Python Pandas 课程可以帮助您学习数据操作、数据分析和数据 Visualization 技术。您可以掌握处理大型数据集、执行统计分析和数据清洗以获得更好见解的技能。许多课程都会介绍 Jupyter Notebook 和 Matplotlib 等工具,这些工具支持将您的技能应用到实际数据项目中。您还将探索时间系列分析、Data Merging 和使用函数自动执行重复性任务等关键主题,从而提高数据工作流程的效率。

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
初级 · 课程 · 1-4 周

您将获得的技能: User Interface (UI), Design Thinking, UI Components, Software Design, Usability, Event-Driven Programming, Maintainability, Integrated Development Environments, User Interface (UI) Design, Payment Systems, Interactive Design, Application Design, MySQL, Jupyter, Database Application, Development Environment, Application Development, Python Programming, Transaction Processing, Microsoft Windows
初级 · 专项课程 · 1-3 个月

您将获得的技能: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment, Python Programming
混合 · 课程 · 1-4 周

您将获得的技能: Version Control, Test Script Development, Continuous Integration, Test Execution Engine, Test Tools, Automation, Scripting, Web Scraping, Hypertext Markup Language (HTML), Software Design Patterns, Development Environment, Integrated Development Environments, Debugging, Command-Line Interface, File I/O
初级 · 专项课程 · 3-6 个月

University of Michigan
您将获得的技能: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
高级设置 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Python 程序设计, 集成开发环境, 面向对象编程(OOP), 计算机视觉, 软件设计, 统一模型语言, 计算机编程, 软件工程, Jupyter, 应用编程接口 (API), 图像分析
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Embeddings, Text Mining, Data Processing, Multilingualism, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Scikit Learn (Machine Learning Library), Computer Programming, Software Installation
中级 · 课程 · 1-3 个月

您将获得的技能: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
混合 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Python 程序设计, 统计建模, 逻辑回归, 统计方法, 回归分析, 统计机器学习, 统计推理, 统计分析, 数据可视化软件, Jupyter, 模型评估, 贝叶斯统计, 统计软件, 预测建模, 统计编程
中级 · 课程 · 1-4 周

您将获得的技能: Animation and Game Design, Video Game Development, 3D Assets, Event-Driven Programming, Animations, Game Design, Graphics Software, Computer Graphics, Visualization (Computer Graphics), Interactive Design, Computer Graphic Techniques, User Interface (UI), User Interface (UI) Design, UI Components, Program Development, Python Programming, Application Design, Development Environment, Debugging, Development Testing
初级 · 专项课程 · 1-3 个月

Duke University
您将获得的技能: Scalability, Performance Analysis, Simulations, Algorithms, Complex Problem Solving, Theoretical Computer Science, Python Programming, Data Structures, Software Architecture, Software Engineering
初级 · 指导项目 · 不超过 2 小时