您将获得的技能: 人工智能, 负责任的人工智能, 医疗保健行业知识, 验证和确认, 机器学习, 医疗程序和 Regulator, 医疗保健伦理, 数据伦理, 健康技术, 模型评估

您将获得的技能: 数据收集, 数据整理, 趋势分析, 自然语言处理, 数据库, 模拟, 社交网络分析, 数据处理, 计算思维, 机器学习, 社会科学, 人工智能和机器学习（AI/ML）, 大数据, 网页抓取, 非结构化数据

您将获得的技能: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning, Classification Algorithms, Trend Analysis

您将获得的技能: 回归分析, 分类算法, 相关性分析, 概率与统计, 欺诈检测, 无监督学习, 协作软件, 统计分析, 分析, 预测分析, 异常检测, 机器学习, 市场分析, 数据挖掘, 模型评估, 散点图

您将获得的技能: Art History, Aesthetics, Liberal Arts, Creativity, Ancient History, Writing

您将获得的技能: Digital Transformation, Google Workspace, Google Cloud Platform, Business Transformation, Cloud Applications, Cloud Management, Application Development, Productivity Software, Data Storage, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Cost Management, Cloud Infrastructure, Machine Learning

您将获得的技能: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment

您将获得的技能: 人工智能, 负责任的人工智能, 数字扫盲, 机器学习, AI 赋能, 人工智能和机器学习（AI/ML）, 数据伦理

您将获得的技能: Python 程序设计, 预测建模, 分类算法, 数据转换, 无监督学习, 机器学习, Scikit-learn （机器学习库）, 数据预处理, 随机森林算法, 应用机器学习, 数据清理, 监督学习, 人工神经网络, 降维

您将获得的技能: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling

您将获得的技能: 回归分析, 预测建模, 微积分, 数学建模, 统计推理, 统计建模, 数据分析, 机器学习, 数据伦理, R 语言程序设计（中文版）, 逻辑回归, 统计方法, 概率分布, 模型评估, 线性代数

您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks