This Post Graduate Data Engineer course in New York City is offered to you in collaboration with IBM and Purdue University and can help you advance in your career. The Data Engineer Course in New York City will help you master critical data engineering skills with real-world practical training.
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
This Data Engineer Course in New York City 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 New York City.
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
4 Dec, 2023
9 Dec, 2023 - 2 Jun, 2024
07:30 - 11:30 CST
Weekend (Sat - Sun)
5 Jan, 2024
6 Apr, 2024 - 20 Oct, 2024
08:30 - 12:30 CDT
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 and data processing systems by cleaning and wrangling it to ensure reliable data.
For admission to this Data Engineering Course in NYC, 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 NYC 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 Data Engineering course in NYC, 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.
The average salary earned by the Data Engineer in New York is $104,210 per year according to Payscale. The professional on completing a Data Engineer certification course in New York can get various job opportunities. Polishing the skills, developing and translating computer algorithms into prototype code, and maintaining, organizing, and identifying trends, is one of the courses in high demand.
Several companies in NYC are on the lookout for experts in Data Engineering. According to Indeed, some of the top companies looking out for Data Engineers in NYC are The New York Times, Amazon, Facebook, Spotify, Comcast, KPMG and many more.
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.
Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering course in New York City 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!
Yes, you can enroll in the program even if you don’t have any prior knowledge in Big Data or 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.
Upon completion of this Data Engineering certification course in New York City, 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, Simplilearn's Data Engineering course in New York City 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!
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 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 in New York City.
Upon successful completion of Simplilearn's Data Engineering certification course in New York City, you will get a Purdue Alumni Association Membership.
Simplilearn’s PGP in Data Engineering in New York City 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. Simplilearn's Data Engineering course in New York City 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.
The powerhouse of the USA, New York is the city with the most influential industries. The major industries operating here include finance, technical, education, hospitality, healthcare, and tourism. With the increasing need for better data analysis and development, the demand for those who have completed Data Engineer training in New York is quite high.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering certification course.
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.
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.
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.
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.
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.
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