• Admission closes on 1 Jun, 2024
  • Program Duration 8 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Joint certificate from Purdue university and Simplilearn

IBM’s Industry Prowess

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

Career Assistance

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

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, IBM hackathons, and Ask Me Anything sessions.

Key Features

  • Post Graduate Program Certificate and Alumni Association membership
  • Exclusive Master Classes and Ask me Anything sessions by IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
  • IBM certificates for IBM courses
  • 8X higher live interaction in live Data Engineering online classes by industry experts

Data Engineering Course Advantage

This Data Engineering postgraduate 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.

  • Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Purdue Alumni Association membership
  • 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.

    • Learn the essentials of Python programming
    • Understand the concepts of SQL and NoSQL
    • Learn how to navigate the Hadoop ecosystem and understand how to
    • optimize its use
    • Ingest data using Sqoop, Flume, and Kafka
    • Implement partitioning, bucketing, and indexing in Hive
    • Work with RDD in Apache Spark
    • Process real-time streaming data
    • Perform DataFrame operations in Spark using SQL queries
    • Implement User-Defined Functions (UDF) and User-Defined Attribute
    • Functions (UDAF) in Spark
    • 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.

Electives:
    • 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.

    • Understand how to leverage the functionality of Python
    • Master Apache Spark architecture and how to set up a Python environment for Spark
    • Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
    • Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
    • Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
    • 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

    • Develop expertise in writing Java and NodeJS applications using MongoDB
    • Perform installation, configuration, and maintenance of the MongoDB environment
    • Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
    • Proficiently store unstructured data in MongoDB
    • Develop skill sets for processing vast amounts of data using MongoDB tools
    • Gain proficiency in MongoDB configuration, backup methods, and monitoring.
  • This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.

    • Gain a comprehensive understanding of Java
    • Learn how to use operators in Java
    • Learn about loops in Java
    • The course covers methods in Java.
    • Understand how to work with constructors in Java
    • Gain an understanding of the JUnit framework
  • 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.

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

Industry Projects

  • Project 1

    Market Basket Analysis Using Instacart

    Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.

  • Project 2

    YouTube Video Analysis

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

  • Project 3

    Data Visualization Using Azure Synapse

    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.

  • Project 4

    Data Ingestion EndtoEnd Pipeline

    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.

  • Project 5

    Server Monitoring with AWS

    Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.

  • Project 6

    ECommerce Analytics

    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.

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Program Advisors and Trainers

Program Advisors

  • 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

    20+ years of experience

    Senior Technical Instructor

  • Armando Galeana

    20+ years of experience

    Founder and CEO

  • Makanday Shukla

    15+ years of experience

    Enterprise Architect

  • 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)

11.5 M

Expected New Jobs For Data Analytics And Science Related Roles

Source: US bureau of Labor
50%

YOY Growth For Data Engineer Positions

Source: Dice 2020 report
$76-$200K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Engineering postgraduate program 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

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.

STEP 1

Submit Application

Tell us why you’d want to do this Data Engineering 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 course is $ 2,399. 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.

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 2,399

Apply Now

Program Benefits

  • Earn a program certificate upon completion
  • Exposure to prompt engineering, ChatGPT, generative AI etc
  • 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

      4 Jun, 2024

      10:30 BST

    • Regular Classes

      20 Jul, 2024 - 15 Dec, 2024

      10:30 - 14:30 BST

      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 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.

  • What are the responsibilities of a Data 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.

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

    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!

    Discover More Data Management Courses Today.

  • 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 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.

  • 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 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.

  • 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.

  • What is the average salary of a Data Engineer?

    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.

  • 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.

  • Which are the top industries suitable for Data Engineering professionals?

    The top industries that are suitable for Big Data professionals are:

    • Medicine and healthcare
    • Banking
    • Information technology
    • Education
    • Retail
    • Ecommerce

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

    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.

  • Who are the instructors, and how are they selected?

    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.

  • Can I get a refund if I want to cancel my enrollment for this Data Engineering Course?

    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.

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

    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.

  • What is Global Teaching Assistance?

    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.

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