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：免费试用Microsoft
您将获得的技能: AI 工作流程, 计算机视觉, 负责任的人工智能, 模型部署, 机器学习, 自然语言处理, 人工智能, 微软 Azure, 预测建模, 无代码开发
状态：新状态：免费试用您将获得的技能: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis
状态：新状态：免费试用您将获得的技能: Agentic systems, Systems Architecture, API Design, Maintainability, Systems Design, Solution Architecture
状态：新状态：免费试用Creo Incubator
您将获得的技能: Negotiation, Leadership, Stakeholder Management, Change Management, Communication, Influencing, Business Communication, Persuasive Communication, Active Listening, Behavioral Economics, Strategic Communication, Organizational Strategy, Decision Making, Assertiveness, Self-Awareness
状态：新您将获得的技能: User Interface (UI), Web Content Accessibility Guidelines, Development Environment, Web Analytics and SEO
状态：免费试用您将获得的技能: 模型评估, 数据预处理, 无监督学习, 机器学习, 监督学习, 回归分析, Apache Hadoop, 数据管道, 预测建模, 生成式人工智能, 摘录, Apache Spark, 数据处理, 应用机器学习, PySpark
状态：新状态：预览您将获得的技能: Test Case, Test Automation, Test Execution Engine, Regression Testing, CI/CD, API Testing, Continuous Integration, Continuous Deployment, No-Code Development, Test Planning, Test Data, Maintainability, Debugging, Scalability
状态：新状态：免费试用您将获得的技能: Angular, Command-Line Interface
状态：免费试用Imperial College London
您将获得的技能: 微积分, 数学建模, 回归分析, 衍生产品, 线性代数, Python 程序设计, 高等数学, 机器学习算法, 人工神经网络
状态：免费试用Kennesaw State University
您将获得的技能: 数据分析, 回归分析, 概率与统计, 分析, 抽样（统计）, 统计推理, 相关性分析, 精益六西格玛, 样本量的确定, 风险分析, 统计分析, 六西格玛方法, 统计假设检验, 过程分析
状态：新状态：免费试用Alex Genadinik
您将获得的技能: Prompt Engineering, Overcoming Objections, Closing (Sales), Rapport Building, Business Ethics, Prompt Patterns, B2B Sales, Data Ethics, Multimodal Prompts, Price Negotiation, Vibe coding, Negotiation, ChatGPT, AI Personalization, Generative AI Agents, Content Performance Analysis, Video Production, Artificial Intelligence, Generative AI, Content Creation
状态：免费您将获得的技能: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases
与 statistics for data science 相关的搜索
总之，以下是 10 最受欢迎的 statistics for data science 课程
- 准备 AI-900：Microsoft Azure AI 基础知识考试: Microsoft
- Octave for Machine Learning: Data Analysis Mastery: EDUCBA
- Architect Reusable AI Agent Systems: Coursera
- Negotiations For Leaders: Creo Incubator
- HTML & CSS for Beginners – First Coding Step: Packt
- 使用 Apache Spark 进行机器学习: IBM
- Scaling No-Code Automation with Reflect: Coursera
- Angular Fundamentals and Core Concepts: Packt
- 机器学习数学多元微积分: Imperial College London
- 6σ 黑带的分析阶段: Kennesaw State University
