数据分析课程
数据分析课程可以帮助您学习数据可视化、统计分析和数据清洗技术。您可以培养解读复杂数据集、做出数据驱动决策和有效交流见解的技能。许多课程都会介绍 Excel、SQL 和 Tableau 等工具，这些工具支持数据分析和结果展示。您还将探索 Regression Analysis 和 A/B Testing 等方法，这些方法对于评估性能和优化策略至关重要。
热门数据解析课程与认证
Simplilearn
您将获得的技能: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Analytical Skills, Plot (Graphics), Data Analysis, Data Visualization Software, Analysis, Data-Driven Decision-Making, Scripting, Analytics, Numerical Analysis, Data Manipulation, Graphing, Product Automation, Data Processing, Programming Principles, Data Validation
University of Colorado Boulder
您将获得的技能: 数据管理, 查询语言, 数据分析, 云计算, 数据存储, 大数据, 关系数据库, 数据访问, 数据伦理, 数据采集, 分析, 分析技能, Data Management, 组织结构, 数据库, 数据质量, 商业分析, 信息系统, 组织效力, Data Governance
DeepLearning.AI
您将获得的技能: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
DeepLearning.AI
您将获得的技能: Data Storytelling, Google Sheets, Data Visualization, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Presentation, Data Visualization Software, Requirements Elicitation, LLM Application, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Business Requirements, Analytical Skills, Exploratory Data Analysis, Data-Driven Decision-Making, Productivity Software
您将获得的技能: 数据可视化, 数据库设计, 仪表板, Microsoft Excel, Ggplot2, 探索性数据分析, 交互式数据可视化, 关系数据库, Excel 公式, 数据展示, 数据整理, 分析技能, 闪亮（R 套件）, 数据可视化软件, 统计分析, 数据故事, 数据清理, 数据操作, R（软件）, 统计可视化
IBM
您将获得的技能: 数据可视化, 数据分析, 交互式数据可视化, 数据科学, Apache Hadoop, 数据仓库, Microsoft Excel, 大数据, 数据整理, 数据展示, 数据处理, 数据故事, 数据集市, 统计分析, Apache Hive, 数据清理, 数据转换, 数据导入/导出, Apache Spark, 统计可视化
是什么让您今天来到 Coursera？
University of Pennsylvania
您将获得的技能: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy
O.P. Jindal Global University
您将获得的技能: Big Data, Apache Spark, Apache Hadoop, Apache Hive, NoSQL, Database Systems, Data Mining, Cloud Applications, Cloud Solutions, Real Time Data, Cloud Computing, Data Processing, Query Languages, Distributed Computing, Applied Machine Learning, Scripting Languages, Data Manipulation
您将获得的技能: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export
您将获得的技能: Analytics, Business Analytics, Data Infrastructure, Data Ethics
DeepLearning.AI
您将获得的技能: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Statistical Programming, Analytics, Statistical Methods, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Predictive Modeling, Programming Principles, Jupyter, Python Programming, Regression Analysis
LearnQuest
您将获得的技能: 摘录, 数据可视化, 数据基础设施, 数据持久性, 数据分析, 云计算, 数据架构, 数据仓库, 数据分析软件, 数据存储, 大数据, 分析, 云部署, 云服务, 数据处理, 可扩展性, 云平台, 云基础设施
总之，以下是 10 最受欢迎的 data analytics 课程
- Data Analytics with Python: Simplilearn
- 商业数据分析入门: University of Colorado Boulder
- DeepLearning.AI Data Analytics: DeepLearning.AI
- Data Analytics Foundations: DeepLearning.AI
- 使用 Excel 和 R 进行 IBM 数据分析: IBM
- 数据分析导论: IBM
- Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
- Big Data Analytics: O.P. Jindal Global University
- Apply Data Analytics Using Python and Pandas: EDUCBA
- Introducing Data Analytics and Analytical Thinking: Google
