您将获得的技能: 统计分析, 数据科学, 数据伦理, 决策树学习, 数据战略, 模型评估, 监督学习, 分析, 文本挖掘, 分析技能, 回归分析, 无监督学习, 预测建模, 预测分析, 自然语言处理, 商业分析, 数据挖掘, 云计算, 社交媒体, 异常检测

您将获得的技能: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Prompt Patterns, Data Synthesis, Microsoft Excel, LLM Application, Productivity, Infographics, OpenAI, Document Management, AI Enablement, Data Analysis, SQL, Generative AI, Artificial Intelligence, Data Visualization, Data Cleansing, Databases

您将获得的技能: 数据分析, 技术写作, 分类算法, Algorithm, 数据展示, 模型评估, 大数据, 分析, 非结构化数据, 文本挖掘, 数据整合, 自然语言处理, 创新, 数据挖掘, 数据可视化软件, 探索性数据分析, 功能工程

您将获得的技能: 数据收集, 数据分析, 数据伦理, 公共卫生, 健康信息学, 系统监控, 流行病学, 信息隐私, 趋势分析, 慢性疾病, 风险分析, 生物统计学, 法律, 媒体与传播, 公共卫生与疾病预防, 技术交流, 传染病, 卫生政策

您将获得的技能: 网络服务, 可扩展标记语言（XML）, 互操作性, 数据处理, JSON, 数据建模, 数据管理, Data Management, 数据整合, Query 语言, 数据挖掘, 数据共享, 语义网

您将获得的技能: 生成式人工智能, 数据整理, 数据叙事, 交互式数据可视化, 数据展示, Prompt Engineering, 数据可视化软件, 数据驱动的决策制定, 实时数据, LLM 申请

您将获得的技能: Data Preprocessing, Data Integration

您将获得的技能: Cloud Security, Intrusion Detection and Prevention, Email Security, Incident Response, Application Security, Cloud Computing, Computer Security Incident Management, Cyber Attacks, Infrastructure Security, Cyber Threat Intelligence, Threat Detection, Web Applications, Malware Protection, Network Security, Threat Management, Security Information and Event Management (SIEM), Network Monitoring, Digital Forensics

您将获得的技能: Data Analysis, Data Cleansing, Microsoft Excel, Exploratory Data Analysis, Data Manipulation, Data Preprocessing, Data Quality, Excel Formulas

您将获得的技能: Data Transformation, JSON, Data Preprocessing, Data Structures, Data Validation

您将获得的技能: Generative AI, Financial Data, Financial Analysis, Data-Driven Decision-Making, Financial Statements, Text Mining, Market Intelligence, Unstructured Data, Financial Market, Artificial Intelligence, Analysis, Natural Language Processing

您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction