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。

University of Colorado Boulder
您将获得的技能: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data Manipulation, Marketing Analytics, Python Programming, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric
攻读学位
初级 · 课程 · 1-4 周

Edureka
您将获得的技能: 卷积神经网络, 分类算法, 数据科学, 数据预处理, 机器学习, 自然语言处理, 人工智能, 深度学习, 预测建模, 应用机器学习, 张力流, 监督学习, 文本挖掘, 递归神经网络 (RNN)
初级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
初级 · 专项课程 · 1-3 个月

您将获得的技能: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
中级 · 专项课程 · 3-6 个月

您将获得的技能: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Embeddings, Vector Databases, User Interface (UI), Generative AI, AI Personalization, Prompt Engineering, Agentic systems, Data Visualization, AI Enablement, Image Analysis, Application Development, Augmented Reality, Text Mining, Graph Theory, Artificial Intelligence and Machine Learning (AI/ML)
中级 · 专项课程 · 3-6 个月

Case Western Reserve University
您将获得的技能: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, Probability & Statistics, Data-Driven Decision-Making, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)
中级 · 专项课程 · 3-6 个月

您将获得的技能: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control
初级 · 课程 · 1-3 个月

Universidade de São Paulo
您将获得的技能: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution
中级 · 课程 · 1-3 个月
CertNexus
您将获得的技能: 机器学习, 模型评估, 负责任的人工智能, AI 产品战略, 解决方案设计, 人工智能和机器学习(AI/ML), 项目实施, 业务解决方案, MLOps(机器学习 Operator), 商业道德, 应用机器学习, 机器学习算法, 数据伦理, 合规管理, 监管合规, 数据驱动的决策制定, AI 赋能
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 模型评估, 拥抱的脸, 模型部署, 集装箱化, GitHub, Docker (软件), 云部署, Devops, MLOps(机器学习 Operator), 云计算, 迁移学习, 微软 Azure, 机器学习软件, CI/CD
高级设置 · 课程 · 1-4 周
