Professional Certificate Program in Data Engineering
Develop Advanced Data Skills with a Big Data Engineer Course
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.
- Application closes on 23 Aug, 2024
- Program duration 32 weeks
- Learning Format Online Bootcamp
Why Join this Program
- Earn an Elite Certificate
Joint program completion certificate from Purdue University Online and Simplilearn
- Leverage the Purdue Edge
Gain access to Purdue’s Alumni Association membership on program completion
- Certification Aligned
Learn courses that are aligned with AWS, Microsoft, and Snowflake certifications
- Career Assistance
Build your resume and highlight your profile to recruiters with our career assistance services.
World’s #1 Online Bootcamp
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Data Engineering Course Overview
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.
Key Features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Program completion certificate from Purdue University Online and Simplilearn
- Access to Purdue’s Alumni Association membership on program completion
- 150+ hours of core curriculum delivered in live online classes by industry experts
Data Engineering Course Advantage
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.
Partnering with Purdue University
- Receive a joint Purdue-Simplilearn certificate
- An opportunity to get Purdue’s Alumni Association membership
Data Engineering Course Details
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.
Learning Path
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.
- Procedural and OOP understanding
- Python and IDE installation
- Jupyter Notebook usage mastery
- Implementing identifiers, indentations, comments
- Python data types, operators, string identification
- Types of Python loops comprehension
- Variable scope in functions exploration
- OOP explanation and characteristics
- Databases and their interconnections.
- Popular query tools and handle SQL commands.
- Transactions, table creation, and utilizing views.
- Execute stored procedures for complex operations.
- SQL functions, including those related to strings, mathematics, date and time, and pattern matching.
- Functions related to user access control to ensure the security of databases.
- Understanding MongoDB
- Document structure and schema design
- Data modeling for scalability
- CRUD operations and querying
- Indexing and performance optimization
- Security and access control
- Data management and processing
- Integration and scalability
- Developing data pipelines
- Monitoring and performance optimization
- Hadoop ecosystem and optimization
- Ingest data using Sqoop, Flume, and Kafka
- Partitioning, bucketing, and indexing in Hive
- RDD in Apache Spark
- Process real-time streaming data
- DataFrame operations in Spark using SQL queries
- User-Defined Functions (UDF) and User-Defined Attribute
- Functions (UDAF) in Spark
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Understand the fundamental concepts of the AWS platform and cloud
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computing
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Identify AWS concepts, terminologies, benefits, and deployment
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options to meet business requirements
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Identify deployment and network options in AWS
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- Data engineering fundamentals
- Data ingestion and transformation
- Orchestration of data pipelines
- Data store management
- Data cataloging systems
- Data lifecycle management
- Design data models and schema evolution
- Automate data processing by using AWS services
- Maintain and monitor data pipelines
- Data Security and Governance
- authentication mechanisms
- authorization mechanisms
- data encryption and masking
- Prepare logs for audit
- data privacy and governance
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Describe Azure storage and create Azure web apps
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Deploy databases in Azure
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Understand Azure AD, cloud computing, Azure, and Azure
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subscriptions
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Create and configure VMs in Microsoft Azure
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Implement data storage solutions using Azure SQL Database, Azure
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Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,
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Azure Stream Analytics, Azure Databricks services
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Develop batch processing and streaming solutions
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Monitor Data Storage and Data Processing
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Optimize Azure Data Solutions
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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.
Electives:
- Attend live generative AI masterclasses and learn how to leverage it to streamline workflows and enhance efficiency.
- Conducted by industry experts, these masterclasses delve deep into AI-powered creativity.
- Snowflake structure
- Overview and Architecture
- Data protection features
- Cloning
- Time travel
- Metadata and caching in Snowflake
- Query performance
- Data Loading
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.
Program Advisors and Trainers
Program Advisors
Aly El Gamal
Assistant Professor, Purdue UniversityAly 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.
Program Trainers
Wyatt Frelot
20+ years of experienceSenior Technical Instructor
Armando Galeana
20+ years of experienceFounder and CEO
Makanday Shukla
15+ years of experienceEnterprise Architect
Amit Singh
12+ years of experienceTechnical Architect
Career Support
Simplilearn Career Assistance
Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview
Get a Resume Makeover from TopResume
Reach numerous employers with ResumeRabbit
Complete Candidate Confidentiality Assured
Batch Profile
The Professional Certificate Program in Data Engineering caters to working professionals across different industries. Learner diversity adds richness to class discussions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 40%Software Product - 15%BFSI - 15%Manufacturing - 15%Others - 15%Companies
Learner Reviews
Admission Details
Application Process
Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Submit Application
Tell us why you’d want to do this Data Engineering course
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can begin the Data Engineering course within 1-2 weeks
Eligibility Criteria
For admission to this Data Engineering course, candidates should have:
Admission Fee & Financing
The admission fee for this Data Engineering course is $ 3,850. It covers applicable program charges and the Purdue Alumni Association membership fee.
Financing Options
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.
Total Program Fee
$ 3,850
Pay In Installments, as low as
You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.
Apply Now
Program Benefits
- Program Certificate from Purdue Online and Simplilearn
- Access to Purdue’s Alumni Association membership
- Courses aligned with AWS, Azure, and Snowflake certification
- Case studies on top firms like Uber, Nvidia, RBS and Netflix
- Active recruiters include Google, Microsoft, Amazon and more
Program Cohorts
Next Cohort
Data Engineering Course FAQs
What is Data Engineering?
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.
What does a Data Engineer do?
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:
- Acquiring big data sets from different data warehouses
- Cleaning those big data sets and finding any errors
- Removing any form of duplications that may occur
- Converting the cleaned data into a readable format
- Interpreting data to provide reliable information for better decisions
What are the benefits of taking this Data Engineering course?
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:
- Joint certificate from Purdue University Online and Simplilearn
- Masterclasses from top Purdue Faculty and industry experts at IBM
- Eligibility for Purdue's Alumni Association Membership
- Exclusive mentoring sessions and hackathons by IBM
- Live sessions on the latest AI trends, like generative AI, prompt engineering and explainable AI
Who are the instructors, and how are they selected?
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.
How do I enroll in the Data Engineering Course?
The admission process for data engineering course consists of three simple steps:
- First, candidates must submit an application detailing their motivation for the course.
- Next, an admission panel will review the applications and shortlist candidates based on their submissions.
- Finally, selected candidates can begin learning within 1-2 weeks.
Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.
What is the average salary of a Data Engineer?
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:
- India: INR 8.9 Lakhs
- US: USD 97,052
- Canada: CAD 85,799
- UK: GBP 43,730
- Australia:AUD 100,179
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.