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University of California, Santa Cruz
您将获得的技能: 编程原则, 伪代码
Coursera
您将获得的技能: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software
状态：预览The University of Chicago
您将获得的技能: 减缓气候变化, 数学建模, 环境, 热管理, 模拟, 能源与公用事业, 环境科学, 可持续发展, 适应气候变化, 物理学, 物理科学, 化学
状态：预览Nanyang Technological University, Singapore
您将获得的技能: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Blood Collection, Investigation, Case Studies, Biochemistry, Analytical Chemistry, Pharmacology, Laboratory Testing, Pathology, Molecular Biology, Deductive Reasoning, Estimation
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 竞争分析, 统计分析, 负责任的人工智能, 数据分析, 云部署, 企业战略, 云基础设施, 产品生命周期管理, 数据科学, 数字化转型, 云平台, 大数据, 云服务, 统计可视化, Apache Hadoop, 云计算架构, 云安全, 云计算, 业务转型
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, Responsible AI, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Marketing Collateral
状态：免费试用Duke University
您将获得的技能: Python 程序设计, Linux 命令, Linux, 数据科学, 云工程, SQL, MySQL, 微服务, 版本控制, Linux 管理, 数据操作, Git（版本控制系统）, 大数据, 外壳脚本, JSON, 网页抓取, Jupyter, AWS SageMaker, Pandas（Python 软件包）, Bash（脚本语言）
状态：免费试用您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
状态：免费试用Arizona State University
您将获得的技能: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Analysis, Reliability, Engineering Calculations
状态：免费试用University of Michigan
您将获得的技能: Python 程序设计, 统计分析, 统计推理, 模型评估, 统计方法, 数据可视化软件, 统计编程, 贝叶斯统计, 预测建模, 逻辑回归, 回归分析, 统计建模, Jupyter, 统计机器学习, 统计软件
状态：预览DeepLearning.AI
您将获得的技能: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, AI Enablement, Application Development, Scripting, Programming Principles, Automation, Application Programming Interface (API), Debugging, Data Structures
状态：免费试用Microsoft
您将获得的技能: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Data Architecture, Data Cleansing, Data Transformation, Database Design
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
- 面向所有人的 C 语言，第 1 部分：编程基础: University of California, Santa Cruz
- Overview of Data Visualization: Coursera
- 全球变暖 I：气候变化的科学与建模: The University of Chicago
- Introduction to Forensic Science: Nanyang Technological University, Singapore
- IBM 和达顿数字战略: IBM
- Generative AI for Sales Professionals: IBM
- 数据工程的 Python、Bash 和 SQL 要素: Duke University
- IBM Generative AI Engineering: IBM
- Materials Science for Technological Application: Arizona State University
- 用 Python 对数据拟合统计模型: University of Michigan
