Pyspark Certification Course

PySpark Course Overview

The PySpark Certification Program is specially curated to provide you with the skills and technical know-how to become a Big Data and Spark developer. Starting from the basics of Big Data and Hadoop, this Python course will boil down to cover the key concepts of the PySpark ecosystem, Spark APIs, associated tools, and PySpark Machine Learning.

What will you learn in this PySpark Course?

When you enroll in our PySpark certification course and complete the certification 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

Who should take up this PySpark certification program?

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

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.

What are the prerequisites for this PySpark certification training?

We do not enforce any prerequisite for enrolling in our PySpark training online. 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 teaching is conducted by industry experts, and under their guidance, you can easily pick up the basics of any topic/domain.

Why should you take up the PySpark training?

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 are 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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PySpark Course Curriculum

Live Course Self-Paced

Introduction to the Basics of Python

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

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Sequence and File Operations

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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

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Functions, Sorting, Errors and Exception, Regular Expressions, and Packages

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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

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Python: An OOP Implementation

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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

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Apache Spark Framework and RDDs

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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

Hands-On:

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

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PySpark SQL and Data Frames

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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

Hands-On:

Spark SQL – Creating data frames
Loading and transforming data through different sources
Spark-Hive Integration

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Apache Kafka and Flume

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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

Hands-On:

Single Broker Kafka Cluster
Multi-Broker Kafka Cluster
Topic Operations
Integrating Apache Flume and Apache Kafka

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PySpark Streaming

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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

Hands-On:

Twitter Sentiment Analysis
Streaming using Netcat server
WordCount program using Kafka-Spark Streaming
Spark-flume Integration

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Introduction to PySpark Machine Learning

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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

Hands-On:

K- Means Clustering
Linear Regression
Logistic Regression
Decision Tree
Random Forest

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PySpark Certification

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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 program is created by industry experts to help professionals gain top positions in leading organizations. Our certification program on PySpark 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 program, 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 entire program along with the projects and scores the passing marks in the quiz.

Our course completion certification in PySpark 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.

Frequently Asked Questions on PySpark

What is Intellipaat’s PySpark online classroom training?

The PySpark online classroom sessions at Intellipaat involves the simultaneous participation of learners and teachers in the online environment. As a participant, you can log in and take PySpark 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 learning 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 learning videos and other contents along with free upgrades to the latest version of the course curriculum.

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

How many 1:1 technical sessions, am I allowed during a month?

3 technical 1:1 sessions per month will be allowed.

Can I request a support session to better understand the topics?

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

Does Intellipaat offer job assistance?

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Does the job assistance guarantee me a job?

No, our job assistance is aimed at helping you land 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 hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

Pyspark Certification Course

Key Highlights

PySpark Course Overview

What will you learn in this PySpark Course?

Who should take up this PySpark certification program?

What are the prerequisites for this PySpark certification training?

Why should you take up the PySpark training?

Career Transition

PySpark Course Fees

Self Paced Training

Corporate Training