个结果，搜索词为 "scatter plots"
状态：免费试用您将获得的技能: 统计分析, 探索性数据分析, 箱形图, 网页抓取, 散点图, 数据操作, Looker (软件), 数据分析, Pandas（Python 软件包）, 仪表板, 数据整理, 数据转换, 柱状图, 数据可视化, IBM Cognos 分析, 数据收集
状态：新状态：免费试用您将获得的技能: Matplotlib, Data Storytelling, Data Presentation, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Data Preprocessing, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Scatter Plots, Histogram, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Image Quality, Python Programming
状态：免费试用您将获得的技能: 数据叙事, 微软Excel, 散点图, 数据可视化软件, 数据展示, 透视表和图表, 柱状图, 数据可视化, Tree 地图, 仪表板, 交互式数据可视化, 数据分析, IBM Cognos 分析, Looker (软件)
状态：新Logical Operations
您将获得的技能: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Regression Analysis, Statistical Visualization, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms
状态：新状态：免费试用您将获得的技能: Excel Macros, Data Validation, Scatter Plots, Pivot Tables And Charts, Microsoft Excel, Data Visualization, Regression Analysis, Excel Formulas, Histogram, Data Analysis, Data Integrity, Descriptive Statistics, Data Visualization Software, Spreadsheet Software, Analytics, Statistical Analysis, Data Analysis Expressions (DAX), Statistical Methods, Descriptive Analytics, Automation
状态：新Logical Operations
您将获得的技能: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
是什么让您今天来到 Coursera？
状态：免费试用Vanderbilt University
您将获得的技能: 计算机编程, 用户界面（UI）, 散点图, 预测建模, 数据可视化软件, ChatGPT, 图像分析, 数学软件, 面向对象编程（OOP）, Prompt Engineering, AI 个性化服务, 柱状图, Algorithm, 数字信号处理, 编程原则, 文件输入/输出, 数据处理, 数据分析, 应用机器学习, Matlab
状态：新状态：免费试用您将获得的技能: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming
状态：新状态：预览Universitat Politècnica de València
您将获得的技能: Pandas (Python Package), Matplotlib, Seaborn, Data Visualization, Data Visualization Software, Time Series Analysis and Forecasting, Statistical Visualization, Box Plots, Statistical Analysis, Exploratory Data Analysis, Data Analysis, Data Manipulation, Scatter Plots, Histogram, Data Structures, Python Programming
状态：新Logical Operations
您将获得的技能: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Data Visualization, Performance Tuning
状态：免费试用您将获得的技能: 箱形图, 散点图, 数据操作, Pandas（Python 软件包）, 数据可视化软件, Plotly, Matplotlib, Python 程序设计, 热图, 数据展示, 地理空间信息与技术, 数据分析, 仪表板, 交互式数据可视化, 柱状图, 数据可视化, Seaborn, Jupyter
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 scatter plots 课程
- IBM 数据分析师毕业设计项目: IBM
- Matplotlib: Python Data Visualization & Wrangling: EDUCBA
- 使用 Excel 和 Cognos 实现数据可视化和仪表板: IBM
- R Programming for Data Science: Logical Operations
- Advanced Excel Analytics, Automation & Data Analysis: EDUCBA
- Using Data Science Tools in Python: Logical Operations
- 面向工程师和科学家的 MATLAB 编程: Vanderbilt University
- Seaborn Python Data Visualization & Analysis: EDUCBA
- Visualización de datos con Python: Universitat Politècnica de València
- Python Data Science: pandas, Matplotlib, and Seaborn: Logical Operations
