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Pyspark Training Course

4.8 ( 512 ) Ratings

Intellipaat's PySpark course is designed to help you understand the PySpark concept and develop custom, feature-rich applications using Python and Spark. Our PySpark training courses are conducted online by leading PySpark experts working in top MNCs. During this PySpark course, you will gain in-depth knowledge of Apache Spark and related ecosystems, including Spark Framework, PySpark SQL, PySpark Streaming, and more. In addition, you can work in a virtual lab and run real-time projects to get hands-on experience with PySpark.

Key Highlights

24 Hrs Instructor Led Training
22 Hrs Self-paced Videos
60 Hrs Project & Exercises
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

PySpark Training Overview

What will you learn in this PySpark online training?

When you enroll in our PySpark certification course and complete the training program, you will:

  • Become familiar with Apache Spark, its applicability and Spark 2.0 architecture
  • Gain hands-on expertise with the various tools in the Spark ecosystem, including Spark MLlib, Spark SQL, Kafka, Flume and Spark Streaming
  • Understand the architecture of RDD, lazy evaluation, etc.
  • Learn how to change the architecture of the DataFrame and how to interact with it using Spark SQL
  • Build various APIs that work with Spark DataFrame
  • Pick up the skills to aggregate, filter, sort and transform data using DataFrame

Big Data analytics is experiencing constant growth, thus, providing an excellent opportunity for all IT kinds of IT/ITES professionals. Thus, learning PySpark is an outstanding career transition. Further, professional hailing from the following domains can enroll in our PySpark course:

  • Software developers and architects
  • ETL and DW professionals
  • BI experts
  • Senior IT expert
  • Mainframe developers
  • Data Science engineers
  • Big data engineers, developers, and architects, etc.

We do not enforce any prerequisite for enrolling in our PySpark online training. However, basic programming skills can help you speed up your learning. However, you can still join our PySpark Certification Program without any extensive programming experience. Our online real-time training is conducted by industry experts, and under their guidance, you can easily pick up the basics of any topic/domain.

  • In the US, Data Spark Developer has an average annual salary of $150,000 – Neuvoo
  • The average salary range for “Apache Spark Developers” is from US$92,176 a year for the developer to $126,114 a year for back-end developers. – Indeed
  • Big data market revenue is expected to grow from $42 billion (2018) to $103 billion in 2027! – Forbes
  • 79% of company executives say that companies that do not embrace Big Data are losing market control and may become non-existent – Accenture

Almost all the companies that rely on Big Data, use Spark as part of their solution strategy. Therefore, the job requirements in either Big Data or PySpark is not going to reduce in the upcoming years. So, “now,” is the perfect time to upskill your PySpark learning and enroll yourself in a recognized PySpark training course.

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Career Transition

57% Average Salary Hike

$1,28,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Course Fees

Self Paced Training

  • 22 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade


Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 24 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attended as many batches as you want for Lifetime
  • Job Assistance
27 Nov


08:00 PM TO 11:00 PM IST (GMT +5:30)

04 Dec


08:00 PM TO 11:00 PM IST (GMT +5:30)

12 Dec


08:00 PM TO 11:00 PM IST (GMT +5:30)

$400 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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PySpark Course Content

Live Course

Introduction to the Basics of Python

  • Explaining Python and Highlighting Its Importance
  • Setting up Python Environment and Discussing Flow Control
  • Running Python Scripts and Exploring Python Editors and IDEs

Sequence and File Operations

  • Defining Reserve Keywords and Command Line Arguments
  • Describing Flow Control and Sequencing
  • Indexing and Slicing
  • Learning the xrange() Function
  • Working Around Dictionaries and Sets
  • Working with Files
  • Explaining Functions and Various Forms of Function Arguments
  • Learning Variable Scope, Function Parameters, and Lambda Functions
  • Sorting Using Python
  • Exception Handling
  • Package Installation
  • Regular Expressions
  • Using Class, Objects, and Attributes
  • Developing Applications Based on OOP
  • Learning About Classes, Objects and How They Function Together
  • Explaining OOPs Concepts Including Inheritance, Encapsulation, and Polymorphism, Among Others
  • Debugging Python Scripts Using pdb and IDE
  • Classifying Errors and Developing Test Units
  • Implementing Databases Using SQLite
  • Performing CRUD Operations
  • What is Big Data?
  • 5 V’s of Big Data
  • Problems related to Big Data: Use Case
  • What tools available for handling Big Data?
  • What is Hadoop?
  • Why do we need Hadoop?
  • Key Characteristics of Hadoop
  • Important Hadoop ecosystem concepts
  • MapReduce and HDFS
  • Introduction to Apache Spark
  • What is Apache Spark?
  • Why do we need Apache Spark?
  • Who uses Spark in the industry?
  • Apache Spark architecture
  • Spark Vs. Hadoop
  • Various Big data applications using Apache Spark
  • Introduction to PySpark
  • Who uses PySpark?
  • Why Python for Spark?
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Numbers
  • Python files I/O Functions
  • Strings and associated operations
  • Sets and associated operations
  • Lists and associated operations
  • Tuples and associated operations
  • Dictionaries and associated operations


  • Demonstrating Loops and Conditional Statements
  • Tuple – related operations, properties, list, etc.
  • List – operations, related properties
  • Set – properties, associated operations
  • Dictionary – operations, related properties
  • Functions
  • Lambda Functions
  • Global Variables, its Scope, and Returning Values
  • Standard Libraries
  • Object-Oriented Concepts
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways


  • Lambda – Features, Options, Syntax, Compared with the Functions
  • Functions – Syntax, Return Values, Arguments, and Keyword Arguments
  • Errors and Exceptions – Issue Types, Remediation
  • Packages and Modules – Import Options, Modules, sys Path
  • Spark Components & its Architecture
  • Spark Deployment Modes
  • Spark Web UI
  • Introduction to PySpark Shell
  • Submitting PySpark Job
  • Writing your first PySpark Job Using Jupyter Notebook
  • What is Spark RDDs?
  • Stopgaps in existing computing methodologies
  • How RDD solve the problem?
  • What are the ways to create RDD in PySpark?
  • RDD persistence and caching
  • General operations: Transformation, Actions, and Functions
  • Concept of Key-Value pair in RDDs
  • Other pair, two pair RDDs
  • RDD Lineage
  • RDD Persistence
  • WordCount Program Using RDD Concepts
  • RDD Partitioning & How it Helps Achieve Parallelization
  • Passing Functions to Spark


  • Building and Running Spark Application
  • Spark Application Web UI
  • Loading data in RDDs
  • Saving data through RDDs
  • RDD Transformations
  • RDD Actions and Functions
  • RDD Partitions
  • WordCount program using RDD’s in Python
  • Need for Spark SQL
  • What is Spark SQL
  • Spark SQL Architecture
  • SQL Context in Spark SQL
  • User-Defined Functions
  • Data Frames
  • Interoperating with RDDs
  • Loading Data through Different Sources
  • Performance Tuning
  • Spark-Hive Integration


  • Spark SQL – Creating data frames
  • Loading and transforming data through different sources
  • Spark-Hive Integration
  • Why Kafka
  • What is Kafka?
  • Kafka Workflow
  • Kafka Architecture
  • Kafka Cluster Configuring
  • Kafka Monitoring tools
  • Basic operations
  • What is Apache Flume?
  • Integrating Apache Flume and Apache Kafka


  • Single Broker Kafka Cluster
  • Multi-Broker Kafka Cluster
  • Topic Operations
  • Integrating Apache Flume and Apache Kafka
  • Introduction to Spark Streaming
  • Features of Spark Streaming
  • Spark Streaming Workflow
  • StreamingContext Initializing
  • Discretized Streams (DStreams)
  • Input DStreams, Receivers
  • Transformations on DStreams
  • DStreams Output Operations
  • Describe Windowed Operators and Why it is Useful
  • Stateful Operators
  • Vital Windowed Operators
  • Twitter Sentiment Analysis
  • Streaming using Netcat server
  • WordCount program using Kafka-Spark Streaming


  • Twitter Sentiment Analysis
  • Streaming using Netcat server
  • WordCount program using Kafka-Spark Streaming
  • Spark-flume Integration
  • Introduction to Machine Learning- What, Why and Where?
  • Use Case
  • Types of Machine Learning Techniques
  • Why use Machine Learning for Spark?
  • Applications of Machine Learning (general)
  • Applications of Machine Learning with Spark
  • Introduction to MLlib
  • Features of MLlib and MLlib Tools
  • Various ML algorithms supported by MLlib
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • ML workflow utilities


  • K- Means Clustering
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
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Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!


PySpark Certification

Intellipaat’s PySpark course is designed to help you gain insight into the various PySpark concepts and pass the CCA Spark and Hadoop Developer Exam (CCA175). The entire course is created by industry experts to help professionals gain top positions in leading organizations. Our online training is planned and conducted according to the requirements of the certification exam.

In addition, industry-specific projects and hands-on experience with a variety of Spark tools can help you accelerate your learning. After completing the training, you will be asked to complete a quiz, which is based on the questions asked in the PySpark certification exam. Besides, we also award each candidate with Intellipaat PySpark Course Completion Certificate after he/she completes the training program along with the projects and scores the passing marks in the quiz.

Our course completion certification is recognized across the industry and many of our alumni work at leading MNCs, including Sony, IBM, Cisco, TCS, Infosys, Amazon, Standard Chartered, and more.

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Frequently Asked Questions on PySpark

What is Intellipaat’s PySpark online classroom training?

The PySpark online classroom training Intellipaat involves the simultaneous participation of learners and teachers in the online environment. As a participant, you can log in and take classes from anywhere, without having to be present in person. Moreover, all sessions are recorded and made accessible via the LMS within 24 hours of the training session. This PySpark online training combines live instructor-led training, self-paced classes, online videos, 24/7 live support, and multiple assignments. Further, we provide lifetime access to our training videos and other contents along with free upgrades to the latest version of the course curriculum.

After completing this course, your PySpark skills will be equivalent to a professional with 6-month experience in the same industry.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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