The FAANG-ready Data Engineer course is designed to equip aspiring data engineers with the fundamental knowledge, practical skills, and advanced techniques necessary to excel in data engineering roles at top-tier technology companies like FAANG. Through a comprehensive curriculum, students will progress from mastering SQL fundamentals to building advanced data pipelines and preparing for FAANG-level technical interviews.
Highlights of What You Will Learn:
SQL Fundamentals: Students will gain a deep understanding of relational databases and master essential SQL commands for data retrieval, manipulation, and analysis.
Python Basics for Data Engineering: Through hands-on practice and project-based learning, students will develop proficiency in Python programming, including data structures, control flow, error handling, and algorithmic problem-solving.
Introduction to PySpark: Students will be introduced to PySpark, learning how to set up environments, work with SparkSession and DataFrames, and perform data transformation and manipulation tasks using PySpark’s powerful API.
Curriculum
- 3 Sections
- 21 Lessons
- 8 Weeks
- SQL Fundamentals6
- Python Basics for Data Engineering9
- 2.1Introduction to Python Programming
- 2.2Data Structures: Lists, Tuples, Dictionaries
- 2.3Control Flow: Conditionals and Loops
- 2.4Functions and Modules
- 2.5File Handling and Input/Output Operations
- 2.6Error Handling and Exception
- 2.7Introduction to Algorithms and Problem Solving
- 2.8Array Manipulation and String Operations
- 2.9Recursion and Iteration Techniques
- Introduction to PySpark6
