Data Science 课程可帮助您了解如何分析数据、创建模型并评估其性能。您可以发展统计、自动学徒、数据准备和可视化方面的能力。许多课程使用最新的语言和书库,用于实践项目。

The State University of New York
您将获得的技能: 描述性统计, 相关性分析, 软件安装, 统计建模, 概率与统计, 统计推理, 统计分析, 数学建模, 时间序列分析和预测, 数据分析, 模型评估, R 语言程序设计(中文版), 数据可视化, 预测
中级 · 课程 · 1-3 个月
University of California, Davis
您将获得的技能: 数据叙事, 数据可视化软件, 高级分析, 交互式数据可视化, Tableau 软件, 地理空间制图, 热图, 透视表和图表, 数据可视化, 数据映射, 预测, 散点图, Tree 地图, Data Analysis 表达式(DAX), 柱状图, 分析
初级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
中级 · 课程 · 1-3 个月

University of Toronto
您将获得的技能: 数据叙事, 数据 Compiler, 排版, 全球定位系统, 数据建模, 地理空间制图, 数据操作, 地理信息系统软件, 空间数据分析, ArcGIS, 数据映射, 地理信息系统, 地理空间信息与技术, 数据可视化, 设计元素和原则, 图像分析, Query 语言, 元数据管理, 空间分析, 定量研究
初级 · 专项课程 · 3-6 个月
您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
中级 · 课程 · 1-4 周

您将获得的技能: AI Security, Workplace inclusivity, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: LangGraph, AI Orchestration, System Monitoring, CrewAI, Agentic Workflows, Continuous Monitoring, Agentic systems, Enterprise Application Management, Event Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Site Reliability Engineering, AI Enablement, Model Deployment, Generative AI Agents, Generative Model Architectures, AI Security, Systems Architecture, Software Architecture, Application Deployment, Middleware
中级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing
初级 · 课程 · 1-3 个月

您将获得的技能: 应用程序部署, 无服务器计算, 人工智能, 模型部署, Prompt Engineering, ChatGPT, 生成式人工智能, 实时数据, OpenAI 应用程序接口, 网络开发工具, 云应用, 网络应用, AI 安全, LLM 申请
中级 · 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
您将获得的技能: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: Python 程序设计, 负责任的人工智能, 模型部署, AWS SageMaker, 探索性数据分析, NumPy, MLOps(机器学习 Operator), 数据管理, 数据操作, 云部署, 云计算, 微软 Azure, 数据分析, 机器学习, Pandas(Python 软件包), 集装箱化, Devops, 大数据, GitHub, 拥抱的脸
高级设置 · 专项课程 · 3-6 个月