Data Science 统计学课程
数据科学统计学课程可以帮助您学习数据 Visualization、假设检验、Regression Analysis 和概率论。您可以掌握解释数据趋势、进行预测和 A/B Testing 的技能。许多课程会介绍 R、Python 和 SQL 等工具，这些工具支持分析数据集和实施统计模型。通过使用这些工具，您可以有效地将统计方法应用到现实世界的数据挑战中，从而提高您得出有意义见解的能力。
数据科学的热门统计学课程和认证
状态：新状态：预览您将获得的技能: API Testing, Test Automation, Test Case, Test Execution Engine, Application Programming Interface (API), Regression Testing, System Monitoring, Restful API, Continuous Integration, Scenario Testing, Debugging, Continuous Delivery, Jenkins, CI/CD, Test Data, Azure DevOps, Query Languages, Data Validation
状态：新状态：免费试用MathWorks
您将获得的技能: User Interface and User Experience (UI/UX) Design, Data Sharing
状态：免费试用Tableau Learning Partner
您将获得的技能: Data Governance, 关系数据库, 电子表格软件, 数据伦理, 数据湖, 数据仓库, 数据库管理, 数据建模, 数据存储, Tableau 软件, 数据管理, Data Management, 数据基础设施, 摘录, 数据完整性, 数据质量, 数据库, 商业智能, 数据架构, 数据扫盲
状态：预览Universidad ORT Uruguay
您将获得的技能: Video Game Development, Software Engineering, Program Development, Programming Principles, Software Testing, Animation and Game Design, Software Development, Event-Driven Programming, Computer Programming, Computational Thinking, Debugging
状态：新状态：免费试用您将获得的技能: React.js, Bootstrap (Front-End Framework), UI Components, HTML and CSS, Cascading Style Sheets (CSS), Application Programming Interface (API), User Interface (UI), Javascript, Web Development Tools, Network Routing, Event-Driven Programming, Data Validation, Debugging
状态：新状态：免费试用您将获得的技能: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms
您将获得的技能: Financial Statements, Microsoft Excel, Excel Formulas, Balance Sheet, Ledgers (Accounting), Financial Data, Bookkeeping, Financial Reporting, Financial Accounting, Profit and Loss (P&L) Management
状态：免费试用University of California, Davis
您将获得的技能: 经济学, 社会学, 模型评估, 计算机编程, 科学方法, 代理系统, 社交网络分析, 社会科学, 模拟, 系统思考
状态：免费试用University of Washington
您将获得的技能: 信息图表, 简明扼要, 同行评审, 写作, 叙事, 演讲, 表演艺术, 建设性反馈, 行动导向, 可信度, 沉着, 沟通, 语言交流技能, 公开演讲, 说服沟通, 推动参与, 图表设计, 激励技能, 非语言交流, 沟通策略
您将获得的技能: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing
状态：新您将获得的技能: Computational Thinking, Data Storage
您将获得的技能: Canva (Software), Design, Digital Design, Design Elements And Principles, Product Design, Color Theory, Graphic Design, Intellectual Property, Product Promotion, E-Commerce, Digital Assets, Marketing, Marketing Collateral
总之，以下是 10 最受欢迎的 statistics for data science 课程
- Advanced Tricentis Tosca Automation Strategies: Coursera
- Creating Custom Apps in MATLAB: MathWorks
- 数据生态系统: Tableau Learning Partner
- ¡A Programar! Una introducción a la programación: Universidad ORT Uruguay
- React Fundamentals, Components, and State Management: Packt
- Design Ethical AI Rewards and Policies: Coursera
- Create a Financial Statement using Microsoft Excel: Coursera
- 计算机模拟: University of California, Davis
- 动态公开演讲: University of Washington
- Principal Component Analysis with NumPy: Coursera
