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  • Next Cohort starts 8 May, 2023
  • Program Duration 8 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Joint certificate from Purdue university and Simplilearn

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain IBM certificates for IBM courses and get access to masterclasses by IBM

Career Mentorship

Career Mentorship

Build your resume and prepare for interviews with valuable insights from industry experts

Hands-on Experience

Hands-on Experience

14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Engineering Course Overview

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, masterclasses, IBM hackathons, and Ask Me Anything sessions.

Key Features

  • Professional Certificate Program Certificate and Alumni Association membership
  • Exclusive Master Classes and Ask me Anything sessions by IBM
  • 8X higher live interaction in live Data Engineering online classes by industry experts
  • Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
  • Master Classes delivered by Purdue faculty and IBM experts

Data Engineering Course Advantage

This Data Engineering certification course in partnership with Purdue University leverages Purdue’s academic excellence & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.

  • Purdue Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue Alumni Association membership
  • IBM Certificate

    PROGRAM IN COLLABORATION WITH IBM

    • Industry-recognized IBM certificates for IBM courses
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

Data Engineering Course Details

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.

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.

  • With this Data Engineering certification course, you will gain insights into how to improve business productivity by processing large volumes of data and extracting valuable information.

  • Data Engineering certification 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 course 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 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 certification 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 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.

Electives:
  • Data Engineering certification 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 certification 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 certification 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 course, 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.

  • If you’re looking to master web application development for virtually any computing platform, this Java Certification Training course is for you. This training course will give you a firm foundation in Java, the most commonly used programming language in software development.

  • Industry Master Class – Data Engineering

  • Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.

Skills Covered

  • Real Time Data Processing
  • Data Pipelining
  • Big Data Analytics
  • Data Visualization
  • Provisioning data storage services
  • Apache Hadoop
  • Ingesting Streaming and Batch Data
  • Transforming Data
  • Implementing Security Requirements
  • Data Protection
  • Encryption Techniques
  • Data Governance and Compliance Controls

Tools Covered

Amazon EMRAmazon QuicksightAmazon RedshiftAmazon Sagemakerkafkamongodbpythonscalaspark.Azure Blob Storageazure cosmos dbAzure Data FactoryAzure Data LakeAzure DatabricksAzure Stream AnalyticsAzure Synapse Analyticsazure SQL database

Industry Projects

  • Project 1

    Social Media

    Help Facebook implement a continuous monitoring system that detects sentiment changes in a social media feed to respond to the sentiment in near real time.

    Social Media
  • Project 2

    Online Streaming

    Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.

    Online Streaming
  • Project 3

    Employment Sevices

    Perform Data Analysis to determine features and relationships impacting employee satisfaction and derive actionable insights utilizing Glassdoor data sets

    Employment Sevices
  • Project 4

    Ecommerce

    Launch new digital marketing campaigns for various categories for different brands to come up with a new Christmas deal for Amazon

    Ecommerce
  • Project 5

    Banking Financial Services and Insurance

    analyze road traffic and accidents and also the weather data and derive valuable insights for an Insurance Company

  • Project 6

    Truegate S3 Replication Big Data Assignment

    Use a big data stack to make sure all existing and new objects from S3 buckets are replicated successfully and without any failures.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors and Trainers

Program Advisors

  • Aly El Gamal

    Aly El Gamal

    Assistant Professor, Purdue University

    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.

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Program Trainers

  • Wyatt Frelot

    Wyatt Frelot

    20+ years of experience

    Senior Technical Instructor

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO

  • Makanday Shukla

    Makanday Shukla

    15+ years of experience

    Enterprise Architect

  • Amit Singh

    Amit Singh

    12+ years of experience

    Technical Architect

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Join the Data Engineering Domain

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)

Job Icon11.5 M

Expected New Jobs For Data Analytics And Science Related Roles

Source: US bureau of Labor
Job Icon50%

YOY Growth For Data Engineer Positions

Source: Dice 2020 report
Job Icon$76-$200K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Engineering certification course caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 40%Software Product - 15%BFSI - 15%Manufacturing - 15%Others - 15%
    Companies
    Microsoft
    Amazon
    IBM
    Accenture
    Deloitte
    Ericsson

Learner Reviews

Admission Details

Application Process

Candidates can apply to this Data Engineering certification course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.

STEP 1

Submit Application

Tell us why you’d want to do this Data Engineering certification course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

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:

2+ years of work experience (preferred)
A bachelor's degree with an average of 50% or higher marks
Basic understanding of object-oriented programming

Admission Fee & Financing

The admission fee for this Data Engineering certification course is € 2.590. 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.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Splitit

One Time Payment

Make hassle-free one-time payment with following options and save on admission fees

  • Credit Card
  • Paypal

€ 2.590

Apply Now

Program Benefits

  • Take this Data Engineering certification course as you work
  • Rigorous curriculum designed by industry experts
  • Purdue Alumni Association Membership from Purdue University
  • 50% annual growth in job openings
  • Active recruiters include Google, Microsoft, Amazon and more

Program Cohorts

Next Cohort

    • Date

      Time

      Batch Type

    • Program Induction

      8 May, 2023

      15:30 CEST

    • Regular Classes

      24 Jun, 2023 - 31 Dec, 2023

      15:30 - 19:30 CEST

      Weekend (Sat - Sun)

Other Cohorts

    • Date

      Time

      Batch Type

    • Program Induction

      27 Mar, 2023

      15:30 CEST

    • Regular Classes

      23 Apr, 2023 - 29 Oct, 2023

      15:30 - 19:30 CEST

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

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 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.

  • What are the different roles in Data Engineering?

    Upon completing this Data Engineering certification course, you can apply for various job roles like Big Data Engineer, Data Analyst, professional data engineer, or Data Warehouse Engineer.

  • What are the benefits of taking this Data Engineering course?

    Certification validates your expertise in the field of Data Engineering. 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! 

  • What are the top modules included in this Data Engineering Course?

    Simplilearn’s Data Engineering Course gives you a clear understanding of Big Data and Data Engineering concepts with easy-to-follow courses, namely:

    • Big Data Hadoop and Spark Developer
    • AWS Tech Essentials
    • Big Data on AWS
    • Azure Fundamentals
    • Azure Data Engineer
    • Data Engineer Capstone
    • Python for Data Science
    • PySpark
    • Apache Kafka
    • MongoDB
    • Google Cloud Platform Fundamentals
    • Java

  • What are the roles and responsibilities of a Data Engineer?

    Although the niche job role can change depending on the organization, in general, a Data Engineer is supposed to design, create, test, and maintain the data management and processing systems. In addition to that, a Data Engineer also builds scalable, robust, and fault-tolerant systems, and discover data acquisition opportunities, and create data models to reduce system complexities and introduce new data management tools into the existing systems to make them more efficient.

  • What is the eligibility criteria for this Data Engineering Course?

    For admission to this Data Engineering Course, candidates need:

    • A bachelor’s degree with an average of 50% or higher marks
    • 2+ years of work experience (preferred)
    • Basic understanding of object oriented programming (preferred)

  • What is the admission process for this Data Engineering course?

    The admission process for Data Engineering course consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • I am not from a technical background. Can I still join this Data Engineering Course?

    Yes, you can join the Data Engineer Course even if you do not belong to a technical background. However, having a good hand at object-oriented programming languages will be beneficial.

  • Is there any financial aid provided to pursue this Data Engineer course?

    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.

  • What should I expect from this Data Engineering course?

    As a part of this Data Engineering course, in collaboration with IBM, you will receive the following

    • Professional Certificate Program certificate
    • Industry recognized certificates  from IBM(for IBM courses) and Simplilearn
    • Purdue Alumni Association membership
    • Lifetime access to all core e-learning content created by Simplilearn

  • Is there any minimum educational qualification required to apply for this Data Engineering Course?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in this Data Engineering Course.

  • How will my doubts be addressed while pursuing this Data Engineering certification course?

    We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering certification course.

  • How do I know if Simplilearn's Data Engineering Course is best for me?

    Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering Course is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the Data Engineering Course just the right one for you!

  • My current role does not include exposure to data. Does it make sense for me to opt for this Data Engineer 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.

  • What Data Engineer certifications will I receive?

    Upon successful completion of this Data Engineering certification course, you will be awarded a Professional Certificate Program in Data Engineering joint certification by Simplilearn and Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.

  • Will I become alumni of Purdue University after completion of the Data Engineering course?

    You will get eligibility to Purdue Alumni Association Membership after completion of the Data Engineering course.

  • Will any preparation material be provided to help me get started?

    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.

  • Can I enroll in this Data Engineering course if I don't have any prior knowledge in Big Data and Data Engineering?

    Yes, you can enroll in the Data Engineering ccourse even if you don’t have any prior knowledge in Data Engineering since this program will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Engineering skills.

  • What is Global Teaching Assistance?

    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.

  • Who are the instructors and how are they selected?

    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.

  • Will I be able to access the content after completion of the Data Engineering course?

    Yes, you can access the Data Engineering course content even after the completion of the program.

  • I am not able to access the Data Engineering Course modules. Who can help me?

    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.

  • What is covered under the Data Engineering Course 24/7 Support promise?

    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.

  • If I want to cancel my enrollment for this Data Engineering Course, can I get a refund?

    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 on a non-credit basis and is not transferable to a degree.

  • How will this Data Engineering certification course help me to start my career as a Data Engineer?

    Simplilearn’s Data Engineering certification course helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills 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.

  • How is Simplilearn’s Data Engineering certification course different from other online certifications available in the market?

    There are only a few courses in the market that offer a university degree along with industrial exposure through a renowned tech company. This Data Engineering certification course is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance.

  • What is the weekly time commitment expected from me for this Data Engineering course?

    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.

  • Are there any system requirements to take up this Data Engineering certification course?

    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.

  • What should I study to become a Data Engineer?

    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.

  • What is the average salary of a Data Engineer?

    Data Engineers command lucrative salaries across the world. They earn an average annual salary of Rs. 830K in India, £43,725 in the UK, $116,591 in the US, CA $80K in Canada, and AU$ 103,346 in Australia.

  • What is the Capstone Project all about and how exactly would it help me?

    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.

  • Is Data Engineering a good career? Are Data Engineers in demand?

    With the ongoing wave of digital transformation, artificial intelligence, and automation, the demand for professionals to have data analytics skills has increased. So, Data Engineering is a promising career option, and with low supply, the companies are even ready to pay higher salaries to the right candidates. Our Data Engineering certification course will help you develop all the required skills and become industry-ready.

  • Do Data Engineers require prior coding experience?

    Yes, Data Engineers are expected to have basic programming skills in Java, Python, R or any other language.

  • Do I need to learn the course modules in a specific order?

    Yes, we recommend you to follow the courses as mentioned in the learning path of this Data Engineer certification course. The aim here is to give you step-by-step guidance.

  • What are the key topics covered in this Data Engineering certification course?

    Simplilearn’s Data Engineer certification course covers the following important topics:

    • Data engineering with Scala and Hadoop
    • AWS security measures and database options
    • AWS big data processing services
    • Azure active directory
    • Azure stream analytics

  • What are the courses offered by simplilearn in Data science and Artificial Intelligence Domain?

    Simplilearn offers multiple courses on Data Science and AI domain which are listed below:

    Courses:

    Master's Program:

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.