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：新您将获得的技能: Creative Thinking, Information Management, Content Management, Knowledge Transfer, Digital Publishing, Curiosity, Creative Problem-Solving, Information Architecture, File Management, Systems Thinking, Critical Thinking, Productivity Software, Responsible AI, Organizational Skills, Productivity, Writing and Editing, Collaboration, Development Environment
状态：新状态：免费试用Real Madrid Graduate School Universidad Europea
您将获得的技能: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Statistical Analysis, Pandas (Python Package), Analytical Skills, Descriptive Statistics, Data Manipulation, Probability, Data Collection, Data Capture, Restful API, Performance Measurement, Data Cleansing, Application Programming Interface (API)
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Data Visualization, Data Presentation, Data-Driven Decision-Making, Advanced Analytics, Business Analytics, AI Enablement, Business Reporting, Global Marketing, User Feedback, Regional Sales, Presentations, Key Performance Indicators (KPIs), Law, Regulation, and Compliance
状态：免费试用您将获得的技能: Generative AI, Fraud detection, AI Personalization, Predictive Analytics, Financial Services, Personalized Service, Financial Trading, Financial Reporting, FinTech, Forecasting, Compliance Management, Artificial Intelligence, Risk Analysis, Emerging Technologies, Automation
状态：新状态：免费试用Real Madrid Graduate School Universidad Europea
您将获得的技能: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Data Integration, Statistical Analysis, Pandas (Python Package), Image Analysis, Advanced Analytics, Analytical Skills, Analysis, Data-Driven Decision-Making, Case Studies, Data Manipulation, AI Enablement, Descriptive Statistics, Statistical Inference, Unsupervised Learning
状态：免费试用Duke University
您将获得的技能: Pandas（Python 软件包）, 开发环境, NumPy, 版本控制, 数据操作, Git（版本控制系统）, Python 程序设计, 软件开发工具, 数据结构, 数据分析软件, 虚拟环境
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: C++（编程语言）, 面向对象编程（OOP）, 开发环境, 面向对象设计, 计划发展, 工程软件, 计算机编程, 数据结构, 调试
The State University of New York
您将获得的技能: 工程计算, 环境问题, 能源与公用事业, 电气系统, 可持续技术, 电力系统, 基本电气系统, 技术标准, 电力, 测量系统, 建筑服务工程, 成本估算, 安全标准
状态：预览Emory University
您将获得的技能: 商业分析, 统计, Excel 公式, 商业数学, 算术, 商务, 微积分, 回归分析, 微软Excel, 描述性统计, 代数, 统计分析, 数据可视化
您将获得的技能: Program Evaluation, Smart Goals, Surveys, Goal Setting, Survey Creation, Performance Measurement, Grant Writing, Data Collection, Research Methodologies
状态：预览University of London
您将获得的技能: 数据收集, 道德标准与行为, 定性研究, 研究方法, 社会科学, 调查, 时间表, 研究, 写作, 研究设计
状态：免费试用Duke University
您将获得的技能: 面向对象编程（OOP）, 命令行界面, 应用编程接口 (API), 测试自动化, 脚本, 数据导入/导出, 软件测试, 机器学习, NumPy, 数值分析, MLOps（机器学习 Operator）, Pandas（Python 软件包）, 数据操作, 数据结构, Python 程序设计, 调试, 模型部署
总之，以下是 10 最受欢迎的 statistics for data science 课程
- Digital Note-Making for Creative Thinking with Obsidian: Packt
- Conceptos imprescindibles - Requisitos para el análisis : Real Madrid Graduate School Universidad Europea
- Automate Data Analysis and BI with No-Code AI: LearnQuest
- Introduction to Generative AI in Finance: Coursera
- Máximo rendimiento y tecnología en el deporte: Real Madrid Graduate School Universidad Europea
- 数据工程 Python 和 Pandas: Duke University
- C++ 中面向对象的数据结构: University of Illinois Urbana-Champaign
- 太阳能基础知识: The State University of New York
- MBA 和 GMAT 数学备考: Emory University
- How to Create a Program Evaluation for Your Non-Profit : Coursera
