Advanced Data Engineering Essentials

The Data Engineer course is a comprehensive 40-hour program designed to equip students with the essential skills and knowledge needed to excel in the field of data engineering. This course focuses on advanced data manipulation and ETL (Extract, Transform, Load) techniques, database design and management, big data technologies, distributed computing, and data warehousing and integration. Through hands-on exercises and real-world examples, students will gain practical experience in managing and optimizing data pipelines, designing efficient databases, working with big data frameworks, and integrating data from various sources. By completing this course, students will be well-prepared to pursue a career as a Data Engineer and contribute effectively to data-driven organizations. 

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Course Date

1st December 2023

Duration

40 hrs.

Delivery Format

Online Live

Why to Join This Course

Earn a program completion certificate from the prestigious E&ICT Academy, IIT Kanpur.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Engage in hands-on projects tailored to different industry sectors.

Join Our Advanced Data Engineering Essentials Today!

Ready to embark on a transformative learning journey? Don’t miss this opportunity to gain valuable skills and elevate your career. Enroll in our comprehensive course today and join a community of learners dedicated to excellence. Take the first step towards unlocking your full potential!

Course Price

₹19,900.00

Key Features

Earn a program completion certificate.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Top-notch curriculum with integrated labs
Engage in hands-on projects tailored to different industry sectors.
Explore and apply practical tools and frameworks that can significantly enhance your work.
Enjoy smooth access to integrated labs for a seamless learning experience
Conclude the program with capstone projects spanning three distinct domains

Curriculum for Advanced Data Engineering Essentials

Module 1: Advanced Data Manipulation and ETL (10 hours) 

  • Overview of ETL processes 
  • Advanced data manipulation techniques 
  • Data validation and quality assurance 
  • Error handling and exception management 
  • Automation of ETL workflows 

Module 2: Database Design and Management (10 hours) 

  • Database architecture and design principles 
  • Relational database management systems (RDBMS) 
  • Indexing and query optimization 
  • Data modeling and normalization 
  • Performance tuning and monitoring 

Module 3: Big Data Technologies and Distributed Computing (10 hours) 

  • Introduction to big data technologies 
  • Distributed file systems (e.g., Hadoop Distributed File System) 
  • Big data processing frameworks (e.g., Apache Spark) 
  • Scalable data storage and retrieval 
  • Parallel processing and distributed computing 

Module 4: Data Warehousing and Data Integration (10 hours) 

  • Data warehousing concepts and architecture 
  • Dimensional modeling and star schema design 
  • ETL for data integration and transformation 
  • Data staging and data mart development 
  • Metadata management and data lineage

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Eligibility Criteria

For admission to this Professional Certificate course in Data Science Engineer Course, candidates should have: 

  • Basic Programming Knowledge 
  • Database Fundamentals 
  • Data Analytics Basics 
  • Mathematics and Statistics (recommended but not mandatory) 
  • Data Analysis Tools (e.g., Pandas, NumPy, SQL) (recommended but not mandatory)

Course Outcomes

Upon completion of this course, students will be able to: 

  1. Perform advanced data manipulation and transformation using ETL techniques.
  2. Design and implement databases with optimal performance and scalability.
  3. Utilize big data technologies and distributed computing frameworks to process and analyze large-scale datasets.
  4. Develop strategies for data warehousing and integrating data from multiple sources.
  5. Create end-to-end data engineering solutions to meet business requirements.

FAQ for Advanced Data Engineering Essentials Course

For admission to this Data Engineer course, candidates should have: 

  • A bachelor’s degree with an average of 50 percent or higher marks 
  • Prior work experience is not mandatory 
  • Can be from a programming or non-programming background 

The admission process for this Data Engineer 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, which can then be accepted by the candidate by paying the program fee. 

As a part of this Data Engineer course you will receive the following: 

  •  Masterclasses delivered by distinguished IIT Kanpur faculty 
  • Program completion certificate from E&ICT Academy, IIT Kanpur 
  • Ikigai Career Assistance post-completion of this program 

Upon successful completion of this Data Engineer course, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, and industry-recognized certification from Ikigai for courses in the learning path. 

This Data Science Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. 

We offer 24/7 support through email, chat, and calls. 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 the completion of your Deep Learning and Generative AI course.

Contact us using the form on the right side of any page on the Ikigai website, select the Live Chat link, or contact Help & Support. 

Admission Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
1

Submit Application 

Tell us a bit about yourself and why you want to do this program 

2

Application Review 

An admission panel will shortlist candidates based on their application 

3

Enrolment

Selected candidates can join the program by paying the admission fee 

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