Post Graduate Program in Data Engineering
Simplilearn's PG Data Engineering program, in partnership with Purdue University & IBM, is the ideal program for professional exposure. Aligned with AWS and Azure certifications, this data engineering course will help all master crucial Data Engineering skills.
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 Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
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.
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
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.
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 its incredible potential. These cutting-edge masterclasses are conducted 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 $ 3,850. 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
Date
Time
Batch Type
4 Jun, 2024
08:30 CDT
20 Jul, 2024 - 15 Dec, 2024
08:30 - 12:30 CDT
Weekend (Sat - Sun)
To ensure that money is not a barrier to learning, we offer various financing options to help make this Data Engineering certification course financially manageable. For more details, please refer to our “Admissions Fee and Financing” section.
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.
Upon completing this Data Engineering postgraduate program, you can apply for various job roles, such as Big Data Engineer, Data Analyst, Data Architect, Professional Data Engineer, or Data Warehouse Engineer.
Although the niche job role can change depending on the organization, a Data Engineer is generally supposed to design, create, test, and maintain the data management and processing systems. In addition, a Data Engineer also builds scalable, robust, and fault-tolerant systems, discovers data acquisition opportunities, and creates data models to reduce system complexities and introduce new data management tools into the existing systems to make them more efficient.
This certification validates your expertise in Data Engineering. After completion, you can implement data warehouses to consolidate and analyze vast customer data. Additionally, getting a joint certification from a prestigious, world-renowned university like Purdue will add recognition and stars to your CV.
This Data Engineering course includes capstone projects and 14+ hands-on industry projects, where you can practice and implement the knowledge and skills you learned throughout the program and showcase your skills to your employer!
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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.
You will get eligibility to Purdue Alumni Association Membership after completion of the Data Engineering course.
Once you pay the first installment of the program fee, you will also get access to Data Engineering modules with eight to ten hours of self-paced learning content in the form of videos. This material gives you an introduction to data along with giving you and overview of the course modules. You must complete the assigned course before attending the first class.
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.
Yes, Data Engineers are expected to have basic programming skills in Java, Python, R or any other language.
The top industries that are suitable for Big Data professionals are:
Our team of Data Engineering instructors is comprised of industry experts with years of relevant industry experience in topics such as big data, data structures, data modeling, and data management. Each instructor has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before being certified to train for us.
In this course, our instructors will cover basic topics like introduction to data to tongue ones like data engineering pipelines. We also ensure that only trainers with a high alum rating remain part of our faculty.
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.
Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you throughout your journey. Once you finish the data engineering course, you will gain lifelong access to our community forum.
Our team of skilled teaching assistants and subject matter expert data scientists are committed to helping you master the data engineering course successfully on your initial try. They enhance your learning journey by supporting you with class onboarding, project mentoring, and job guidance. Available during business hours, they are here to respond to your inquiries and aid you in finishing your data engineering course.