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, 散点图, 数据可视化软件, 微软Excel, IBM Cognos 分析, Looker (软件), 数据分析, 透视表和图表, 数据展示, 交互式数据可视化, Tree 地图, 数据可视化, 柱状图, 仪表板
您将获得的技能: Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Data Entry, Data Validation, Process Analysis, Data Analysis, Data Integration, Organizational Skills, Data Management
状态：免费试用您将获得的技能: Data Literacy, Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analysis, Expectation Management, Quantitative Research, Problem Solving, Smart Goals
状态：免费试用您将获得的技能: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Virtual Networking
状态：新状态：免费试用您将获得的技能: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Python Programming, Debugging
状态：免费试用University of California, Irvine
您将获得的技能: 生产规划, 运营管理, 运筹学, 客户需求规划, 能力管理, 微软Excel, 供应链规划, 材料管理, 库存会计, 绩效衡量, 工艺优化, 库存管理系统, 容量规划, 库存管理, 库存控制, 需求规划, 资源分配, 供应链管理, 预测, 供应链
状态：免费试用您将获得的技能: Apache Hadoop, Apache Spark, 调试, Docker (软件), Kubernetes, 大数据, PySpark, Apache Hive, 分布式计算, 可扩展性, 开发环境, 数据处理, 数据转换, IBM 云, 性能调整
状态：预览Illinois Tech
您将获得的技能: Technical Communication, Data Visualization, Scientific Visualization, Technical Writing, Peer Review, Data Ethics, Persuasive Communication, Writing and Editing, Data Science, Media and Communications, Graphic and Visual Design
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：预览您将获得的技能: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
状态：免费试用Corporate Finance Institute
您将获得的技能: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)
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
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
- 使用 Excel 和 Cognos 实现数据可视化和仪表板: IBM
- Create Customer Support Data with Google Sheets: Coursera
- Ask Questions to Make Data-Driven Decisions: Google
- Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs
- PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
- 利用数据科学打造更敏捷的供应链: University of California, Irvine
- 使用 Spark 和 Hadoop 的大数据简介: IBM
- Communicating Science: Illinois Tech
- Mastering Azure Databricks for Data Engineers: Packt
- From Raw to Ready: Data Preparation in Python: Coursera
