Mastering Big Data with PySpark

Mastering Big Data with PySpark

Beginner

48 Lessons

12h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

79 Playgrounds
5 Quizzes

This course includes

79 Playgrounds
5 Quizzes

Course Overview

This course explores the big data ecosystem, focusing on hands-on utilization of PySpark—the Python API for Apache Spark. In this course, you’ll experience a balanced blend of theory and practice. You’ll learn about data ingestion, storage, distributed computing, PySpark’s intricacies, data processing, data analysis, performance optimization, tool integration, and practical applications like machine learning. This course, suited for beginners to intermediate learners, will give you an understanding of b...Show More

TAKEAWAY SKILLS

Python 3

What You'll Learn

An understanding of the big data ecosystem, including data ingestion, integration methods, and big data storage options

A working knowledge of distributed computing fundamentals, covering parallel processing, partitioning strategies, and load balancing methodologies

The ability to utilize PySpark for diverse data operations, including processing, transformation, and analysis

Familiarity with basic and advanced data types, Spark SQL, machine learning algorithms, and data mining within PySpark

A working knowledge of PySpark's integration capabilities with various big data tools, such as Hadoop, Kafka, Hive, and others

What You'll Learn

An understanding of the big data ecosystem, including data ingestion, integration methods, and big data storage options

Show more

Course Content

1.

Introduction to the Course

2.

Introduction to Big Data

3.

Exploring PySpark Core and RDDs

4.

PySpark DataFrames and SQL

5.

Customer Churn Analysis Using PySpark

6.

Machine Learning with PySpark

6 Lessons

7.

Modeling with PySpark MLlib

5 Lessons

8.

Predicting Diabetes in Patients Using PySpark MLlib

3 Lessons

9.

Performance Optimization in PySpark

5 Lessons

10.

PySpark Optimization: Analyzing NYC Restaurants Data

3 Lessons

11.

Integrating PySpark with Other Big Data Tools

4 Lessons

12.

Wrap Up

1 Lesson

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