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
您将获得的技能: 开放源码技术, 可扩展性, Kubernetes, 调试, Apache Hive, PySpark, Apache Hadoop, Apache Spark, 大数据, 性能调整, Docker (软件), 数据转换, 分布式计算, 开发环境, 数据处理, IBM 云计算
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, Data Access, Apache, Python Programming
您将获得的技能: PySpark, MySQL, Data Pipelines, Apache Spark, Data Access, Data Processing, Data Engineering, SQL, Data Transformation, Data Manipulation, Distributed Computing, Data Import/Export, Programming Principles, Python Programming, Debugging
Edureka
您将获得的技能: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Manipulation, Data Analysis, Exploratory Data Analysis, Python Programming
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
您将获得的技能: Apache Spark, PySpark, Databricks, Data Processing, Big Data, Apache, Real Time Data, Model Training, Python Programming, Model Evaluation, Data Manipulation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing
是什么让您今天来到 Coursera？
您将获得的技能: 生成式人工智能, 摘录, 机器学习方法, 数据库, 数据库管理, 数据库系统, PySpark, Apache Hadoop, Apache Hive, Apache Spark, NoSQL, 机器学习, Model Evaluation, 大数据, 应用机器学习, 模型评估, 数据库管理系统, 数据库软件, 数据库开发, MongoDB
Edureka
您将获得的技能: PySpark, Model Optimization, Data Pipelines, Dashboard Creation, Dashboard, Interactive Data Visualization, Model Training, Data Processing, Data Storage Technologies, Data Architecture, Natural Language Processing, Data Storage, Data Wrangling, Data Integration, Data Transformation, Machine Learning, Data Preprocessing, Deep Learning, Logistic Regression
您将获得的技能: 生成式人工智能, 无监督学习, 摘录, 监督学习, Apache Hadoop, Apache Spark, 模型部署, 数据管道, 机器学习, Model Evaluation, 回归分析, 数据转换, 模型评估, 预测建模, 数据处理, 分类算法
IBM
您将获得的技能: 生成式人工智能, 无监督学习, Prompt Engineering, 生成模型架构, 计算机视觉, 及时工程, Python 编程, 数据科学, PySpark, Keras（神经网络库）, Apache Spark, 微调, 机器学习, Model Evaluation, Transfer Learning, 大型语言建模, 矢量数据库, 迁移学习, 模型评估, 视觉转换器（ViT）, 及时的工程工具, PyTorch（机器学习库）, 检索-增强生成
您将获得的技能: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Infrastructure, Cloud Engineering, Data Architecture, Performance Tuning, Unit Testing, Data Transformation, Data Processing, Data Validation, Real Time Data, Big Data, Data Integrity
您将获得的技能: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Pipelines, Data Processing, Data Import/Export, Linux Commands, Linux, File Systems, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Software Installation, Java, C++ (Programming Language)
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
- PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
- Introduction to PySpark: Edureka
- 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
- 使用 Apache Spark 进行机器学习: IBM
- IBM 人工智能工程: IBM
