Big Data Analytics 课程可以帮助您学习数据挖掘、统计分析、数据可视化和预测建模。您可以掌握解释复杂数据集、做出数据驱动决策和有效沟通见解的技能。许多课程都会介绍 Apache Hadoop、Spark 和 Tableau 等工具,这些工具支持处理大型数据集和可视化趋势,让您能够在各种业务环境中应用自己的解析技能。

Coursera
您将获得的技能: Statistical Hypothesis Testing, Data-Driven Decision-Making, LLM Application, Performance Metric, Statistical Analysis, Test Script Development, Large Language Modeling, Business Metrics, Model Evaluation, Prompt Engineering, Natural Language Processing
中级 · 课程 · 1-4 周

IBM
您将获得的技能: Data Governance, 数据建模, 冲刺回顾, 流程改进, 数据转换, 数据管道, 业务重点, 数据管理, Data Management, 数据整合, 数据质量, 数据战略, 冲刺计划, 元数据管理, 数据扫盲, 分类学, 数据驱动的决策制定
初级 · 课程 · 1-3 个月
您将获得的技能: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
中级 · 课程 · 1-4 周

Vanderbilt University
您将获得的技能: Generative AI Agents, Agentic Workflows, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, AI Personalization, Prompt Engineering, Tool Calling, Emerging Technologies, Responsible AI
初级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: 数据可视化软件, 软件安装, 数据分析, R 语言程序设计(中文版), Rmarkdown, Ggplot2, 数据转换, 编程原则, 统计编程, 数据可视化, 数据操作, Tidyverse(R 软件包)
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Google 云端平台, 模型评估, 机器学习, 深度学习, 模型部署, 数据预处理, 数据管道, 数据转换, 功能工程, MLOps(机器学习 Operator), Python 程序设计, 云部署, 张力流, 人工神经网络, Keras(神经网络库)
中级 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
高级设置 · 专项课程 · 3-6 个月

University of California, Irvine
您将获得的技能: Goal Setting, Interviewing Skills, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Negotiation, Workforce Planning, Professional Development, LinkedIn, Artificial Intelligence, Machine Learning, Talent Sourcing, Compensation and Benefits, Data Science, Data Analysis, Recruitment, Data Architecture, Presentations, Technical Consulting, Big Data, Job Analysis
初级 · 专项课程 · 1-3 个月

您将获得的技能: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis
中级 · 课程 · 1-4 周
University of London
您将获得的技能: 描述性统计, 概率分布, 数据分析, 数学建模, 概率与统计, 统计建模, 统计推理, 统计, 统计假设检验, 概率, 数据可视化, 风险模型, 数据驱动的决策制定, 抽样(统计)
初级 · 课程 · 1-3 个月

您将获得的技能: Data Ethics, Responsible AI, AI Security, Business Ethics, Artificial Intelligence, Information Privacy, Ethical Standards And Conduct, Regulatory Requirements, Emerging Technologies, Strategic Leadership, Accountability, Diversity and Inclusion, Stakeholder Engagement
初级 · 课程 · 1-4 周