Data Engineering Course by Prashant Gandhi

This Data Engineering Training Course is designed to help learners build strong technical skills required to work with large-scale data systems, modern cloud platforms, and real-world data pipelines. The course is suitable for aspiring data engineers, IT students, software professionals, and career switchers who want to enter the fast-growing field of data engineering.

The program focuses on practical learning, covering essential tools such as SQL, Python, cloud platforms, and modern data processing technologies. Students will gain insights into how data is collected, stored, processed, and transformed into meaningful information for businesses.

Through interactive live online sessions, learners receive personalized guidance to understand industry workflows, develop problem-solving skills, and gain clarity on career pathways in data engineering.

What Students Will Learn

Students enrolling in this course will develop expertise in:

Core Data Engineering Concepts

• Introduction to data engineering and data pipelines

• Understanding data workflows and architectures

• Data processing and transformation techniques

Programming & Data Tools

• Advanced SQL for data querying and optimization

• Python for data engineering tasks

• Working with large datasets using Python libraries

• Data structures and algorithms fundamentals

Big Data & Streaming Technologies

• Introduction to Apache Kafka and real-time data streaming

• Data ingestion and processing concepts

Cloud Data Engineering

• Azure data engineering fundamentals

• Cloud security concepts across AWS, Azure, and GCP

• Understanding cloud-based data storage and processing

Additional Technical Skills

• JavaScript and TypeScript basics

• Web technologies for data-related applications

• Modern development concepts

The course emphasizes hands-on learning and practical industry scenarios.

Teaching Method

The course is conducted through live online interactive sessions, offering personalized mentoring and real-time support. The teaching approach includes:

• Step-by-step technical demonstrations

• Real-world case studies and examples

• Hands-on coding practice

• Career guidance discussions

• Doubt-clearing sessions and feedback

• Personalized learning support

This structured method helps learners understand complex technical concepts clearly.

Why This Tutor

The tutor brings practical industry experience in data engineering and follows a learner-focused teaching style that emphasizes clarity, real-world applications, and problem-solving. The training approach supports both beginners and professionals looking to upgrade their technical skills.

Students receive personalized attention to help them understand career paths and build confidence in their technical abilities.

Benefits & Outcomes

By completing this course, learners will:

• Develop strong data engineering fundamentals

• Gain practical experience with SQL, Python, and cloud tools

• Understand real-world data workflows and pipelines

• Improve technical problem-solving skills

• Prepare for data engineering career opportunities

• Gain clarity on industry trends and skill requirements

This course provides a strong foundation for entering or advancing in the data engineering field.