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, 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. Purdue is 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
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Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
This Data Engineering certification course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
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 $ 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.
OTHER COHORTS
Date
Time
Batch Type
7 Feb, 2021
08:00 CST
20 Mar, 2021 - 29 Aug, 2021
09:00 - 13:00 CDT
Weekend (Sat - Sun)
For admission to this Post Graduate Program in Data Engineering, 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 Data Engineering certification course is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
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.
The Data Engineering course covers 10+ in-demand tools, including, Python, Scala, Apache Spark, MongoDB, SQL Amazon Sagemaker, Azure Cosmos DB, and many more.