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。

Duke University
您将获得的技能: Python 编程, Git(版本控制系统), 版本控制, Microsoft 开发工具, 数据结构, Pandas(Python 软件包), 数据分析软件, 软件包和软件管理, 虚拟环境, 数据操作, 软件开发工具, 开发环境
★ 4.6 (273) · 初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
★ 4.6 (47) · 初级 · 专项课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: Python 编程, 数据整合, NumPy, 数据预处理, 数据导入/导出, 透视表和图表, 数据分析, 数据科学, 探索性数据分析, Pandas(Python 软件包), 数据处理, 数据操作, 数据可视化, 柱状图, 数据清理, 数据质量, 散点图, 数据整理, 数据可视化软件, Matplotlib
★ 4.5 (430) · 初级 · 课程 · 1-4 周

您将获得的技能: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Structures, Financial Forecasting, Data Presentation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Descriptive Statistics, Project Documentation
中级 · 课程 · 1-4 周

您将获得的技能: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export
初级 · 课程 · 1-3 个月

Red Hat
您将获得的技能: Object Oriented Programming (OOP), File I/O, JSON, Python Programming, Debugging, Object Oriented Design, Data Structures, Red Hat Enterprise Linux, Programming Principles, Statistical Programming, Web Development, Program Development, Scripting, Integrated Development Environments, Development Environment, Software Installation
中级 · 课程 · 3-6 个月

Coursera
您将获得的技能: Seaborn, Data Storytelling, Data Visualization, Data Presentation, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Social Media Analytics, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
★ 4.3 (90) · 初级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: Python 编程, 数据科学, 数据收集, 数据分析, 仪表板创建, 分析技能, 数据整理, Jupyter, 网络抓取, Pandas(Python 软件包), 数据可视化软件, 制图, 数据展示
★ 4.5 (4874) · 中级 · 课程 · 1-4 周

您将获得的技能: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Programming Principles, Software Versioning, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis
初级 · 课程 · 1-4 周

Vanderbilt University
您将获得的技能: Generative AI Agents, Agentic Workflows, AI Workflows, Agentic systems, LLM Application, Tool Calling, OpenAI, Prompt Engineering, Application Development, Large Language Modeling, Software Documentation, File I/O, Memory Management, File Management
★ 4.6 (421) · 初级 · 课程 · 1-3 个月

您将获得的技能: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Integrated Development Environments, Python Programming
★ 4.5 (32) · 初级 · 专项课程 · 3-6 个月

您将获得的技能: Package and Software Management, Data Science, Exploratory Data Analysis, Computer Programming, Mathematical Software
★ 4.7 (83) · 初级 · 课程 · 1-4 周