This Post Graduate Program in Data Engineering focuses on distributed processing using the Hadoop framework, large scale data processing using Spark, data pipelines with Kafka, and processing data on the AWS and Azure cloud infrastructures. Upon completion of this data engineering certification course in Melbourne, you will be career-ready for a data engineering role.
This Post Graduate Program in Data Engineering in partnership with Purdue University leverages Purdue’s academic excellence in Data Engineering & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.
This Post Graduate Program in Data Engineering in partnership with Purdue University, one of the world's leading research and teaching institutions, offers higher education at the highest proven value. We are committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.
IBM is one of the leading innovators in Data Analytics and infuses this Data Engineering certification course with industry-relevant, hands-on training.
Fast track your career as a Data Engineering professional with our Post Graduate Program in Data Engineering. This program covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Kinesis, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.
Get started with the Post Graduate Program in Data Engineering 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.
With this Data Engineering course, you will gain insights into how to improve business productivity by processing large volumes of data and extracting valuable information.
Data Engineering course covers how to navigate the AWS management console; understand AWS security measures, storage, and database options; and gain expertise in web services like RDS and EBS.
With Data Engineering certification training you will become familiar with the Amazon Web Services (AWS) cloud platform, including Kinesis Analytics, and AWS big data storage, processing, analysis, visualization, and security services.
With the Data Engineering certification course, you will learn to create the most common Azure services, including virtual machines, web apps, and SQL databases. Learn the key features of Azure Active Directory and the methods of integrating the cloud service with on-premises Active Directory.
Data Engineering course covers the implementation of data solutions; manage and develop data processing; and monitor and optimize data solutions using the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
By the end of Data Engineering certification training, 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.
Data Engineering course helps learners to activate their knowledge of Python for Data Science and familiarize themselves with programming through this introductory course (carefully crafted by IBM).
Data Engineering course helps you understand how to build and implement data-intensive applications as you dive into the world of high-performance machine learning.
Throughout this Data Engineering course, you will learn the basics of Apache as a centralized service and develop the skills to deploy Kafka for real-time messaging.
At the end of Data Engineering certification training, you will master the skills of data modeling, ingestion, querying, sharding, and replication.
This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials
If you’re looking to master web application development for virtually any computing platform, this Java Certification Training course is for you. This training course will give you a firm foundation in Java, the most commonly used programming language in software development.
Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
Industry Master Class – Data Engineering
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.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
This Data Engineering certification course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
The curriculum was well organized, covering all the root concepts and relevant real-time experience. The trainer was well equipped to solve all the doubts during the training. Cloud lab facility and materials provided were on point.
This platform has enhanced my knowledge of big data and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor's in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.
The global Big Data and Data Engineering services market is expected to grow from USD 32.45 billion in 2017 to USD 123.89 billion by 2025, at a CAGR of 18.2% (source: Fior Markets).
For Data Engineer positions
Estimated for Data roles in 2020
Candidates can apply to this certification course in Data Engineering in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you’d want to do this Data Engineering certification training
An admission panel will shortlist candidates based on their application
Selected candidates can begin the Data Engineering course within 1-2 weeks
For admission to this Post Graduate Program in Data Engineering, 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
Our team of dedicated admissions counselors is available to guide you as you apply to the program. Our counselors are available to:
The admission fee for this Data Engineering certification course is A$ 3,500. It covers applicable program charges and the Purdue Alumni Association membership fee.
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.
9 Oct, 2021
14 Nov, 2021 - 16 May, 2022
00:30 - 04:30 AEDT
Weekend (Sat - Sun)
3 Nov, 2021
9 Jan, 2022 - 4 Jul, 2022
01:00 - 05:00 AEDT
Weekend (Sat - Sun)
Data engineering is an aspect of Data Science focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline systems, cleaning, and wrangling that data to ensure the data used is reliable.
For admission to this Post Graduate Program in Data Engineering in Melbourne, candidates need:
The admission process consists of three simple steps:
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.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
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.
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.
The major data engineer hiring companies in Melbourne are Amazon, Microsoft, Walmart and Google.The data engineering course helps the data engineers to:
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.
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.
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.
Upon completion of this Data Engineering certification course, you can apply for various job roles like Big Data Engineer, Data Analyst, or a Data Warehouse Engineer.
Certification validates your expertise in the field of Data Engineering. To add to that, getting a joint certification from a prestigious university, a world-renowned one like Purdue University is going to add recognition and stars to your CV. On the other hand, this Data Engineering course includes capstone projects and 14+ hands-on industry projects where you get to practice and implement the skills you learned throughout the program, and showcase your skills to your employer!
Simplilearn’s Post Graduate Program in Data Engineering gives you a clear understanding of Big Data and Data Engineering concepts with easy-to-follow courses, namely:
You will be preferred over other candidates if you have at least 2 years of industry experience. On the other hand it is mandatory to have a bachelor’s degree with an average of 50% or higher marks, and it is always an added factor if you have a basic understanding of object-oriented programming.
Yes, you can join the program even if you do not belong to a technical background. However, having a good hand at object-oriented programming languages will be beneficial.
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enrol in this Data Engineering certification course.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering training.
Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering course is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes this program just the right one for you!
Data has taken the world by storm and the more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Engineering course is only going to be an advantage, and nothing less.
You will get a Purdue Alumni Association Membership.
Once you make the first installment of the program fee, you will also get access to a Data Engineering course with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.
Yes, you can enroll in the program even if you don’t have any prior knowledge in Data Engineering since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Engineering skills.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Engineering on your first attempt. They proactively engage students to assure they’re following the course path and help enrich their learning experience, from class onboarding to project mentoring and job assistance.
Our highly qualified Data Engineering instructors are Big Data industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.
Yes, you can access the Data Engineering course content even after the completion of the program.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
We offer 24/7 support through email, chat, and telephone. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your 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.
Post Graduate Program in Data Engineering is offered on a non-credit basis and is not transferable to a degree.
Simplilearn’s PGP in Data Engineering program helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills do employers seek when hiring for data engineering positions. They take you through crucial topics like the Hadoop framework, data processing with Spark, and Big Data on AWS with ease and you can follow them at your convenience.
There are only a few courses in the market that offer a university degree along with industrial exposure through a renowned tech company. The program is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance. With so many features, our data engineering courses are unique of its kind and you should consider taking it.
You can dedicate around 5 to 10 hours per week to complete this data engineering course in 8 months. You can also change the study plan as per convenience.
There are no specific system requirements for this PGP in Data Engineering program. A working system connected to the internet is enough to access the course materials.
There are many skills employers seek for a data engineer position. You need to study about core math concepts, big data tools and techniques, data pipelines, data warehousing, data cleaning, Hadoop, basic programming, and Apache Spark to become a data engineer. Our data engineering program covers all of these areas in detail.
Data Engineers command lucrative salaries across the world. They earn an average annual salary of Rs. 830K in India, £43,725 in the UK, $116,591 in the US, CA $80K in Canada, and AU$ 103,346 in Australia.
Capstone projects are now a part of every reliable online training program. They basically help individuals to reinforce their practical learning. Such projects involve real-world problems and individuals work on real-world data sets with virtual labs to gain hands-on learning experience and become job-ready.
With the ongoing wave of digital transformation, artificial intelligence, and automation, the demand for professionals to have data analytics skills has increased. So, data engineering is a promising career option, and with low supply, the companies are even ready to pay higher salaries to the right candidates. Our data engineering program will help you develop all the required skills and become industry-ready.
Yes, Data Engineers are expected to have basic programming skills in Java, Python, R or any other language.
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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.
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