Data Engineering for Beginners: Learn SQL, Python & Spark

Learn the fundamentals of Data Engineering with SQL, Python, and Apache Spark in this hands-on, beginner-friendly session. Gain essential skills to process, transform, and analyze data efficiently.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Levels
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Batch One
Wednesday, May 14, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Two
Wednesday, June 11, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Three
Wednesday, July 09, 2025
12:00 PM - 03:00 PM (Eastern Time)
Batch Four
Wednesday, August 13, 2025
12:00 PM - 03:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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About the Course:

This live training is designed for beginners who want to kickstart their journey into Data Engineering. You’ll learn the core concepts of working with data, using SQL for querying databases, Python for data processing, and Apache Spark for big data analytics. The session will be hands-on, with practical exercises and real-world examples to help you build a strong foundation in data engineering.

Course Objective:

  • Understand the role of a Data Engineer and industry use cases
  • Learn SQL fundamentals for data querying and transformation
  • Use Python for data manipulation and automation
  • Explore Apache Spark and its applications in big data processing
  • Work on hands-on exercises to solidify your learning

Who is the Target Audience?

  • Aspiring Data Engineers & Data Analysts
  • Software Developers looking to expand into data engineering
  • Data Science Enthusiasts who want to understand data pipelines
  • Anyone interested in handling and processing large datasets

Basic Knowledge:

  • Basic programming knowledge (preferably in Python)
  • Familiarity with databases & SQL (helpful but not required)

Curriculum
Total Duration: 3 Hours
Introduction to Data Engineering

  • Role, Responsibilities, and Tools  

SQL Basics for Data Engineers

  • Writing queries, Joins, Aggregations  

Python for Data Engineering

  • Pandas, Data Wrangling, File Handling  

Introduction to Apache Spark

  • Basics, Architecture, Data Frames, PySpark  

Building a Simple Data Pipeline

  • Connecting SQL, Python & Spark  

Live Hands-on Exercises