Python for Data Engineers

From Basics to Advanced Data Structures – with Real Interview Practice


This course is designed to build a rock-solid foundation in Python, specifically tailored for Data Engineers, Analysts, and Software/Data roles. Whether you’re a student, fresher, or working professional, this program takes you from zero to interview-ready with structured learning, hands-on coding, and deep conceptual clarity.


What makes this course different?

  • Step-by-step Python learning (no gaps, no assumptions)
  • Strong focus on logic, data structures, and problem-solving
  • Interview-oriented approach, not just theory
  • Assignments that actually prepare you for real interviews


Enroll Yourself Now

Course Curriculum

Follow this structured learning path to master python programming language and data structures

1

Getting Started with Python - Basics

This module builds strong Python fundamentals, explains how Python executes code internally, and covers core language concepts with hands-on practice.

  • Introduction to Python
  • Source file to byte code to machine code conversion
  • Python PyCharm and Jupyter Notebook setup guide
  • Comments in Python
  • Variables and id function
  • Variable naming convention
  • Data types and type function
  • print() function in Python
  • Escape sequences
  • Import in Python
  • Keywords and kwlist
  • Operators arithmetic relational logical bitwise assignment identity membership
  • input() function and type conversion
  • bin ord and chr functions
  • eval function
2

Decision making and looping constructs

This module focuses on control flow and looping constructs in Python to implement decision-making and repetitive logic effectively.

  • Decision control and if statement
  • If else and if elif else ladder
  • Single line if else
  • While loop fundamentals
  • Break and continue keywords
  • For loop and range function
  • Loop recap and logical flow
  • For and while loop with else
  • Prime number logic
  • LCM and HCF logic
  • Pass keyword
3

Core data structures in python

This module covers Python collections and string manipulation to efficiently store, process, and transform data.

  • List and important functions
  • Deleting list elements and clear function
  • Editing list elements
  • Packing and unpacking in lists
  • sorted() and sort() functions
  • List operators and operations
  • Array vs list
  • Two dimensional list
  • List comprehension
  • enumerate() and its use cases
  • String and important functions
  • replace() split() and join() functions
  • String slicing operator
  • Tuple in Python
  • Tuple functions
  • Set in Python
  • Set functions
  • Dictionary in Python
  • Dictionary functions
  • Dictionary comprehension
  • Sorting dictionary based on key and value
4

Function, recursion and advanced python concepts

This module explains function design, argument handling, recursion, and advanced functional concepts in Python.

  • Function and types of functions in Python
  • Function arguments positional and default
  • Keyword arguments in functions
  • Local vs global variables
  • Variable length arguments *args and **kwargs
  • Recursion and backtracking concepts
  • Recursion tree and recursion flow
  • Lambda functions
  • Important built-in functions
  • name == “main” concept
  • Decorators generators and iterators
5

Object oriented programming in python

This module introduces object-oriented programming concepts to design modular, reusable, and scalable Python applications.

  • Class
  • Objects
  • Encapsulation
  • Polymorphism
  • Abstraction
  • Inheritance
6

Searching and sorting in python

This module covers core searching and sorting techniques used to organize data efficiently and optimize algorithmic performance.

  • Linear search
  • Binary search
  • Sorting programs - merge sort, insertion sort, quick sort, etc.
7

Advanced Data Structures in python

This module introduces fundamental linear data structures used to store, access, and manipulate data efficiently.

  • Singly linked list
  • Doubly linked list
  • Circular linked list
  • Stack
  • Implementation of stack
  • Queue
  • Deque
  • Priority queue
8

Important interview Programs

Ease your interview after completing this module

  • 200+ Interview coding questions

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