数据 Cleaning 课程可以帮助您学习识别和纠正数据集中的错误、处理缺失值以及规范数据格式的技术。您可以掌握数据 Validation、Outlier 检测以及将原始数据 Transformer 成可用格式等方面的技能。许多课程都会介绍一些工具,如 Pandas 和 NumPy 等 Python 库,以及 OpenRefine 等软件,这些工具支持高效执行数据分析任务并确保数据质量,以便进行分析。

Imperial College London
您将获得的技能: Python 程序设计, 无监督学习, 数据预处理, 微积分, 降维, 统计, 线性代数, Jupyter, 功能工程, NumPy, 高等数学
中级 · 课程 · 1-4 周

您将获得的技能: LangChain, Agentic Workflows, CI/CD, LangGraph, AI Orchestration, AI Workflows, Model Deployment, Continuous Integration, DevOps, Continuous Deployment, Generative AI Agents, Application Deployment, AI Enablement, Cloud Deployment, Test Automation, AI Product Strategy, Program Development, Microsoft Copilot, Maintainability, Agentic systems
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 张力流, 嵌入, 自然语言处理, 数据预处理, 文本挖掘, 生成式人工智能, 应用机器学习, 递归神经网络 (RNN), 机器学习, 人工神经网络
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 统计方法, 概率与统计, 数据分析, 统计推理, 统计假设检验, 统计, 统计分析, 概率分布, R(软件), 软件安装, 统计报告, R 语言程序设计(中文版), 抽样(统计)
初级 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement
中级 · 课程 · 1-4 周

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

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
中级 · 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

University of Pennsylvania
您将获得的技能: 创新, 人工智能, Data Governance, 商业策略, 业务转型, 负责任的人工智能, 数据安全, 数据伦理, 管理, 大数据, AI 产品战略, 风险, AI 赋能
初级 · 课程 · 1-4 周
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

Campus BBVA
您将获得的技能: Data Storytelling, Data-Driven Decision-Making, Data Visualization, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Business Analysis, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Big Data, Statistical Analysis
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 时间序列分析和预测, 深度学习, 数据预处理, 张力流, 卷积神经网络, 预测建模, 应用机器学习, 递归神经网络 (RNN), 机器学习, 人工神经网络, 预测
中级 · 课程 · 1-4 周