PySpark Course: Big Data Handling with Python and Apache Spark

Unlock the power of Big Data with this comprehensive PySpark course. Dive deep into handling massive datasets using Python and Apache Spark, perfect for both beginners and seasoned professionals. This course covers essential PySpark concepts, real-world applications, and hands-on projects to enhance data processing skills. Learn to manipulate large-scale data effortlessly, optimize data workflows, and implement advanced data analysis techniques. Whether aiming to boost career prospects or expand data handling expertise, this PySpark course offers the tools needed to master Big Data with confidence.

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Chapters:
00:00:00 Introduction
00:02:15 Setting up the Development Environment
00:03:58 SparkContext and SparkSession
00:07:06 Resilient Distributed Datasets (RDDs)
00:11:03 DataFrame and Dataset APIs
00:19:18 Data Cleaning and Preprocessing
00:27:02 Exploratory Data Analysis (EDA)
00:32:52 Data Transformation and Manipulation
00:37:08 Group By and Window
00:40:47 User Defined Functions
00:45:33 Machine Learning with Spark MLlib


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