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: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability
混合 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
高级设置 · 课程 · 1-4 周

您将获得的技能: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning
初级 · 课程 · 1-3 个月

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

您将获得的技能: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Science, Data Manipulation
初级 · 指导项目 · 不超过 2 小时

LearnQuest
您将获得的技能: Python 程序设计, 计算机视觉, 人工智能和机器学习(AI/ML), 微软 Azure, 应用编程接口 (API), 自然语言处理, 机器学习算法, 机器学习, 数据科学, 模型部署, 图像分析
高级设置 · 课程 · 1-3 个月

King Abdullah University of Science and Technology
您将获得的技能: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation
初级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing
中级 · 指导项目 · 不超过 2 小时

Duke University
您将获得的技能: 数据管理, Data Management, 数据清理, 数据预处理, 项目管理生命周期, 人工智能和机器学习(AI/ML), 项目管理, 市场机遇, 数据质量, 技术管理, 技术解决方案, 数据管道, 系统设计, 模型评估, MLOps(机器学习 Operator), 应用机器学习, 数据科学, 软件开发方法, 数据收集, 机器学习, 模型部署
初级 · 课程 · 1-3 个月

您将获得的技能: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
高级设置 · 专项课程 · 3-6 个月

Duke University
您将获得的技能: Python 程序设计, PyTorch(机器学习库), 计算机视觉, 递归神经网络 (RNN), 监督学习, 自然语言处理, 深度学习, 卷积神经网络, 人工神经网络, 机器学习, 医学影像, 强化学习, 无监督学习, 图像分析, 应用机器学习, 迁移学习, 逻辑回归
中级 · 课程 · 1-3 个月