Data Wrangling 课程
数据 Wrangling 课程可以帮助您学习数据清理、数据 Transformer 技术和数据整合方法。您可以掌握处理缺失值、重塑数据集和合并多个来源数据的技能。许多课程都会介绍 Pandas 和 NumPy 等 Python 库以及用于数据库管理的 SQL 等工具，展示这些技能如何简化分析和可视化的数据准备工作。
热门 Data Wrangling 课程和认证
状态：免费试用您将获得的技能: Tableau Software, Data Transformation, Data Integration, SQL Server Integration Services (SSIS), Data Visualization Software, Relational Databases, Data Management, Advanced Analytics, Data Manipulation, Data Analysis, Data Cleansing, Business Intelligence, Forecasting
您将获得的技能: Ggplot2, Model Evaluation, Data Visualization, Regression Analysis, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Data Analysis
状态：免费试用您将获得的技能: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
状态：免费试用Johns Hopkins University
您将获得的技能: 微积分, 应用数学, 数学软件, 数学建模, 几何学, 线性代数, 代数, 数据建模, 图形工具, 制图, 三角法
状态：预览您将获得的技能: Information Privacy, Data Governance, Law, Regulation, and Compliance, Personally Identifiable Information, General Data Protection Regulation (GDPR), Data Security, Data Management, Data Architecture, Data Strategy, Data Ethics, Metadata Management, Encryption
状态：预览Maven Analytics
您将获得的技能: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Human Resources Software, Data Manipulation, Data Analysis, Microsoft 365, Data Presentation, ChatGPT, Data Visualization, Artificial Intelligence, Generative AI, Prompt Engineering
状态：新状态：免费试用您将获得的技能: AWS Kinesis, Data Engineering, Amazon Redshift, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Apache Hive, Data Visualization Software, Cloud Storage, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, Database Architecture and Administration, AWS Identity and Access Management (IAM)
您将获得的技能: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
状态：免费试用MathWorks
您将获得的技能: 探索性数据分析, 机器学习, 数据导入/导出, 预测建模, Matlab, 数据分析, 模型评估, 数据操作, 数据科学, 数据叙事, 数据预处理, 技术交流, 功能工程
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
总之，以下是 10 最受欢迎的 data wrangling 课程
- Mastering Advanced Data and Analytics Features in Tableau: SkillUp
- Data Analysis in R: Predictive Analysis with Regression: Coursera
- Foundations of Data Analysis with Pandas and Python: Packt
- Data Science Foundations with No-Code Tools: LearnQuest
- 通过数据和建模学习微积分微积分前复习: Johns Hopkins University
- IBM Data Privacy for Information Architecture: IBM
- Microsoft Copilot for Excel: AI-Powered Data Analysis: Maven Analytics
- Data Engineering on AWS - The Complete Training: Packt
- Data Visualization using dplyr and ggplot2 in R: Coursera
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
