• Admission closes on 27 Jun, 2024
  • Program Duration 8 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Joint certificate from Purdue university and Simplilearn

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain IBM certificates for IBM courses and get access to masterclasses by IBM

Career Assistance

Career Assistance

Build your resume and prepare for interviews with valuable insights from industry experts

Hands-on Experience

Hands-on Experience

14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Engineering Course Overview

This Data Engineer Course in Melbourne focuses on Hadoop-based distributed processing, Spark-based large-scale data processing, Kafka-based data pipelines, and data processing on AWS and Azure cloud infrastructures. You will be career-ready for a data engineering role after completing this Data Engineer Training in Melbourne.

Key Features

  • Post Graduate Program Certificate and Alumni Association membership
  • Exclusive Master Classes and Ask me Anything sessions by IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
  • IBM certificates for IBM courses
  • 8X higher live interaction in live Data Engineering online classes by industry experts

Data Engineering Course Advantage

This PG Data Engineering program in partnership with Purdue University leverages Purdue’s academic excellence & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.

  • Purdue Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Purdue Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized IBM certificates for IBM courses
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

Data Engineering Course Details

Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

Learning Path

  • Get started with the Data Engineering certification course in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.

    • Learn the essentials of Python programming
    • Understand the concepts of SQL and NoSQL
    • Learn how to navigate the Hadoop ecosystem and understand how to
    • optimize its use
    • Ingest data using Sqoop, Flume, and Kafka
    • Implement partitioning, bucketing, and indexing in Hive
    • Work with RDD in Apache Spark
    • Process real-time streaming data
    • Perform DataFrame operations in Spark using SQL queries
    • Implement User-Defined Functions (UDF) and User-Defined Attribute
    • Functions (UDAF) in Spark
    • Understand the fundamental concepts of the AWS platform and cloud

    • computing

    • Identify AWS concepts, terminologies, benefits, and deployment

    • options to meet business requirements

    • Identify deployment and network options in AWS

    • Understand how to use Amazon EMR for processing the data using

    • Hadoop ecosystem tools

    • Understand how to use Amazon Kinesis for Big Data processing in

    • real-time and analyze and transform Big Data using Kinesis Streams

    • Visualize data and perform queries using Amazon QuickSight.

    • Describe Azure storage and create Azure web apps

    • Deploy databases in Azure

    • Understand Azure AD, cloud computing, Azure, and Azure

    • subscriptions

    • Create and configure VMs in Microsoft Azure

    • Implement data storage solutions using Azure SQL Database, Azure

    • Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,

    • Azure Stream Analytics, Azure Databricks services

    • Develop batch processing and streaming solutions

    • Monitor Data Storage and Data Processing

    • Optimize Azure Data Solutions

  • By the end of Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.

Electives:
    • Create your first Python program using variables, strings, functions, loops, and conditions.

    • Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.

    • Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.

    • Understand how to leverage the functionality of Python
    • Master Apache Spark architecture and how to set up a Python environment for Spark
    • Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
    • Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
    • Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
    • Describe the importance of big data

    • Describe the fundamental concepts of Kafka

    • Describe the architecture of Kafka

    • Explain how to install and configure Kafka

    • Explain how to use Kafka for real-time messaging

    • Develop expertise in writing Java and NodeJS applications using MongoDB
    • Perform installation, configuration, and maintenance of the MongoDB environment
    • Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
    • Proficiently store unstructured data in MongoDB
    • Develop skill sets for processing vast amounts of data using MongoDB tools
    • Gain proficiency in MongoDB configuration, backup methods, and monitoring.
  • This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.

    • Gain a comprehensive understanding of Java
    • Learn how to use operators in Java
    • Learn about loops in Java
    • The course covers methods in Java.
    • Understand how to work with constructors in Java
    • Gain an understanding of the JUnit framework
  • Industry Master Class – Data Engineering

  • Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.

    • Attend live Gen AI masterclasses & learn how you can leverage it to streamline workflows and enhance efficiency
    • These cutting-edge masterclasses are conducted by industry experts, where you delve deep into AI-powered creativity, understanding various concepts & topics related to generative AI.

Skills Covered

  • Real Time Data Processing
  • Data Pipelining
  • Big Data Analytics
  • Data Visualization
  • Provisioning data storage services
  • Apache Hadoop
  • Ingesting Streaming and Batch Data
  • Transforming Data
  • Implementing Security Requirements
  • Data Protection
  • Encryption Techniques
  • Data Governance and Compliance Controls

Tools Covered

Amazon EMRAmazon QuicksightAmazon RedshiftAmazon Sagemakerkafkamongodbpythonscalaspark.Azure Blob Storageazure cosmos dbAzure Data FactoryAzure Data LakeAzure DatabricksAzure Stream AnalyticsAzure Synapse Analyticsazure SQL database

Industry Projects

  • Project 1

    Market Basket Analysis Using Instacart

    Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.

  • Project 2

    YouTube Video Analysis

    Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.

  • Project 3

    Data Visualization Using Azure Synapse

    Build visualization for the sales data using a dashboard to estimate the demand for all locations. This will be used by a retailer to make a decision on where to open a new branch.

  • Project 4

    Data Ingestion EndtoEnd Pipeline

    Upload data to Azure Data Lake Storage and save large data sets to Delta Lake of Azure Databricks so that files can be accessed at any time.

  • Project 5

    Server Monitoring with AWS

    Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.

  • Project 6

    ECommerce Analytics

    Analyze the sales data to derive significant region-wise insights and include details on the product evaluation.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors and Trainers

Program Advisors

  • Aly El Gamal

    Aly El Gamal

    Assistant Professor, Purdue University

    Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.

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Program Trainers

  • Wyatt Frelot

    Wyatt Frelot

    20+ years of experience

    Senior Technical Instructor

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO

  • Makanday Shukla

    Makanday Shukla

    15+ years of experience

    Enterprise Architect

  • Amit Singh

    Amit Singh

    12+ years of experience

    Technical Architect

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Join the Data Engineering Domain

The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)

Job Icon11.5 M

Expected New Jobs For Data Analytics And Science Related Roles

Source: US bureau of Labor
Job Icon50%

YOY Growth For Data Engineer Positions

Source: Dice 2020 report
Job Icon$76-$200K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Engineering postgraduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 40%Software Product - 15%BFSI - 15%Manufacturing - 15%Others - 15%
    Companies
     course learners from Microsoft, Melbourne
     course learners from Amazon, Melbourne
     course learners from IBM, Melbourne
     course learners from Accenture, Melbourne
     course learners from Deloitte, Melbourne
     course learners from Ericsson, Melbourne

Learner Reviews

Admission Details

Application Process

Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.

STEP 1

Submit Application

Tell us why you’d want to do this Data Engineering course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the Data Engineering course within 1-2 weeks

Eligibility Criteria

For admission to this Data Engineering course, candidates should have:

2+ years of work experience (preferred)
A bachelor's degree with an average of 50% or higher marks
Basic understanding of object-oriented programming

Admission Fee & Financing

The admission fee for this Data Engineering course is A$ 2,690. It covers applicable program charges and the Purdue Alumni Association membership fee.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Splitit

One Time Payment

Make hassle-free one-time payment with following options and save on admission fees

  • Credit Card
  • Paypal

A$ 2,690

Apply Now

Program Benefits

  • Earn a program certificate upon completion
  • Exposure to prompt engineering, ChatGPT, generative AI etc
  • Purdue Alumni Association Membership from Purdue University
  • 50% annual growth in job openings
  • Active recruiters include Google, Microsoft, Amazon and more

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      27 Jun, 2024

      23:30 AEST

    • Regular Classes

      20 Jul, 2024 - 16 Dec, 2024

      23:30 - 03:30 AEST

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Data Engineering Course FAQs

  • What are the eligibility criteria for this Post Graduate Program in Data Engineering in Melbourne?

    For admission to this Post Graduate Program in Data Engineering in Melbourne, candidates need:

    • A bachelor’s degree with an average of 50% or higher marks
    • 2+ years of work experience (preferred)
    • Basic understanding of object oriented programming (preferred)

  • What is the admission process for this Post Graduate Program in Data Engineering in Melbourne?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduate Program in Data Engineering in Melbourne is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Purdue Post Graduate Program in Data Engineering in Melbourne?

    As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:

    • Purdue Post Graduate Program certification
    • Industry recognized certificates from IBM and Simplilearn
    • Purdue Alumni Association membership
    • Lifetime access to all core elearning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use

  • What certificates will I receive?

    Upon successful completion of this program in Melbourne, you will be awarded a Post Graduate Program in Data Engineering certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.

  • What is the salary of a data engineer in Melbourne?

    A Data Engineer's average annual pay is AU$98,363. This estimate is based on 98 salary postings made by Data Engineer employees on the Glassdoor website.

  • What are the major companies hiring for Data engineering in Melbourne?

    The major data engineer hiring companies in Melbourne are Amazon, Microsoft, Walmart and Google.The data engineering course helps the data engineers to:

    • Improve data access and data utilisation by developing technology solutions.
    • Recognize data requirements and offer technical advice to the company.
    • To deliver meaningful information, combine and analyse different data sets.
    • Create business-user-friendly reports, dashboards, and tools.

  • What are the major industries in Melbourne?

    The data engineering course is making the industry grow vastly. The global Big Data and Data Engineering services market is predicted to increase at a CAGR of 18.2 percent from USD 32.45 billion in 2017 to USD 123.89 billion in 2025.

  • How to become a data engineer in Melbourne?

    You need to complete a Data engineering course to become a data engineer. This course in Data Engineering focuses on Hadoop distributed processing, Spark large-scale data processing, Kafka data pipelines, and data processing on AWS and Azure cloud infrastructures. You will be job-ready for a data engineering role after completing this data engineering certification course in Melbourne.

  • How to find Data engineering courses in Melbourne?

    This Post Graduate Program in Data Engineering, in association with Purdue University and IBM, can help you advance in your career. This Data engineering certification course in Melbourne combines high-engagement learning with real-world applications to help you acquire critical data engineering skills.

  • I am not from a technical background. Can I still join this Data Engineering Course?

    Yes, you can join the Data Engineer Course even if you belong to something other than a technical background. However, having a good hand at object-oriented programming languages will be beneficial. It is always an advantage to learn in-demand skills required in the industry.

  • What is the average salary of a Data Engineer?

    Data Engineers command lucrative salaries worldwide. They earn an average annual salary of Rs. 887,206 in India, £43,082 in the UK, $96,659 in the US, CA $85,228 in Canada, and AU$99,659 in Australia.

  • Will I become alumni of Purdue University after completion of the Data Engineering course?

    You will get eligibility to Purdue Alumni Association Membership after completion of the Data Engineering course.

  • Can I get a refund if I want to cancel my enrollment for this Data Engineering Course?

    Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.

    * Disclaimer: Professional Certificate Program in Data Engineering is offered non-credit and is not transferable to a degree.

Post Graduate Program in Data Engineering, Melbourne

Melbourne is the capital city of Australian state Victoria and the state's economic, administrative, cultural, and recreational hub. Greater Melbourne has a population of roughly 4.96 million people and encompasses 9992.5 Kilometers square.

Melbourne's GRP is expected to be $97.699 billion dollars. Melbourne accounts for 26.5 percent of Greater Melbourne's GRP of $369.113 billion, 20.9 percent of Victoria's GSP of $467.876 billion, and 4.9 percent of Australia's GDP of $1.985 trillion. Melbourne has a moderate oceanic climate with warm to hot summers and mild winters, verging on humid subtropical weather.

Melbourne is Australia's second-most-visited city and the world's 73rd-most-visited city. Federation Square, Queen Victoria Market, Crown Casino, Southbank, Melbourne Zoo, Melbourne Aquarium, Docklands, National Gallery of Victoria, Melbourne Museum, Melbourne Observation Deck, Arts Centre Melbourne, and Melbourne Cricket Ground are the most popular tourist attractions in Melbourne. A famous tourist attraction is Luna Park, a theme park modelled after New York's Coney Island and Seattle's Luna Park.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.