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。

您将获得的技能: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Large Language Modeling, LLM Application, Model Evaluation, Content Creation
初级 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: Data Modeling, Data Infrastructure, Real Time Data, Data Management, Database Systems, Data Architecture, Big Data, Data Processing, Database Management Systems, Unstructured Data, Scalability
混合 · 课程 · 1-3 个月

您将获得的技能: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)
中级 · 课程 · 1-4 周

University of California, Irvine
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Big Data, Analytical Skills, Business Analysis, Business Analytics, Cloud Computing Architecture, Cloud Engineering
初级 · 课程 · 1-4 周

IBM
您将获得的技能: 回归分析, 预测建模, 模型评估, 逻辑回归, 降维, Scikit-learn (机器学习库), Python 程序设计, 机器学习, 应用机器学习, 功能工程, 分类算法, 监督学习, 决策树学习, 无监督学习
中级 · 课程 · 1-3 个月

NVIDIA
您将获得的技能: 生成式人工智能, MLOps(机器学习 Operator), 云计算, AI 协调, 大型语言模型, 网络基础设施, 云基础设施, 信息技术业务, 人工智能和机器学习(AI/ML), 信息技术基础设施, 人工智能, 数据中心, 机器学习, 模型部署, 深度学习, Devops 工具, 硬件架构, 基础设施架构, 数据基础设施, 计算机结构
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Generative AI, A/B Testing, Generative AI Agents, Content Creation, Text Mining
初级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Fraud detection, Jupyter, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Risk Modeling, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design, Technical Communication
中级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
中级 · 课程 · 1-4 周

您将获得的技能: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing
中级 · 课程 · 1-3 个月