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GreaterHeight Technologies LLC ~ GreaterHeight Academy
  • All Courses
    • BI and Visualization
      • Mastering Data and Business Analytics
        • Basic Excel for Data Analysis
        • Intermediate and Advanced Excel for Data Analysis
        • Excel for Business Analysis & Analyst
        • PivotTable, PowerPivot, PowerQuery & DAX for Data Analysi
        • Data Analytics and Visualization with Tableau
        • Data Analytics with Power-BI
        • Data Analytics and Visualisation with SQL
      • Mastering Python for Data Analytics and Visualization
        • Python Foundation for Data Analytics
        • Data Analysis Using Python With Numpy and Pandas
        • Data Visualization Using Python with Matplotlib and Seaborn
        • Data Science with SQL Server and Azure SQL Database
        • Data Analytics and Visualisation with PowerBI
      • Complete Microsoft Excel Master Program
        • Basic Excel for Data Analysis
        • Excel Interactive Dashboard for Data Analysis
        • Intermediate and Advanced Excel for Data Analysis
        • PivotTable PowerPivot, PowerQuery & DAX for Data Analysis
        • Excel for Data Analysis and Visualization
        • Excel for Business Analysis & Analyst
      • Data Analytics With SQL Master Program
      • Master Data Analytics With PowerBI
      • Financial Reporting with PowerBI
      • Data Analysts with Power-BI
      • Data Analytics and Visualization with Excel
    • Mastering Python
      • Python Developer Masters Program
        • Python Programming Certification Course
        • Data Science With Python Certification
        • Artificial Intelligence Certification Course
        • PySpark Certification Training Course
        • Python Statistics for Data Science
      • The Complete Python Developer
      • Data Analysis and Visualization with Python
      • Complete Data Scientist with Python
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      • Machine Learning Engineer with Python
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      • Microsoft Azure DP-100 Data Science
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      • Mastering SQL Server Development
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      • Data Engineer Course Online Masters Program
      • Data Science with SQL Server and Azure SQL Database
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      • DevOps Engineer & Solution Architect Expert Program
    • Data Science
      • Data Science With Python Certification
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      • Data Science with SQL Server and Azure SQL Database
      • Complete Data Scientist with Python
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PySpark Certification Training Course 


This certification course gives you an overview of the Spark stack and teaches you how to leverage Python's functionality as you deploy it in the Spark ecosystem.


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PySpark Certification Training Course 


Who this course is for:

  • Someone who knows Python and would like to learn how to use it for Big Data.
  • Someone who is very familiar with another programming language and needs to learn Spark.


What you will Learn:

  • Use Python and Spark together to analyze Big Data.
  • Learn how to use the new Spark 2.0 DataFrame Syntax.
  • Use Spark's MLlib to create Powerful Machine Learning Models.
  • Learn about the Data Bricks Platform!
  • Use Spark Streaming to Analyze Tweets in Real Time!
  • Work on Consulting Projects that mimic real world situations!
  • Classify Customer Churn with Logistic Regression.
  • Get set up on Amazon Web Services EC2 for Big Data Analysis.
  • Learn how to use AWS Elastic MapReduce Service!
  • Use Spark with Random Forests for Classification.
  • Learn how to use Spark's Gradient Boosted Trees.
  • Learn how to leverage the power of Linux with a Spark Environment!
  • Create a Spam filter using Spark and Natural Language Processing!

Course Benefits & Key Features

PySpark Certification Training Course’s benefits and key features.
Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion


INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our                        

learners say they have confidence and remember more               

when they learn by building real world projects which is                

required to work in your real life.


  • Get step-by-step guidance to practice your skills without getting stuck
  • Validate your technical problem-solving skills in a real environment
  • Troubleshoot complex scenarios to practice what you learned
  • Develop production experience that translates into real-world
.

PySpark Certification Training Course Job Outlook


.

PySpark Market Size

According to Fortune Business Insights, the global big data analytics market size is projected to reach $549.73B in 2028, at a CAGR of 13.2% during the forecast period.

PySpark Developer's Salary Trend

The salaries of Big Data Developers in the US range from USD 73,445 to USD 140,000 , with a median salary of USD 114,000 - Indeed.com

Company that Deploy PySpark

Major MNCs like Facebook, Instagram, Netflix, Yahoo, Walmart and many more deployed Spark to process data and enable downstream analytics.



  • Big Data Engineer

Job Titles include:


  • Big Data Developer


  • Big Data Analyst


PySpark Certification Tools Covered

.

PySpark Certification Skills Covered

.
  • Storing Big Data in HDFS
  • Transformations and Actions in Spark


  • Data Ingestion using Sqoop and Flume
  • Querying Big Data using Spark SQL

  • Building Data Pipeline using Kafka
  • Real-time Data Processing with Spark

Why PySpark Certification Training Course?

Learn In-demand Skills

Those with careers in big data analysis learn relevant in-demand skills that span industries and add value to every digital-enabled organization.


Earn a Higher Salary

Experienced big data analysts can earn up to $140,000 per year and transition into higher-paying jobs as Senior Big Data Analysts, Data Scientists, or Analytics Managers.

Positive Job Outlook

The  big data analytics market is predicted to hit $132.90 Billion USD by 2027. COVID-19 pandemic accelerated the adoption of big data analytics solutions and services.

Shape the Future

Big Data analysts with PySpark transform organizations by capitalizing on data to improve their business decisions and solve critical real-world problems.

Become a Leader

Being a central part of an organization’s decision-making processes, analytics experts often pick up strong leadership skills as well.

Big Data Analysis are Constantly Evolving

Big Data analysis moves quickly, and data analysts are constantly learning and advancing in their careers.




GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field. 

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

PySpark Certification Training Course

GreaterHeight Academy's PySpark Course is curated by top industry experts to help you master the skills required to become a successful PySpark developer. This certification course gives you an overview of the Spark stack and teaches you how to leverage Python's functionality as you deploy it in the Spark ecosystem. Our online training is instructor-led and enables you to master key PySpark concepts with hands-on demonstrations. Enroll now with this course to learn from top-rated instructors.

WEEK 12-14 | 13 Modules | 20+ Hours | 13 Skills

Course Modules


  1. What is Big Data?
  2. Big Data Customer Scenarios
  3. Limitations and Solutions of Existing Data Analytics Architecture with Uber Use Case
  4. How Hadoop Solves the Big Data Problem?
  5. What is Hadoop?
  6. Hadoop’s Key Characteristics
  7. Hadoop Ecosystem and HDFS
  8. Hadoop Core Components
  9. Rack Awareness and Block Replication
  10. YARN and its Advantage
  11. Hadoop Cluster and its Architecture
  12. Hadoop: Different Cluster Modes
  13. Big Data Analytics with Batch & Real-Time Processing
  14. Why Spark is Needed?
  15. What is Spark?
  16. How Spark Differs from its Competitors?
  17. Spark at eBay
  18. Spark’s Place in Hadoop Ecosystem

Hands-On

  1. Hadoop terminal commands

  1. Overview of Python
  2. Different Applications where Python is Used
  3. Values, Types, Variables
  4. Operands and Expressions
  5. Conditional Statements
  6. Loops
  7. Command Line Arguments
  8. Writing to the Screen
  9. Python files I/O Functions
  10. Numbers
  11. Strings and related operations
  12. Tuples and related operations
  13. Lists and related operations
  14. Dictionaries and related operations
  15. Sets and related operations

Hands-On

  1. Creating “Hello World” code
  2. Demonstrating Conditional Statements
  3. Demonstrating Loops
  4. Tuple - properties, related operations, compared with list
  5. List - properties, related operations
  6. Dictionary - properties, related operations
  7. Set - properties, related operations

  1. Functions
  2. Function Parameters
  3. Global Variables
  4. Variable Scope and Returning Values
  5. Lambda Functions
  6. Object-Oriented Concepts
  7. Standard Libraries
  8. Modules Used in Python
  9. The Import Statements
  10. Module Search Path
  11. Package Installation Ways

Hands-On

  1. Functions - Syntax, Arguments, Keyword Arguments, Return Values
  2. Lambda - Features, Syntax, Options, Compared with the Functions
  3. Sorting - Sequences, Dictionaries, Limitations of Sorting
  4. Errors and Exceptions - Types of Issues, Remediation
  5. Packages and Module - Modules, Import Options, sys Path

  1. Spark Components & its Architecture
  2. Spark Deployment Modes
  3. Introduction to PySpark Shell
  4. Submitting PySpark Job
  5. Spark Web UI
  6. Writing your first PySpark Job Using Jupyter Notebook
  7. Data Ingestion using Sqoop

Hands-On

  1. Building and Running Spark Application
  2. Spark Application Web UI
  3. Understanding different Spark Properties

  1. Challenges in Existing Computing Methods
  2. Probable Solution & How RDD Solves the Problem
  3. What is RDD, Its Operations, Transformations & Actions
  4. Data Loading and Saving Through RDDs
  5. Key-Value Pair RDDs
  6. Other Pair RDDs, Two Pair RDDs
  7. RDD Lineage
  8. RDD Persistence
  9. WordCount Program Using RDD Concepts
  10. RDD Partitioning & How it Helps Achieve Parallelization
  11. Passing Functions to Spark

Hands-On

  1. Loading data in RDDs
  2. Saving data through RDDs
  3. RDD Transformations
  4. RDD Actions and Functions
  5. RDD Partitions
  6. WordCount through RDDs

  1. Need for Spark SQL
  2. What is Spark SQL
  3. Spark SQL Architecture
  4. SQL Context in Spark SQL
  5. Schema RDDs
  6. User Defined Functions
  7. Data Frames & Datasets
  8. Interoperating with RDDs
  9. JSON and Parquet File Formats
  10. Loading Data through Different Sources
  11. Spark-Hive Integration

Hands-On

  1. Spark SQL – Creating data frames
  2. Loading and transforming data through different sources
  3. Stock Market Analysis
  4. Spark-Hive Integration

  1. Why Machine Learning?
  2. What is Machine Learning?
  3. Where Machine Learning is Used?
  4. Face Detection: USE CASE
  5. Different Types of Machine Learning Techniques
  6. Introduction to MLlib
  7. Features of MLlib and MLlib Tools
  8. Various ML algorithms supported by MLlib

Hands-On

  1. Face detection use case

  1. Supervised Learning - Linear Regression, Logistic Regression, Decision Tree, Random Forest
  2. Unsupervised Learning - K-Means Clustering & How It Works with MLlib
  3. Analysis on US Election Data using MLlib (K-Means)

Hands-On

  1. Machine Learning MLlib
  2. K- Means Clustering
  3. Linear Regression
  4. Logistic Regression
  5. Decision Tree
  6. Random Forest

  1. Need for Kafka
  2. What is Kafka
  3. Core Concepts of Kafka
  4. Kafka Architecture
  5. Where is Kafka Used
  6. Understanding the Components of Kafka Cluster
  7. Configuring Kafka Cluster
  8. Kafka Producer and Consumer Java API
  9. Need of Apache Flume
  10. What is Apache Flume
  11. Basic Flume Architecture
  12. Flume Sources
  13. Flume Sinks
  14. Flume Channels
  15. Flume Configuration
  16. Integrating Apache Flume and Apache Kafka

Hands-On

  1. Configuring Single Node Single Broker Cluster
  2. Configuring Single Node Multi Broker Cluster
  3. Producing and consuming messages
  4. Flume Commands
  5. Setting up Flume Agent
  6. Streaming Twitter Data into HDFS

  1. Drawbacks in Existing Computing Methods
  2. Why Streaming is Necessary
  3. What is Spark Streaming
  4. Spark Streaming Features
  5. Spark Streaming Workflow
  6. How Uber Uses Streaming Data
  7. Streaming Context & DStreams
  8. Transformations on DStreams
  9. Describe Windowed Operators and Why it is Useful
  10. Important Windowed Operators
  11. Slice, Window and ReduceByWindow Operators
  12. Stateful Operators

Hands-On

  1. WordCount Program using Spark Streaming

  1. Apache Spark Streaming: Data Sources
  2. Streaming Data Source Overview
  3. Apache Flume and Apache Kafka Data Sources
  4. Example: Using a Kafka Direct Data Source

Hands-On

  1. Various Spark Streaming Data Sources

  1. Project 1- Domain: Finance
  2. Project 2- Domain: Media and Entertainment

Hands-On

  1. Implementing an End-to-End Project

  1. Introduction to Spark GraphX
  2. Information about a Graph
  3. GraphX Basic APIs and Operations
  4. Spark GraphX Algorithm - PageRank, Personalized PageRank, Triangle Count, Shortest Paths, Connected Components, Strongly Connected Components, Label Propagation

Hands-On

  1. The Traveling Salesman problem
  2. Minimum Spanning Trees

PYSPARK CERTIFICATION TRAINING COURSE 

COST


United States

$349.99

United Kingdom

£299.99

Career and Certifications


GreaterHeight Academy's Certificate Holders also prepared work at companies like:



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FAQs

Python Programming Certification Course Trainng

  • The PySpark course is designed to provide you with the knowledge and skills needed to become a successful Big Data & Spark Developer. This PySpark training will help you clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop, along with how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. This course also covers RDDs, Spark SQL for structured processing, and different APIs offered by Spark, such as Spark Streaming, Spark MLlib, HDFS, Flume, Spark GraphX, and Kafka. The best PySpark online courses are an integral part of a Big Data Developer’s career path.

There are no prerequisites for the PySpark training course. Prior work experience is also not required. Knowledge of Python programming and SQL will be an added advantage.

The Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:

  • An overview of Big Data & Hadoop, including HDFS (Hadoop Distributed File System) and YARN (Yet Another Resource Negotiator).
  • Comprehensive knowledge of various tools that fall in the Spark Ecosystem, such as Spark SQL, Spark MLlib, Sqoop, Kafka, Flume, and Spark Streaming.
  • The capability to ingest data in HDFS using Sqoop & Flume and analyze those large datasets stored in the HDFS.
  • The power to handle real-time data feeds through a publish-subscribe messaging system like Kafka.
  • Exposure to many real-life industry-based projects that will be executed using GreaterHeight Academy’s CloudLab.
  • Projects that are diverse in nature, covering banking, telecommunications, social media, and government domains.
  • Rigorous involvement of an SME throughout the Spark Training to learn industry standards and best practices.

GreaterHeight Academy’s PySpark Training, curated by industry experts, is designed to help you become a Spark developer. Throughout this course, our expert instructors will train you to:

  • Master the concepts of HDFS
  • Understand Hadoop 2.x Architecture
  • Understand Spark and its Ecosystem
  • Implement Spark operations on Spark Shell
  • Implement Spark applications on YARN (Hadoop)Write Spark Applications using Spark RDD concepts
  • Learn data ingestion using Sqoop
  • Perform SQL queries using Spark SQL
  • Implement various machine learning algorithms using Spark MLlib API
  • Explain Kafka and its components
  • Understand Flume and its components
  • Integrate Kafka with real-time streaming systems like Flume
  • Use Kafka to produce and consume messages
  • Use Spark Streaming for stream processing of live data
  • Build Spark Streaming Application
  • Process Multiple Batches in Spark Streaming
  • Implement different streaming data sources
  • Solve multiple real-life industry-based use cases which will be executed using GreaterHeight Academy’s CloudLab

  • The PySpark course is suitable for freshers and professionals who are willing to start careers in Big Data, including developers, architects, BI/ETL/DW and mainframe professionals, Big Data architects, engineers, developers, data scientists, and analytics professionals.

After completing the PySpark Certification course, you will gain access to a diverse array of job opportunities and be well-prepared for roles such as Big Data Developer, Data Engineer, Data Analyst, and many others.

  • You are required to complete all your PySpark course assignments and Case Studies in the Cloud LAB environment provided by GreaterHeight Academy. Access to the Cloud LAB will be through a browser. In case of any doubts or questions, GreaterHeight Academy’s Support Team will be available 24/7 for prompt assistance.

  • This PySpark course helps you gain the necessary skills to become a PySpark developer. You can also learn how to read files, complete data analysis, and use PySpark for machine learning.

  • CloudLab is a cloud-based Spark and Hadoop environment offered by GreaterHeight Academy as part of the PySpark Course. It enables you to seamlessly execute all in-class demos and work on real-life Spark case studies. This not only spares you from the hassle of installing and maintaining Spark and Python on a virtual machine but also provides hands-on experience with a real big data and Spark production cluster. Access to the Spark Training CloudLab is available via your browser, requiring minimal hardware configuration. Should you encounter any challenges at any step, our support team is ready to assist you 24/7.

You can enroll for this PySpark course through our website and pay online using any of the available payment options.

  • Visa Credit or Debit Card
  • MasterCard
  • PayPal
  • UPI
  • Net Banking
  • EMI
  • American Express

Once payment is received, you will automatically receive a payment receipt and access information via email.

  • All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs. of development experience in various technologies and are trained by GreaterHeight Academy to deliver interactive training to the participants.

  • Yes, we do. As the technology upgrades, we do update our content and provide your training on latest version of that technology.

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

  • Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

  • No. Any abuse of copyright is taken seriously. Thanks for your understanding on this one.

  • Yes, we would be providing you with the certificate of completion of the program once you have successfully submitted all the assessment and it has been verified by our subject matter experts.

  • Yes. But you can also raise a ticket with the dedicated support team at any time. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, our support is provided for a period of Twelve Weeks from the start date of your course.

  • GreaterHeight 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.

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Microsoft Azure DP-100 Data Science

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You will Optimize & Manage Models,   Perform Administration by using T-SQL, Run Experiment & Train Models, Deploy & Consume Models, and Automate Tasks.

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Machine Learning using Python

Machine Learning using Python

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on.

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Microsoft Azure PL-300 Data Analysis

Microsoft Azure PL-300 Data Analysis

You will learn how to Design a Data Model in Power BI, Optimize Model Performance,   Manage Datasets in Power BI and Create Paginated Reports.

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You will learn Batch & Real Time Analytics, Azure Synapse Analytics, Azure Databricks,   Implementing Security and ETL & ELT Pipelines.

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Most of our training courses are accredited by the respective governing bodies.

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We have well equipped and highly experienced instructors to train the professionals.

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