Python 课程
Python 课程可以帮助您学习编程基础、数据分析、网络开发和自动化技术。您可以掌握编写 Cleaning 代码、调试以及使用 Pandas 和 NumPy 等库进行数据处理的技能。许多课程还介绍了用于网络应用的 Flask 和 Django 等框架，以及用于交互式编码和可视化的 Jupyter Notebook 等工具。这些技能和工具对于解决数据科学、软件开发和人工智能方面的项目至关重要。
热门 Python 课程和认证
状态：新您将获得的技能: Financial Data, Financial Analysis, Analytics
状态：新状态：预览您将获得的技能: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
状态：免费试用Columbia University
您将获得的技能: Python 程序设计, 衍生产品, 回归分析, 应用数学, Algorithm, 数值分析, 数学建模, 精算学, 市场数据, 金融建模, 案例研究, 证券（金融）, 风险模型, 财务系统, 概率分布, 统计方法, 金融市场, 工艺优化
状态：免费试用Northwestern University
您将获得的技能: 工程计算, Matlab, 模拟, 机器人, 数学建模, 自动化工程, 控制系统
状态：免费DeepLearning.AI
您将获得的技能: Python 程序设计, Prompt Engineering, 生成式 AI 代理, ChatGPT, LangChain, 应用程序开发, LLM 申请, 工具调用
您将获得的技能: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
状态：免费试用您将获得的技能: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation
您将获得的技能: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
状态：新您将获得的技能: OpenAI API, Back-End Web Development, Model Evaluation, Model Deployment, User Interface (UI) Design, Performance Tuning, Scalability
LearnQuest
您将获得的技能: 实时数据, 商业智能, 数据管道, 数据转换, 数据整合, 数据仓库, 数据存储, 数据分析, Apache Spark, 微软 Azure, 摘录, 数据库, 大数据, 制定计划, 数据处理, 分析
您将获得的技能: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
状态：免费试用您将获得的技能: Microsoft Copilot, Prompt Engineering, GitHub, Microsoft Visual Studio, Development Environment, Computer Programming Tools, Generative AI, Software Installation
总之，以下是 10 最受欢迎的 python 课程
- Power BI Masterclass 8 -Python, Finance, and Advanced DAX: Packt
- Python: Implement & Evaluate Random Forests for ML: EDUCBA
- 定价和模型校准的计算方法: Columbia University
- 现代机器人学，课程 6： 顶点项目，移动操纵: Northwestern University
- 使用 LangChain 的功能、工具和代理: DeepLearning.AI
- Optimize TensorFlow Models For Deployment with TensorRT: Coursera
- The Complete Quantum Computing Course for Beginners: Packt
- Mining Quality Prediction Using Machine & Deep Learning: Coursera
- Create Your Own ChatGPT Clone using Python: Packt
- 使用 Azure 进行数据处理: LearnQuest
