大数据课程
Big Data 课程可以帮助您学习数据分析、数据可视化、统计建模和数据挖掘技术。您可以掌握解释大型数据集、设计数据驱动战略和使用 Machine Learning 算法的技能。许多课程会介绍 Hadoop、Spark 和 Tableau 等工具，这些工具支持处理海量信息并有效地呈现见解。此外，您还可以探索数据仓库、预测解析和数据使用的道德影响等主题。
热门 Big Data 课程和认证
状态：免费试用University of Glasgow
您将获得的技能: Data-Driven Decision-Making, Business Leadership, Leadership Studies, Organizational Leadership, Leadership, Strategic Leadership, Organizational Structure, Leadership and Management, Leadership Development, Agile Product Development, Social Sciences, Ancient History
状态：免费试用您将获得的技能: AWS Kinesis, Amazon DynamoDB, Amazon S3, Data Pipelines, AWS SageMaker, Real Time Data, Amazon CloudWatch, AWS Identity and Access Management (IAM), Cloud Storage, Apache Spark, Dashboard, Amazon Web Services, Apache Hive, Interactive Data Visualization, Apache Hadoop, Data Visualization Software, Data Processing, Extract, Transform, Load, Data Storage, Database Management Systems
状态：免费试用您将获得的技能: R Programming, Alteryx, Statistical Programming, Tableau Software, Data Cleansing, Data Visualization Software, Dashboard, Data Visualization, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Data Processing, Data Manipulation, Data Transformation, Data Import/Export
您将获得的技能: JSON, Application Programming Interface (API), Application Development, Data Access, Restful API, Python Programming, User Interface (UI)
状态：免费您将获得的技能: Microsoft Copilot, Microsoft Excel, Data Cleansing, Data Visualization Software, Spreadsheet Software, Trend Analysis, Forecasting, Data Manipulation, Sales, Data Analysis, Artificial Intelligence
状态：免费您将获得的技能: Command-Line Interface, Go (Programming Language), Package and Software Management, Programming Principles, Program Development, Data Structures, Debugging
状态：免费试用University of Maryland, College Park
您将获得的技能: Data Storytelling, Data Visualization, Data Presentation, Presentations, Data Literacy, Decision Making, Dashboard, Data-Driven Decision-Making, Customer Engagement, Business Transformation, Digital Transformation, Data Strategy, Storytelling, Persuasive Communication, Microsoft PowerPoint, Analytics, Customer Insights, Data Science, Influencing, Stakeholder Engagement
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, LangChain, Embeddings, Real Time Data, Vision Transformer (ViT), Data Quality
状态：免费试用University of Glasgow
您将获得的技能: Data-Driven Decision-Making, Agile Methodology, Strategic Leadership, Business Leadership, Business Transformation, Analytics, Data Analysis, Leadership, Leadership Development, Organizational Leadership, Leadership and Management, Team Leadership, Cross-Functional Collaboration, Complex Problem Solving
状态：预览University of Copenhagen
您将获得的技能: 数据共享, 信息隐私, 数据伦理, 数据收集, 数据驱动的决策制定, Algorithm, 个人身份信息, 大数据, 数字扫盲, 法律, 新闻学, 数据扫盲, 数据安全, 人工智能和机器学习（AI/ML）
Google Cloud
您将获得的技能: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Applied Machine Learning, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies
您将获得的技能: Snowflake Schema, Data Pipelines, Apache Airflow, Data Security, Data Governance, Extract, Transform, Load, Apache Kafka, Performance Tuning, Data Warehousing, Amazon S3, Amazon Web Services, Real Time Data, SQL
与 big data 相关的搜索
总之，以下是 10 最受欢迎的 big data 课程
- Data-Driven Leadership Skills Course 1: Leadership Narrative: University of Glasgow
- AWS Certified Data Analytics Specialty (2023) Hands-on: Packt
- Data Analytics and Visualization with Tableau and more: Packt
- Storing, Retrieving, and Processing JSON data with Python: Coursera
- Copilot for Beginners: Sales Data Analysis in Excel: Coursera
- Golang for Beginners: Data Types, Functions, and Packages: Coursera
- Storytelling and Persuading with Data and Digital Technology: University of Maryland, College Park
- Preprocessing Unstructured Data for LLMs and RAG Systems: Packt
- Data-Driven Leadership Skills Course 2: Agile Leadership: University of Glasgow
- 数据素养--它是什么，为什么重要？: University of Copenhagen
