Data Engineering

"Data is the new oil, it must be refined to be valuable."

– Clive Humby

411 % Rise Demand

Coding Mastery

Up to 53 LPA

Duration

4 months

Modules

51

Capstone Projects

10+

Language

English

Skill level

Beginner

Maximum Students

20

Certificate

Yes

Placement Assistance

Life time

Access

Life time

Course Overview

Data is the backbone of modern industries, driving decisions and innovations. As a Data Engineer, you will design and manage systems that process vast amounts of information efficiently. This course starts with Python, SQL, and ETL fundamentals, then moves into Big Data technologies like Hadoop, Spark, and Hive to help you build scalable data pipelines.

You will also learn how to work with cloud platforms like AWS, GCP, and Databricks, optimize workflows, and implement real-world data solutions. By the end of the program, you’ll have the skills and confidence to take on high-demand Data Engineering roles in top companies.

What You’ll Experience

Syllabus

Core Data Foundations

Learning Outcomes

Who Should Enroll?

Aspiring Data
Professionals

Those new to data, AI, and analytics looking to launch a career in these high-demand fields.

Business
Professionals

Individuals aiming to leverage data-driven decision-making in their roles.

Career
Switchers

Professionals from different backgrounds who want to pivot into data analytics.

Students & Fresh
Graduates

Anyone seeking to build foundational skills for a future in data analytics.

Sample Certification

A Mark of Excellence

TeqCertify | NASSCOM & ISO Certified | Globally Recognized Credentials | Elevate Skills, Validate Expertise, Unlock Opportunities!

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