Datacamp – Big Data with PySpark 2024-8

Big Data with PySpark, Advance your data skills by mastering Apache Spark. Using the Spark Python API, PySpark, you will leverage parallel computation with large datasets, and get ready for high-performance machine learning. From cleaning data to creating features and implementing machine learning models, you’ll execute end-to-end workflows with Spark. The track ends with building a recommendation engine using the popular MovieLens dataset and the Million Songs dataset.

What you’ll learn

• Learn to implement distributed data management and machine learning in Spark using the PySpark package.
• Learn the fundamentals of working with big data with PySpark.
• Learn how to clean data with Apache Spark in Python.
• Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
• Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Specificatoin of Big Data with PySpark

• Publisher : Datacamp
• Teacher : Lore Dirick
• Language : English
• Level : All Levels
• Number of Course : 6
• Duration : 25 hours and 0 minutes

Content of Big Data with PySpark

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Big Data Fundamentals with PySpark

Download – 91 MB

Building Recommendation Engines with PySpark

Download – 79 MB

Cleaning Data with PySpark

Download – 56 MB

Feature Engineering with PySpark

Download – 75 MB

Introduction to PySpark

Download – 272 KB

Machine Learning with PySpark

Download – 106 MB

Password file(s): www.downloadly.ir

File size

409 MB