Professional Certificate Program in Data Engineering
Launch your data engineering career with this program by Purdue University Online in collaboration with Simplilearn. Aligned with AWS, Azure, and Snowflake certifications, this program will give you the skills for in-demand jobs and help you master crucial data engineering expertise.
Joint program completion certificate from Purdue University Online and Simplilearn
Joint program completion certificate from Purdue University Online and Simplilearn
Gain access to Purdue’s Alumni Association membership on program completion
Learn courses that are aligned with AWS, Microsoft, and Snowflake certifications
Build your resume and highlight your profile to recruiters with our career assistance services.
Lifetime access to self-paced e learning content
This Data Engineering course is ideal for professionals and equips you with Python, SQL, NoSQL, Big Data, Snowflake, AWS, Azure & GCP fundamentals. Prepare for in-demand certifications (AWS, Azure & Snowflake) and build your portfolio using the Capstone project.
This data engineering program equips you with the latest tools (Python, SQL, Cloud, Big Data) to tackle complex data challenges. Master data wrangling, build data pipelines, and gain Big Data expertise (Hadoop, Spark) through this program.
Fast-track your career as a data engineering professional with our course. The curriculum 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
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 the course, you can showcase your newly acquired skills in a hands-on, industry-relevant capstone project that combines everything you learned in the program into one portfolio-worthy example. You can work on 3 projects to make your practice more relevant.
The GCP Fundamentals course will teach you to analyze and deploy infrastructure components such as networks, storage systems, and application services in the Google Cloud Platform. This course covers IAM, networking, and cloud storage and introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform.
This course introduces Source Code Management (SCM), focusing on Git and GitHub. Learners will understand the importance of SCM in the DevOps lifecycle and gain hands-on experience with Git commands, GitHub features, and common workflows such as forking, branching, and merging. By the end, participants will be equipped to efficiently manage and collaborate on code repositories using Git and GitHub in real-world scenarios.
Contact Us
( Toll Free )
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 Professional Certificate Program in Data Engineering caters to working professionals across different industries. Learner diversity adds richness to class discussions.
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.
Date
Time
Batch Type
2 Sep, 2024
08:30 CDT
26 Oct, 2024 - 27 Jul, 2025
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 pipelining. It involves designing and building systems to collect and analyze data in its raw form from a variety of sources.
A Data engineer builds data warehouse, data models, manage data pipelines and processing systems by cleaning out these raw data clusters and deriving meaningful information from them to help make better business decisions.
With organizations relying heavily on data to drive growth today, data engineering is becoming a more popular skill. Data engineers are tasked with designing a system to unify multiple sources of business data in a meaningful and accessible way. The typical role of data engineers includes:
This comprehensive data engineering course from Purdue University Online and Simplilearn is designed to provide an introduction to data, a detailed view of the domain and equip you with the skills and techniques to succeed in it. Our course integrates data warehousing, data lakes, and data engineering pipelines to create a comprehensive and scalable data architecture.
Some of the benefits of this course include:
Instructors for this data engineering course are industry professionals with extensive experience in the field. They are selected based on their expertise, teaching ability, track record and credentials in the field. The selection process includes rigorous vetting to ensure they can provide high-quality education and real-world insights for the best learning experience.
The admission process for data engineering course consists of three simple steps:
Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.
Today, small and large companies depend on data to help answer important business questions. Data engineering plays a crucial role in supporting this process, making it possible for others to inspect the data available reliably making them important assets to organizations, earning lucrative salaries worldwide. Here are some average yearly estimates:
Designing and building data applications is very well regarded in the industry. While becoming a data engineer would be the most obvious route after completing this course, there are several other career paths you could choose:
Yes, data engineers are expected to have basic programming skills in Java, Python, R or any other language.
Yes, you can join this data engineering course even with no technical background. However, it's recommended that you have a basic understanding of object-oriented programming languages and at least two years of relevant work experience.
Organizations around the world are looking for ways to leverage data to enhance services, making data engineers a sought-after asset. That being said, some of the more popular industries for data engineers include:
To learn more, please read our refund policy.
We offer 24/7 support through chat for any urgent issues. For other queries, we have a dedicated team that offers email assistance and on-request callbacks.
After completing this program, you will be eligible for the Purdue University Alumni Association membership, giving you access to resources and networking opportunities even after earning your certificate.
Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.