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Data Structures and Algorithms in Python Intermediate

The Data Structures and Algorithms in Python course by Koenig Original equips software developers and aspiring data engineers with core problem-solving skills to optimize code efficiency and tackle complex programming challenges. It covers essential topics including recursion, sorting, trees, graphs, and hash tables, directly addressing the industry need for engineers who can design high-performance applications—over 85% of top tech firms evaluate DSA proficiency in technical interviews.

This course prepares learners for the Koenig Original Data Structures and Algorithms in Python certification, featuring 30-day lab access for hands-on practice. Graduates gain the expertise to confidently clear coding rounds, optimize real-world data workflows, and advance into senior development roles.

40 Hours (5 Days)
Live Online / Classroom
0+ professionals trained

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Course Overview

The Data Structures and Algorithms in Python course by Koenig Original is designed to equip learners with foundational and advanced programming skills essential for solving complex computational problems efficiently. This intermediate-level training targets software developers, data analysts, and computer science graduates preparing for technical interviews at top tech firms. Industry demand remains strong, with over 80% of software development roles requiring proficiency in algorithms and data structures, particularly in fields like artificial intelligence, data engineering, and competitive programming. The curriculum covers core concepts such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables, along with algorithm design techniques including recursion, sorting, searching, and dynamic programming, all implemented using Python.

Students engage in extensive hands-on labs using Python’s built-in data types and standard libraries, practicing on real coding environments such as Jupyter Notebook and VS Code. The course includes guided implementation of key algorithms like merge sort, quick sort, depth-first search, and Dijkstra’s shortest path, with lab exercises focused on building custom data structures from scratch. Participants configure and test binary search trees, heaps, and graph traversal systems, culminating in a real-world project that simulates optimizing a delivery route using graph algorithms. These labs are delivered through Koenig’s live online platform, ensuring direct instructor interaction and immediate feedback during coding exercises.

Completion of the Data Structures and Algorithms in Python program prepares candidates for global recognition in software development and enhances readiness for technical certifications and coding interviews at leading technology companies. Graduates report an average salary increase of up to 40%, with entry-level developers earning between $90,000 and $130,000 annually in competitive markets. Koenig Original differentiates itself with a Guaranteed-to-Run batch system and optional 1-on-1 training, ensuring personalized learning regardless of cohort size. By mastering these critical skills, learners position themselves for advanced roles such as algorithm engineer, data scientist, or systems architect in high-performance computing environments.

What You'll Learn

Evaluate algorithm performance with Big-O notation to improve code efficiency in Python
Implement essential data structures in Python within Koenig's hands-on labs
Design recursive algorithms to solve complex problems efficiently
Apply Koenig's Python methods to tackle sorting challenges effectively
Construct graph algorithms using Python to solve network problems
Enhance dynamic programming solutions in Koenig labs for optimal performance

Prerequisites

Recommended knowledge before taking this course
  • Experience with Python 3.x syntax, including variables, control flow, loops, and function definitions.
  • Familiarity with the Python standard library and core data types such as lists, dictionaries, tuples, and sets.
  • Basic understanding of time complexity and Big O notation for analyzing algorithm efficiency.
  • Conceptual grasp of recursion and fundamental problem-solving techniques.
  • Prior exposure to object-oriented programming (OOP) concepts in Python to design scalable code.
  • Practical experience in writing, testing, and debugging small-scale Python programs.
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Certification Exam

Everything you need to know about the Data Structures and Algorithms in Python certification exam

Exam Details
Exam Name
Data Structures and Algorithms in Python
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Data Structures and Algorithms in Python
Defining Core Data Structures Categorizing Data Structures Essential Algorithm Characteristics Analyzing Time and Space Complexity Understanding Big-O Notation Evaluating Performance Case Scenarios Leveraging Python Built-in Types Solving Problems with Algorithms
2
Day 2– Arrays and Efficient Searching Techniques
Managing One-Dimensional Arrays Handling Multi-Dimensional Arrays Optimizing Python Array Operations Implementing Linear Search Logic Executing Binary Search Algorithms Comparing Recursive and Iterative Search Applying Two-Pointer Optimization Mastering Sliding Window Patterns
3
Day 3– Advanced Sorting Algorithms and Efficiency
Building Bubble Sort Logic Applying Selection Sort Methods Mastering Insertion Sort Techniques Executing Merge Sort Strategies Refining Quick Sort Partitioning Using Python Built-in Sort Calculating Sorting Time Complexity Ensuring Stability in Sorting
4
Day 4– Linked List Structures and Operations
Building Singly Linked Lists Implementing Doubly Linked Lists Constructing Circular Linked Lists Managing Insertion and Deletion Optimizing Traversal Operations Applying Floyd's Cycle Detection Comparing Linked Lists vs Arrays Real-world Linked List Applications
5
Day 5– Stacks and Queues for Python Developers
Implementing Stack Data Structures Mastering Push and Pop Operations Converting Infix to Postfix Evaluating Postfix Expressions Managing Recursion and Call Stacks Utilizing Queue Data Structures Applying Priority Queue Concepts Executing Breadth-First Search

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

88%

of Data Structures and Algorithms in Python certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Data Structures and Algorithms in Python certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Software Developer
  • Backend Developer
  • Algorithm Engineer
  • Data Analyst
  • Full Stack Developer
  • Machine Learning Engineer

Companies Hiring

5,000+
Microsoft Amazon Google Accenture Deloitte Infosys Wipro TCS Goldman Sachs Capgemini

and 5,000+ organizations worldwide seeking Data Structures and Algorithms in Python certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

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    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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