认证
状态：免费试用您将获得的技能: Sales Pipelines, Sales Management, Sales Process, Sales Strategy, Anthropic Claude, Sales Development, Customer Engagement, Responsible AI, Sales Training, Generative AI Agents, Customer experience improvement, Lead Generation, ChatGPT, Forecasting, Business Ethics, Prioritization
状态：免费试用您将获得的技能: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Data Import/Export, Programming Principles, Data Cleansing
您将获得的技能: Portfolio Management, Risk Analysis, Investment Management, Time Series Analysis and Forecasting, Financial Modeling, Object Oriented Programming (OOP), Statistical Analysis, Simulations, Regression Analysis, Jupyter, Python Programming, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Data Manipulation
状态：免费试用您将获得的技能: Data Analysis Expressions (DAX), Power BI, Dashboard, Pivot Tables And Charts, Data Transformation, Data Visualization Software, Interactive Data Visualization, Data Modeling, Data Presentation, Data Manipulation, Business Intelligence, Microsoft Excel, Microsoft Power Platform, Report Writing, Data Cleansing
您将获得的技能: Data Pipelines, Microsoft SQL Servers, Microsoft Azure, Database Development, Data Warehousing, SQL, Data Integration, Extract, Transform, Load
状态：预览您将获得的技能: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis
状态：免费试用University of Michigan
您将获得的技能: 数据可视化软件, 统计方法, 统计分析, 政治科学, 绘图（图形）, 案例研究, 数据分析, R 语言程序设计（中文版）, 计划评估, R（软件）, Ggplot2, 探索性数据分析, 数据伦理, 政策分析, 统计可视化, 数据可视化, 数据展示, 调查, 统计假设检验, Tidyverse（R 软件包）
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 描述性统计, 统计分析, 统计推理, 数据分析, 概率与统计, 微软Excel, 商业分析, 探索性数据分析, 概率分布, 抽样（统计）, 数据展示, 决策, 数据驱动的决策制定
状态：免费试用Microsoft
您将获得的技能: 数据建模, 流程图, 业务过程, 业务流程建模, 图表设计, 数据流图 (DFD), 商业分析, Microsoft Visio
您将获得的技能: Health Insurance Portability And Accountability Act (HIPAA) Compliance, Data Governance, Health Information Management, Regulatory Compliance, Data Architecture, Medical Records, Scalability, Health Care Procedure and Regulation, Data Security, Personally Identifiable Information, General Data Protection Regulation (GDPR), Information Privacy, Microsoft Azure, Health Technology, Interoperability, Encryption, Identity and Access Management, Role-Based Access Control (RBAC), Real Time Data
状态：免费试用Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Google Cloud
您将获得的技能: Big Data, Google Cloud Platform, Google Sheets, Data Visualization, Spreadsheet Software, Analytics, Scripting, Data Presentation, Google Workspace, Cloud API, Data Compilation
与 data lakes 相关的搜索
总之，以下是 10 最受欢迎的 data lakes 课程
- GenAI for Sales Managers: Data-Driven Sales Forecasting: Coursera
- Python for Data Science (and Version Control with GitHub): Coursera
- Python for Finance: Investment Fundamentals & Data Analytics: Packt
- Data Preparation and Visualization with Power BI: Packt
- Azure Data Factory : Implement SCD Type 1: Coursera
- Four Rare Machine Learning Skills All Data Scientists Need: SAS
- 使用 R 进行公共部门数据分析: University of Michigan
- 为商业决策探索和生成数据: University of Illinois Urbana-Champaign
- 使用 Microsoft Visio 进行数据和业务流程建模: Microsoft
- Healthcare Data Management, Security, and Compliance: Microsoft
