学习路径描述

使用 PySpark 处理大数据

通过掌握 Apache Spark 提升你的数据技能。使用 Spark Python API PySpark，您将利用并行计算处理大型数据集，并为高性能机器学习做好准备。从清理数据到创建特征并实施机器学习模型，你将使用 Spark 执行端到端工作流。该学习路径以使用流行的 MovieLens 数据集和 Million Songs 数据集构建推荐引擎作为结尾。

先决条件

此学习路径无先决条件

Course
1
PySpark 入门
精通 PySpark，轻松处理大数据——学习处理、查询和优化海量数据集，释放强大分析能力！
Course
3
Big Data Fundamentals with PySpark
Learn the fundamentals of working with big data with PySpark.
Course
4
Cleaning Data with PySpark
Learn how to clean data with Apache Spark in Python.
Course
5
Feature Engineering with PySpark
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Course
6
Machine Learning with PySpark
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Course
7
Building Recommendation Engines with PySpark
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Project
额外
Building a Demand Forecasting Model
Use PySpark to build an e-commerce forecasting model!