Duration 6 months
Top subjects you will learn : AWS, Spark, Cassandra, Kafka, Python, Hadoop, NIFI, Airflow, Flume
Job Opportunities : Data Engineer, Big Data Consultant, Data Analyst, ETL Developer, Big Data Developer
This course is designed for whom? Engineers, Freshers, Domain Experts, Software & IT Professionals
Eligibility criteria: Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Expert Coaching session
Programming tools / Language
540+ hours of Live Learning Session
100% Placement Support
Hands on training from Industrial Expert
Exclusive Mentoring One to One Sessions
Masterclasses from Top Industry Specialists
Relevant case studies from the Industry Projects
Building network with like-minded professionals
Resume Tool &
Global Access to Job Opportunities
25+ industry-driven case studies
~ Tim Berners-Lee
All eligible candidates will receive placement assistance for 6 months after every program completion.
Candidates take up application based hands-on capstone projects to apply their learning to real-life business problems.
We give free career counselling that you don’t want to miss. Speak with our Advisor to learn more about the courses.
We won’t spam you with emails or call you a hundred times. Let us know what you are looking for, our team will reach out to schedule time with you.
Our support team will be in touch very soon. We try to respond to all requests within 24 hours. Support hours are from Monday to Saturday between 10 am to 6pm.
Stay in touch.
In 2019, the average salary for data engineers overtook data scientists. How did this happen? Companies wanting to find the gold within their data realized it wasn’t possible if they hadn’t yet built the mine. Data engineers lay the foundations that make data science possible.
The key to understanding what data engineering lies in the “engineering” part. Engineers design and build things. “Data” engineers design and build pipelines that transform and transport data into a format wherein, by the time it reaches the Data Scientists or other end users, it is in a highly usable state. These pipelines must take data from many disparate sources and collect them into a single warehouse that represents the data uniformly as a single source of truth.
In this course, of “PG PROGRAM IN DATA ENGINEERING AND DATA ANALYTICS” you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization.