Get ahead with the Post Graduate data engineer course in Raleigh in Data Engineering in collaboration with Purdue University and IBM. With this data engineer training in Raleigh, you will master top data engineering skills with real-world applications.
Joint certificate from Purdue university and Simplilearn
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Build your resume and prepare for interviews with valuable insights from industry experts
14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more
The data engineer course in Raleigh primarily focuses on using the Hadoop framework for distributed processing, Spark for large-scale processing of data, and AWS, along with Azure cloud infrastructures for processing data. On completing this data engineer course in Raleigh, you equip yourself for a career in data engineering.
This Data Engineering postgraduate 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.
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.
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.
Understand the fundamental concepts of the AWS platform and cloud
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
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.
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.
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
This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.
Industry Master Class – Data Engineering
Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
Attend this live online immersive Masterclass on Generative AI designed to empower participants with the knowledge and skills to harness the incredible potential of generative artificial intelligence. These cutting-edge Masterclasses are taken by industry experts and delve deep into the world of AI-powered creativity, helping you to understand various concepts & topics related to generative AI.
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Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
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.
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.
Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.
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.
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.
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)
Expected New Jobs For Data Analytics And Science Related Roles
YOY Growth For Data Engineer Positions
Average Annual Salary
This Data Engineering postgraduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this Data Engineering course 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 course
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 Data Engineering course, candidates should have:
The admission fee for this Data Engineering course is $ 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.
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
We provide the following options for one-time payment
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 and data processing systems by cleaning and wrangling it to ensure reliable data.
For admission to this Post Graduate Program in Data Engineering in Raleigh, candidates need:
The admission process consists of three simple steps:
We have partnered with Affirm to provide competitive financing options (EMI option available) including 0%APR with no hidden costs for different tenures.
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 Raleigh 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 Raleigh, 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.
he average salary that a data warehouse engineer in Raleigh can earn is $102,212. The numbers could vary slightly based on the economic conditions and the professional qualifications of the employee. For a flourishing career as a warehouse engineer, it might be worthwhile to enroll in a data engineer course in Raleigh.
Data warehouse engineering is today a fast developing domain that is in constant need of people with the necessary technical expertise. Some of the top companies hiring data warehouse engineers in Raleigh are IBM, HCL Technologies, Gilero, Signalscape, Neology Inc, Peraton and Credit Suisse. These companies offer the best working conditions for data warehouse engineers and if you are looking to get recruited by them, join a data engineer course in Raleigh.
Raleigh has many industries that are contributing positively towards the economic health of the city. Some of these include financial services, construction, information technology, biotech research, food processing and electronics and communications equipment. Data engineer training in Raleigh, could help you land a well-paying job in one of these industries.
PGP Data Engineering in Raleigh is one of the hottest and most pursued fields right now. It is rewarding with great prospects for professionals working in the field. Any professional with a PGP data engineering certification in Raleigh earns somewhere between US$76,000 to US$1,10,000 per year. The average salary earned by a data engineer in the Raleigh-Durham, NC, United States area is around US$1,02,784 per year.
Data engineering is a booming field, and several major brands across the globe are making use of big data for better customer service and improved workflow. Quite naturally, numerous major companies are hiring for data engineers with a PGP data engineering certification in Raleigh. These companies include names like KPMG, IBM, Accenture, Pendo, Captech Consulting, Envestnet, and many more.
A lot of modern industries are thriving in the city of Raleigh, North Carolina. There are numerous opportunities in technology and research in the city with great scopes in areas like big data. A big data engineer with PGP data engineering certification in Raleigh is likely to find many job opportunities. The key industries in the city include government, healthcare, and education. There are several new industries that are growing in the region as well.
Any professional working in big data needs a basic bachelor's degree in any of the following disciplines to include Mathematics, Physics, Statistics, Computer Science, or Computer Engineering. Along with that, to become a PGP Data Engineer, a PGP data engineering certification in Raleigh can help you gain comprehensive knowledge in the field and land a decent job as a PGP Data Engineer.
With the rising popularity of Big Data, more and more students are gaining interest in the field, and Big Data will remain relevant in the coming future. That being said, finding courses on PGP Data Engineering Certification in Raleigh is not a difficult task. All you need to do is simply search on the Internet, check the institute's reviews, ratings, and alumni feedback, and enroll yourself for the course based upon your needs.
Yes, you can join the Data Engineer Course 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 enroll in this Data Engineering Course.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering certification course.
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 the Data Engineering Course 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 Engineer Course is only going to be an advantage.
You will get eligibility to Purdue Alumni Association Membership after completion of the Data Engineering course.
Once you make the first installment of the program fee, you will also get access to Data Engineering modules 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 Data Engineering course even if you don’t have any prior knowledge in Data Engineering since this program 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 certification 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.
Professional Certificate Program in Data Engineering is offered on a non-credit basis and is not transferable to a degree.
Simplilearn’s Data Engineering certification course helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills 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. This Data Engineering certification course is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance.
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 Data Engineering certification course. 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 certification course 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 certification course. 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.
These masterclasses are delivered in the form of live virtual sessions by experienced industry experts. This delves deep into the world of AI-powered creativity, helping you understand multiple concepts & topics related to generative AI such as effective prompt engineering, ethical considerations in GenAI and much more.
You will gain exposure to the world of Gen AI, some of its practical applications, some of the latest advancements in the field and much more - thus setting you apart from your competitors and helping you stay ahead in your career.
Raleigh, the capital of North Carolina, is an important center of research in the United States. Along with Chapel Hill and Durham, it is a part of the Research Triangle, or simply called “The Triangle”. The city has a population of 474,068 and is known to have a subtropical climate. The temperatures typically range between 33°F and 89°F. As per 2017 reports, the Gross Domestic Product of Raleigh was $84 billion with a per capita GDP of $54.398.
Raleigh offers many sightseeing options to tourists and locals alike. The city is known for its museums and the greenway parks have been a hit with travelers. You can also embark on a food tour that will help discover various delicacies popular to the region. Here are some must-visit places you should check out when you visit Raleigh: