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
Google Cloud
您将获得的技能: SQL, 谷歌工作表, 数据管道, 数据导入/导出, 大数据, 数据可视化软件, 数据分析, Looker (软件), Google 云端平台, 数据清理, 数据仓库, 数据转换, 摘录
状态：免费试用Johns Hopkins University
您将获得的技能: 统计建模, 统计, 线性代数, 回归分析, 应用数学, 数据建模, 衍生产品, 统计分析, 数据科学, R 语言程序设计（中文版）, 普通数学, 数学建模
状态：免费试用您将获得的技能: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
状态：免费试用University of Colorado Boulder
您将获得的技能: 概率与统计, 统计, 定量研究, 抽样（统计）, 统计推理, 样本量的确定, 统计假设检验, 统计方法, 数据伦理, 统计分析
状态：预览University of Toronto
您将获得的技能: 沟通, 文化多样性, 需求评估, 自我意识, 人际沟通, 社交技能, 情绪商数, 建立关系, 心理学, 同理心, 积极倾听, 自信
状态：免费试用您将获得的技能: SQL, Database Design, Database Management, Data Analysis, Database Architecture and Administration, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Data Integration, AI Enablement, Git (Version Control System), Performance Tuning
状态：免费试用University of Colorado Boulder
您将获得的技能: 线性代数, 微积分, 数值分析, 积分微积分, 应用数学, 数据科学, 衍生产品, 数学理论与分析
状态：新状态：免费试用您将获得的技能: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
状态：免费试用Corporate Finance Institute
您将获得的技能: SQL, Databases, Data Manipulation, Data Analysis, Data Cleansing, Relational Databases, Data Access, Data Synthesis, Query Languages, Data Warehousing, Data Transformation
状态：免费试用University of Pennsylvania
您将获得的技能: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy
BITS Pilani
您将获得的技能: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Theoretical Computer Science, Object Oriented Design, Android Development, Database Design, Encryption, Bioinformatics, Feature Engineering, Algorithms, TCP/IP, Operating Systems, Version Control, Java Programming, Data Structures, Model View Controller
University of Colorado Boulder
您将获得的技能: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Generative AI, Sustainable Design
与 python data science 相关的搜索
总之，以下是 10 最受欢迎的 python data science 课程
- 面向数据分析师的 BigQuery: Google Cloud
- 数据科学高级线性模型 1：最小二乘法: Johns Hopkins University
- Mastering Azure Databricks for Data Engineers: Packt
- 数据科学应用中的统计推断和假设检验: University of Colorado Boulder
- 人际关系的艺术与科学了解人类需求: University of Toronto
- SQL for Data Science (and Version Control with GitHub): Coursera
- 数据科学的积分微积分和数值分析: University of Colorado Boulder
- No-Code Machine Learning and Data Science for Everyone: LearnQuest
- SQL Fundamentals for Data Analysts: Corporate Finance Institute
- Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
