Python 数据科学课程
Python 数据科学课程可以帮助您学习数据操作、统计分析、机器学习和数据 Visualization。您可以培养使用 Python 编程、使用 Pandas 和 NumPy 等库以及应用算法解决实际问题的技能。许多课程都会介绍一些工具，如用于交互式编码的 Jupyter Notebook、用于创建可视化的 Matplotlib 和用于实现机器学习模型的 Scikit-learn 等，所有这些工具都能提高您分析和解释复杂数据集的能力。
热门 Python 数据科学课程和认证
状态：免费试用您将获得的技能: 数据叙事, 数据操作, 描述性统计, 数据可视化软件, Tableau 软件, 统计, 相关性分析, 数据清理, 透视表和图表, SQL, 电子表格软件, 数据分析, 仪表板, 探索性数据分析, 谷歌工作表, 数据可视化
状态：免费您将获得的技能: Python 程序设计, 数据可视化软件, Matplotlib, 数据分析, 生成式人工智能, ChatGPT, Pandas（Python 软件包）, 数据驱动的决策制定, 交互式数据可视化, 仪表板, 分析
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：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
状态：新状态：免费试用您将获得的技能: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
状态：新状态：免费试用您将获得的技能: Programming Principles, Data Dictionary, Computational Logic, Data Cleansing, Data Structures, Python Programming, Pseudocode, Data Manipulation, Debugging
状态：免费您将获得的技能: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases
您将获得的技能: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)
状态：新状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
状态：免费试用Duke University
您将获得的技能: 概率与统计, 统计建模, 统计方法, 统计分析, 同行评审, R 语言程序设计（中文版）, 统计, 概率分布, 抽样（统计）, 数据分析, 贝叶斯统计, 概率, 统计报告, 探索性数据分析, 数据分析软件, 数据可视化, 回归分析, R（软件）, 统计假设检验, 统计推理
状态：免费试用University of Colorado Boulder
您将获得的技能: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication
总之，以下是 10 最受欢迎的 python data science 课程
- 使用电子表格和 SQL 进行数据分析: Meta
- 使用 ChatGPT 实现数据 Visualization：用 Python 制作 Dashboard: Coursera
- Data Analysis with Pandas and Python: Packt
- Data Science Fundamentals Part 2: Unit 1: Pearson
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- Data Science Fundamentals Part 1: Unit 2: Pearson
- Mastering Python Logic and Data Structures: EDUCBA
- Analyze Data in a Model Car Database with MySQL Workbench: Coursera
- Exploratory vs Confirmatory data analysis using Python: Coursera
- Data Science Fundamentals Part 2: Unit 2: Pearson
