统计 Inference 课程可以帮助您学习假设检验、置信区间、Regression 分析和数据分析。您可以掌握分析 Sampling 样本数据、进行 Prediction 预测以及对更大 Population 得出结论的技能。许多课程都会介绍 R 和 Python 等用于统计编程的工具,以及用于数据 Visualization 的软件,从而提高您有效应用统计方法的能力。

您将获得的技能: Trend Analysis, Financial Data, Market Trend, Data-Driven Decision-Making, Financial Analysis, Data Visualization, Technical Analysis, Financial Market, Matplotlib, Financial Modeling, Correlation Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Jupyter, Data Structures, Data Import/Export
初级 · 课程 · 1-4 周
University of London
您将获得的技能: 专业精神, 数据展示, 团队管理, 描述性统计, 抽样(统计), 团队建设, 语言交流技能, 线性代数, 竞争分析, 业务规划, 组织结构, 专业网络, 财务报表, 管理培训与发展, 资源分配, 变革管理, 企业战略, 数学建模, 商业数学, 国际金融
中级 · 专项课程 · 3-6 个月

University of Pennsylvania
您将获得的技能: 统计分析, 风险管理, 运筹学, 预测建模, 概率分布, 模拟和模拟软件, 数据驱动决策, 风险分析, 数学建模, 统计假设检验, Microsoft Excel, 电子表格软件
混合 · 课程 · 1-4 周

您将获得的技能: Dashboard, Data Storytelling, Data Presentation, Microsoft Excel, Performance Reporting, Business Reporting, Peer Review, Financial Reporting, Pivot Tables And Charts, Data Visualization, Auditing, Spreadsheet Software, Financial Auditing, Persuasive Communication, Financial Modeling, Financial Analysis, Variance Analysis, Business Communication, Stakeholder Communications, Root Cause Analysis
中级 · 专项课程 · 3-6 个月

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

您将获得的技能: Risk Modeling, Financial Modeling, Budgeting, Risk Analysis, Capital Budgeting, Risk Management, Portfolio Risk, Financial Analysis, Portfolio Management, Key Performance Indicators (KPIs), Operating Budget, Investments, Asset Management, Return On Investment, Market Data, Smart Goals, Financial Forecasting, Performance Measurement
中级 · 课程 · 3-6 个月

Johns Hopkins University
您将获得的技能: 统计分析, 探索性数据分析, 技术交流, Data Validation, 数据分析, Rmarkdown, R 程序设计, Git(版本控制系统), 统计报告, 数据共享, 数据验证, 一般科学与研究, 软件文档, GitHub, Knitr
混合 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, MLOps (Machine Learning Operations), Pandas (Python Package), Data Storytelling, Data Preprocessing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Data Visualization, Data Governance, Data Cleansing, Exploratory Data Analysis, Machine Learning
中级 · 课程 · 1-3 个月

Kennesaw State University
您将获得的技能: 统计分析, 探索性数据分析, 流程制图, 数据收集, 抽样(统计), 团队建设, 概率, 团队管理, 回归分析, 六西格玛方法, 绩效衡量, 质量改进, 加工能力, 统计资料, 概率与统计, 统计方法, 流程改进, 业务流程, 精益六西格玛, 过程分析
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Self-Awareness, Emotional Intelligence, Trend Analysis, Data Analysis, Communication, AI Personalization, Descriptive Statistics, Record Keeping, Data Collection, Generative AI
初级 · 课程 · 1-4 周

Coursera
您将获得的技能: Surveys, Survey Creation, User Feedback, Case Studies, Data Quality, Research Design, User Research, Data Collection, Qualitative Research, Sampling (Statistics)
初级 · 课程 · 1-4 周