数据处理课程
数据处理课程可以帮助您学习数据清洗、转换技术和探索性数据分析。您可以掌握使用函数进行数据聚合、过滤数据集和有效实现信息 Visualization 的技能。许多课程都会介绍 Python、R 和 SQL 等工具，这些工具支持处理大型数据集和执行复杂的分析。您还将探索 Pandas 和 NumPy 等库，它们可简化数据处理任务，提高您从原始数据中获得洞察力的能力。
热门数据处理课程和认证
状态：免费试用University of California San Diego
您将获得的技能: Python 程序设计, Flask（网络框架）, 机器学习, 数据操作, 模型部署, 预测建模, MLOps（机器学习 Operator）, Django （网络框架）, 应用程序部署, 数据预处理, 网络应用
您将获得的技能: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
状态：预览Board Infinity
您将获得的技能: Pivot Tables And Charts, Dashboard, Data Presentation, Data Visualization, Spreadsheet Software, Data Storytelling, Data Visualization Software, Excel Formulas, Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Validation
状态：免费试用University of Michigan
您将获得的技能: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming
状态：免费Coursera
您将获得的技能: Python 程序设计, 机器学习, 数据操作, 生成式人工智能, 实时数据, 模型评估, 非结构化数据, JSON, 性能指标, 大型语言模型, 数据预处理, OpenAI 应用程序接口, OpenAI
您将获得的技能: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming
您将获得的技能: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
状态：免费您将获得的技能: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
状态：预览Coursera
您将获得的技能: 数据叙事, 探索性数据分析, 机器学习, 数据驱动的决策制定, 生成式人工智能, 负责任的人工智能, 商业智能, 数据扫盲, 项目实施, 商业分析, 业务流程自动化, 数据伦理
状态：免费试用您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
状态：免费Coursera
您将获得的技能: Python 程序设计, 数据操作, AI 个性化服务, 探索性数据分析, 生成式人工智能, OpenAI 应用程序接口, 数据预处理, 嵌入, 数据可视化, OpenAI, 降维, 数据分析
状态：新状态：免费试用您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
总之，以下是 10 最受欢迎的 data manipulation 课程
- 部署机器学习模型: University of California San Diego
- Where, Why, and How of Lambda Functions in Python : Coursera
- Excel Essentials and Beyond: Board Infinity
- Python Debugging Capstone Project: Fixing and Extending Code: University of Michigan
- 用于商业分析的 GenAI：微调 LLMs: Coursera
- Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera
- Build a Machine Learning Web App with Streamlit and Python: Coursera
- Machine Learning with PySpark: Recommender System: Coursera
- 面向商业智能分析师的 GenAI: Coursera
- AI Workflow: Enterprise Model Deployment: IBM
