个结果，搜索词为 "stata (software)"
您将获得的技能: Data Analysis Expressions (DAX), Power BI, Pivot Tables And Charts, Microsoft Excel, R Programming, Alteryx, Dashboard, Statistical Programming, Data Transformation, Tableau Software, Data Cleansing, Data Presentation, Data Visualization Software, Interactive Data Visualization, Debugging, Data Visualization, Automation, Python Programming, Data Structures, Statistical Analysis
您将获得的技能: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Quantitative Research, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Data Analysis
您将获得的技能: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation
您将获得的技能: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Correlation Analysis, Data Analysis, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Statistical Visualization, Scatter Plots, Probability & Statistics, Data Preprocessing, Data Visualization Software
您将获得的技能: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning
Packt
您将获得的技能: Stata, STATA (Software), Scripting, Graphing, Data Visualization Software, Data Manipulation, Statistical Methods, Data Analysis, Data Management, Statistical Programming, Data Presentation, Debugging, Data Import/Export, Data Integrity
是什么让您今天来到 Coursera？
您将获得的技能: Seaborn, Data Storytelling, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Statistical Methods, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Data Presentation, Matplotlib, Data Visualization, Pandas (Python Package), Version Control, GitHub, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
University of Minnesota
您将获得的技能: 软件开发工具, 黄瓜（软件）, 验证和确认, 开发测试, 行为驱动开发, 白盒测试, JUnit, 系统测试, 测试案例, 可测试性, 硒（软件）, 代码覆盖范围, 开放式网络应用程序安全项目（OWASP）, Gherkin（脚本语言）, 单元测试, 回归测试, 软件测试, 性能测试, 安全测试, 测试自动化
您将获得的技能: Classification And Regression Tree (CART), Data-Driven Decision-Making, Minitab, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Case Studies, Business Analytics, Decision Tree Learning, Predictive Analytics, Estimation, Statistical Visualization, Probability & Statistics, Microsoft Excel, Statistical Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Statistics, Analytical Skills
您将获得的技能: SQL, SAS (Software), Stored Procedure, Metadata Management, Data Integrity, Query Languages, Relational Databases, Data Manipulation, Data Analysis Software, Data Transformation, Data-Driven Decision-Making, Performance Tuning, Data Governance, Scripting, Debugging, Data Wrangling, Database Management, Data Analysis, Computational Logic, Data Management
University of Michigan
您将获得的技能: 概率与统计, 统计编程, 抽样（统计）, 贝叶斯统计, 绘图（图形）, 统计假设检验, 数据扫盲, 模型评估, 统计资料, 统计建模, 统计方法, Python 编程, Matplotlib, 数据可视化, Seaborn, 统计分析, 统计推理, 统计软件, 统计机器学习, Jupyter
您将获得的技能: Git（版本控制系统）, 应用程序部署, Grafana, 测试驱动开发（TDD）, 持续集成, Istio, 开放式网络应用程序安全项目（OWASP）, CI/CD, 数据导入/导出, 软件工程, 软件架构, Kubernetes, 软件开发生命周期, Linux 命令, 云计算架构, 应用程序开发, 用户故事, 云部署, DevOps, 恢复性应用程序接口
总之，以下是 10 最受欢迎的 stata (software) 课程
- Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
- Analyze and Apply R for Data Analytics: EDUCBA
- The STATA OMNIBUS: Regression and Modelling with STATA: Packt
- Apply Advanced Statistical Modeling Using SPSS : EDUCBA
- Analyze Data Using R for Statistical Analytics: EDUCBA
- 120 Quick Stata Tips: Packt
- Python for Real-World Data Analysis: Coursera
- 软件测试和自动化: University of Minnesota
- Apply Statistical Data Analysis with Minitab: EDUCBA
- Apply and Analyze Data Using SAS PROC SQL: EDUCBA
