Data Engineering With Python, Sql & Spark Full Stack Course
Last updated 7/2026
Created by Kasi Gopi
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All
Levels |
Genre: eLearning |
Language: English |
Duration: 69 Lectures ( 47h 2m ) |
Size: 19.1 GB
Master Data Engineering from scratch to advanced and Learn Python, SQL, GIT, DSA and Docker and many more with Projects
What you'll learn
⚡ Learn the fundamentals of data engineering, including databases, data warehousing, ETL pipelines, and big data concepts from beginner to advanced level.
⚡ Build scalable data pipelines using modern tools and technologies such as SQL, Python, Apache Spark, Hadoop, Kafka, and cloud platforms.
⚡ Master data processing, transformation, storage, and analytics techniques for handling real-world structured and unstructured data.
⚡ Develop hands-on experience through practical projects, cloud integration, and industry-standard workflows to become a job-ready data engineer.
Requirements
❗ You will learn from scratch and You do not need to have any experience in this course
Description
The Complete Data Engineering Bootcamp from Beginner to Advanced is a comprehensive and industry-focused program designed to transform beginners into confident and skilled data engineering professionals. Whether you are a student, software developer, database administrator, analyst, or someone curious about big data technologies, this course provides a step-by-step roadmap to mastering modern data engineering concepts and tools used by top technology companies worldwide.
In this bootcamp, you will begin with the fundamentals of data engineering, understanding how data flows through modern systems and how organizations collect, process, store, and analyze massive amounts of information. You will learn essential database concepts, SQL programming, data modeling, and data warehousing techniques that form the foundation of every successful data engineering pipeline.
This bootcamp emphasizes practical learning through projects, exercises, and real-world scenarios. You will build data pipelines, automate workflows, manage streaming data, optimize databases, and work with structured as well as unstructured data. By the end of the course, you will understand how enterprise-level data systems are designed and maintained efficiently.
By completing this bootcamp, you will gain the confidence and practical skills required to pursue careers such as Data Engineer, Big Data Engineer, ETL Developer, Cloud Data Engineer, Analytics Engineer, or Data Platform Developer. You will also develop a strong portfolio of projects that demonstrate your expertise to employers and clients.
Who this course is for
⭐ It is for anyone who wants to master Data Engineering from beginner to Advanced
Homepage
Код:
https://www.udemy.com/course/complete-data-engineering-bootcamp-from-beginner-to-advanced
Data Engineering With Python, Sql & Spark Full Stack Course
