Udemy – Data Engineering for Beginners: Learn SQL, Python & Spark 2025-2

Udemy – Data Engineering for Beginners: Learn SQL, Python & Spark 2025-2 Downloadly IRSpace

Apr 17, 2025 - 07:04 Updated: Aug 17, 2025 - 10:32

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Udemy – Data Engineering for Beginners: Learn SQL, Python & Spark 2025-2

Data Engineering Essentials using SQL, Python, and PySpark is a project-oriented data engineering training course with SQL, Python and PySpark framework published by Udemy Academy. At the end of this training course, you will be able to create a data pipeline for processing and storing information and perform engineering and data analysis projects alone with the trained techniques and technologies. Data engineering is the process of filtering, storing and processing various data based on the needs and goals of a particular project or research. Data engineering is a general concept and includes many sub-disciplines. At the beginning of this training course, you will get acquainted with the principles and basics of Python and SQL programming languages, and after solving the exercises and projects in this section, you will refer to the next and more advanced topics.

What you will learn in Data Engineering Essentials using SQL, Python, and PySpark

Construction of Data Pipeline with SQL
Postgres database management system
Initial installation of the database and performing simple operations on information such as adding, deleting, updating, etc.
Write simple SQL queries and requests
Filter, integrate and compress data with SQL
Creating indexes and tables in a database environment with DDL commands and commands
Partitioning and categorizing information in the database
Predefined functions in SQL such as manipulating string values and …
Write complex and specific SQL queries with Postgresql
Principles of Python Programming
Implement and perform simple operations in the database with the Python programming language
Conditional commands and loops in Python
List and set in Python
Data types and data types in Python programming
Map and Reduce Libraries in Python
Pandas Library
Initial installation of data engineering application development environment
Types of Spark dataframe APIs such as select, filter, groupBy, orderBy and …
Using different files and formats such as Parquet, JSON, CSV, etc. to build data transmissions

Course specifications

Publisher: Udemy
Instructors: Durga Viswanatha Raju Gadiraju
Language: English
Level: Intermediate
Number of Lessons: 623
Duration: 55 hours and 57 minutes

Course topics

Data Engineering for Beginners_ Learn SQL, Python & Spark

Data Engineering Essentials using SQL, Python, and PySpark Prerequisites

Laptop with decent configuration (Minimum 4 GB RAM and Dual Core)

Setup self support lab on cloud platforms (you might have to pay the applicable cloud fee unless you have credit)

CS or IT degree or prior IT experience is highly desired

Pictures

Data Engineering for Beginners_ Learn SQL, Python & Spark

Introduction Video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: English

Quality: 720p

Previous title:

Data Engineering Essentials Hands-on – SQL, Python and Spark

Data Engineering Essentials using SQL, Python, and PySpark

Changes:

Version 2023/7 compared to 2021/11 has decreased the number of 14 lessons and the duration of 1 hours and 22 minutes.

The 2025/2 version has decreased by 1 lesson and 3 minutes in duration compared to the 2023/7 version.

Udemy – Data Engineering for Beginners: Learn SQL, Python & Spark 2025-2