PySpark 课程
PySpark 课程可以帮助您学习数据操作、分布式计算和数据分析技术。您可以掌握处理大型数据集、执行 Transformer 和执行 Machine Learning 算法的技能。许多课程都会介绍 Apache Spark 及其库等工具，这些工具支持高效处理 Big Data 并与 AI 应用程序集成。
热门 PySpark 课程和认证
状态：免费试用您将获得的技能: 数据转换, Docker (软件), PySpark, 分布式计算, 调试, Kubernetes, 大数据, Apache Hive, 数据处理, Apache Spark, 可扩展性, 开发环境, 性能调整, IBM 云, Apache Hadoop
状态：免费试用您将获得的技能: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
状态：预览Edureka
您将获得的技能: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability
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
Coursera
您将获得的技能: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
状态：新您将获得的技能: Apache Spark, PySpark, Databricks, Data Pipelines, Data Processing, Big Data, Apache, Real Time Data, Python Programming, Model Evaluation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 机器学习, 数据管道, PySpark, 监督学习, 生成式人工智能, 大数据, MongoDB, Model Evaluation, Kubernetes, 机器学习算法, Apache Spark, Apache Hive, NoSQL, 分布式计算, Apache Hadoop, Apache Cassandra, 数据库, 摘录, 应用机器学习, IBM 云
状态：免费试用Edureka
您将获得的技能: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression
状态：免费试用IBM
您将获得的技能: 机器学习, 大型语言模型, 视觉转换器（ViT）, Model Evaluation, LLM 申请, 无监督学习, PySpark, PyTorch（机器学习库）, 生成式人工智能, 监督学习, 矢量数据库, 检索-增强生成, 生成模型架构, Transfer Learning, Prompt Engineering, 数据科学, 计算机视觉, Apache Spark, Keras（神经网络库）, Python 程序设计
状态：免费试用您将获得的技能: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)
状态：免费试用您将获得的技能: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis
状态：免费试用您将获得的技能: 机器学习, 数据管道, 数据转换, 监督学习, 无监督学习, PySpark, 生成式人工智能, Model Evaluation, 回归分析, 分类算法, 数据处理, Apache Spark, Apache Hadoop, 摘录, 应用机器学习
总之，以下是 10 最受欢迎的 pyspark 课程
- 使用 Spark 和 Hadoop 的大数据简介: IBM
- Spark and Python for Big Data with PySpark: EDUCBA
- Introduction to PySpark: Edureka
- PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
- Data Analysis Using Pyspark: Coursera
- Databricks Associate Developer: Apache Spark with Python: Packt
- NoSQL、大数据和 Spark 基础: IBM
- PySpark for Data Science: Edureka
- IBM 人工智能工程: IBM
- Hadoop and Spark Fundamentals: Pearson
