数据分析 Python 课程
Python 数据分析课程可以帮助您学习数据处理、统计分析、数据可视化和数据清洗技术。您可以掌握使用 Pandas 等库进行数据处理、使用 NumPy 进行数值数据处理、使用 Matplotlib 或 Seaborn 创建信息丰富的图表的技能。许多课程还涉及探索性数据分析和预测模型等实际应用，让您能够将技能应用于真实数据集，并获得可操作的见解。
数据分析 Python 热门课程与认证
状态：免费试用您将获得的技能: 数据展示, Python 程序设计, 数据操作, 数据分析, Pandas（Python 软件包）, 网页抓取, 数据收集, Jupyter, 数据处理, 数据科学, 仪表板
状态：免费试用Rice University
您将获得的技能: 数据导入/导出, 脚本, 数据操作, Python 程序设计, 数据存储, 数据分析, 文件输入/输出, 数据结构
状态：免费试用您将获得的技能: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Data Visualization, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Wrangling, Time Series Analysis and Forecasting, Python Programming, Data Preprocessing, Data Structures, Development Environment
状态：免费试用University of Colorado Boulder
您将获得的技能: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
状态：免费试用Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
状态：预览Simplilearn
您将获得的技能: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation
状态：免费试用University of Michigan
您将获得的技能: 描述性统计, Matplotlib, 统计分析, 概率与统计, 数据可视化软件, 统计, 抽样（统计）, NumPy, 数据扫盲, 箱形图, 绘图（图形）, Python 程序设计, 数据分析, Jupyter, 数据收集, Seaborn, 统计推理, 柱状图, 探索性数据分析, 数据可视化
您将获得的技能: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
状态：免费试用DeepLearning.AI
您将获得的技能: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
状态：免费您将获得的技能: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter
状态：免费试用University of Michigan
您将获得的技能: 概率与统计, 统计分析, Matplotlib, 统计, 抽样（统计）, 绘图（图形）, 数据扫盲, 统计建模, 统计编程, 统计假设检验, Python 程序设计, 模型评估, 统计方法, 统计机器学习, 贝叶斯统计, Jupyter, Seaborn, 统计推理, 统计软件, 数据可视化
状态：免费试用Duke University
您将获得的技能: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Matplotlib, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
总之，以下是 10 最受欢迎的 python for data analysis 课程
- 数据科学 Python 项目: IBM
- Python 数据分析: Rice University
- Data Analysis with Pandas and Python: Packt
- Data Wrangling with Python: University of Colorado Boulder
- Programming for Python Data Science: Principles to Practice: Duke University
- Data Analytics with Python: Simplilearn
- 使用 Python 理解和可视化数据: University of Michigan
- Exploratory Data Analysis With Python and Pandas: Coursera
- Python for Data Analytics: DeepLearning.AI
- Clean and analyze social media usage data with Python: Coursera
