面向初学者的数据分析课程
初级数据分析课程可以帮助您学习数据收集技巧、基本统计概念、数据可视化和结果解释。您可以培养使用电子表格进行数据处理、创建图表进行 Visual 化呈现以及应用描述性统计来总结研究结果的技能。许多课程都会介绍 Excel、Google Sheets 等工具和 Tableau 等数据可视化软件，向您展示如何有效地分析和展示数据以支持决策。
热门初级数据分析课程和认证
您将获得的技能: PyTorch（机器学习库）, 大型语言建模, 人工智能, 拥抱的脸, 自然语言处理, 生成式对抗网络（GANs）, 数据预处理, 生成式人工智能, 生成模型架构, 递归神经网络 (RNN), 数据管道
您将获得的技能: Apache Hadoop, Extract, Transform, Load, Data Import/Export, Data Pipelines, Data Integration, Database Management, Data Architecture, Software Installation, Performance Tuning, Command-Line Interface
状态：顶级 AI 计划Imperial College London
您将获得的技能: 算法, 数学建模, 统计资料, 衍生产品, 数据预处理, 回归分析, 降维, Python 编程, 应用数学, 机器学习算法, 线性代数, 微积分, 功能工程, NumPy, 无监督学习, Jupyter, 高等数学, 人工神经网络
您将获得的技能: Data Literacy, Data Analysis, JSON, Data Transformation, Financial Data, Power BI, Data Wrangling, Data Import/Export, Automation, Business Reporting, Data Cleansing, Extract, Transform, Load, Financial Reporting, Data Structures, Data Pipelines, Data Governance, Data Integrity
您将获得的技能: Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Data Ethics, Data Loss Prevention, Security Controls, Regulatory Compliance, Compliance Management, Compliance Training, Data Integrity, Security Strategy, Regulatory Requirements, Employee Training
Duke University
您将获得的技能: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference
Arizona State University
您将获得的技能: Exploratory Data Analysis, Data Strategy, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Solution Design, Data Analysis, Needs Assessment, Gap Analysis, Requirements Analysis
您将获得的技能: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), C and C++, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Technical Design, Theoretical Computer Science
您将获得的技能: Scalability, Azure Synapse Analytics, Data Pipelines, Databases, Microsoft Azure, Data Governance, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, SQL Server Integration Services (SSIS), Data Processing, Cloud Management, Performance Tuning, Big Data, Apache Spark, Distributed Computing, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
您将获得的技能: Data Lakes, Microsoft Azure, Stored Procedure, Data Architecture, Performance Tuning, Data Management, Query Languages, Data Manipulation, Scripting, SQL, Data Processing, Windows PowerShell, Microsoft Visual Studio, Command-Line Interface, Heat Maps
Tsinghua University
您将获得的技能: Data Structures, Vector Databases, Algorithms, Theoretical Computer Science, Computer Programming, Computer Science, Performance Tuning
University of Illinois Urbana-Champaign
您将获得的技能: 计算机编程, 计划发展, 面向对象编程（OOP）, 开发环境, 数据结构, 面向对象设计, C++（编程语言）, 工程软件, 调试
总之，以下是 10 最受欢迎的 data analysis 课程
- 生成式人工智能和 LLM：架构和数据准备: IBM
- Apply Sqoop for Efficient Hadoop Data Integration: EDUCBA
- 机器学习数学: Imperial College London
- Transform Financial Data: Recall & Import: Coursera
- Data Privacy and Protection Standards: Coursera
- Data Modeling and Prediction with R: Duke University
- Extracting Value from Dark Data: ULEADD: Arizona State University
- C++: Data Structures and Algorithms: Codio
- Microsoft Big Data Management and Analytics: Microsoft
- Microsoft Azure - Data Lake: EDUCBA
