PySpark Course Online

7 Lesson

25 Hours

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igmGuru offers the best PySpark Training worldwide for individuals of all level. Our comprehensive program covers key concepts such as Spark architecture, RDDs, DataFrames, Spark SQL, Machine Learning with MLlib, data processing pipelines and many more. The modules of our PySpark certification course are designed by seasoned data engineers and big data professionals with over 15 years of industry experience.

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PySpark Course Overview

Enroll now in our PySpark course to gain hands-on experience through live interactive sessions, real-world projects, and expert mentorship. We’ve successfully trained over 500 professionals through this practical, industry-focused learning program.

Prerequisites

Basic Python Programming
Basic SQL Knowledge
Understanding of Data Structures and File Formats
Basic Understanding of Big Data Concepts
Command Line Basics

What Will You Learn

Hadoop Ecosystem Overview
PySpark vs Apache Spark
Setting up PySpark (Local and Cloud)
Lazy Evaluation in Spark
Introduction to DataFrames, Spark Configurations and Optimization: Creating DataFrames from various sources (CSV, JSON, Parquet)
Using SQL with DataFrames (Spark SQL)
Data Cleaning and Preprocessing
Handling Missing Values and Duplicates
Aggregations and Window Functions
ML Pipelines and Transformers/Estimators
Building Classification/Regression Models
Spark Configurations and Optimization
Broadcast Variables and Accumulators
Debugging and Logging

Key Features

100% Money-Back Guarantee
Flexible Schedule
24 X 7 Lifetime Support
100% Job Assistance
Get Certified & Get Placed
Experienced & Professional Trainers
24 X 7 Lifetime Support & Access
1 On 1 Training Option Available

Course Curriculum

Lesson 1 - Introduction to Big Data and PySpark

1. What is Big Data?

2. Hadoop Ecosystem Overview

3. Introduction to Apache Spark

4. PySpark vs Apache Spark

5. Setting up PySpark (Local and Cloud)

6. PySpark Shell vs Script

Lesson 2 - PySpark Basics

1. RDDs (Resilient Distributed Datasets): Creating RDDs, Transformations vs Actions, RDD Operations (map, filter, flatMap, reduce, etc.)

2. Lazy Evaluation in Spark

3. Working with Data in Memory

Lesson 3 - DataFrames and Spark SQL

1. Introduction to DataFrames

2. Creating DataFrames from various sources (CSV, JSON, Parquet)

3. DataFrame Operations: Select, Filter, GroupBy, Join

4. Using SQL with DataFrames (Spark SQL)

5. Caching and Persistence

Lesson 4 - Data Processing and Transformation

1. Data Cleaning and Preprocessing

2. Handling Missing Values and Duplicates

3. Working with Dates and Timestamps

4. Aggregations and Window Functions

5. UDFs (User-Defined Functions)

Lesson 5 - Machine Learning with PySpark (MLlib)

1. Introduction to Spark MLlib

2. ML Pipelines and Transformers/Estimators

3. Feature Engineering in PySpark

4. Building Classification/Regression Models

5. Model Evaluation and Tuning

Lesson 6 - Advanced PySpark Concepts

1. Spark Configurations and Optimization

2. Partitioning and Shuffling

3. Broadcast Variables and Accumulators

4. Performance Tuning

5. Debugging and Logging

Lesson 7 - Working with Large Data Sources

1. Reading from and Writing to: HDFS, Amazon S3, JDBC Databases

2. Integration with Hive

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 25 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 07 Jul 2026
Weekday Batch 13 Jul 2026
Weekend Batch 11 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

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PySpark Certification

Upon successful completion of the PySpark training, igmGuru provides a globally recognized course completion certificate. This certificate validates your skills in PySpark, Spark SQL, DataFrames, and Big Data processing.

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PySpark Course Online