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50day DSA PYTHON Patterns|Data Structures AlgorithmsLEETCODE

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Requirements

  • Basic knowledge of Python ( things like write a loop, function etc)
  • No experience with Data Structures or Algorithms required

Description

Student Testimonials:

  • “Amazing Course” – Erick Odhiambo Otieno
  • “I never seen the best course in this learning platform. It is the best course if you want to understand DSA to the core. you should try it guys. thanks a lot sir for this best course.” – Nibru Kefyalew
  • “Great course!” – Shay Keren
  • “Very thorough and methodical” – Shahjamal Biswas
  • “Very intuitive and in-depth! so far” – Nikhil Valse
  • “A good explanation for this problem.” – Bhuvan Akoju
  • “So far good explanation on DS ,recursion and quizzes.” – Anuradha Yadavalli
  • “the instructor is very good at explaining and simplifying complex concept. this course cover all the DSA module in depth withs great examples” – RODRIGUE NGONGANG
  • “excellent” – Neha Nayak
  • “Awesomly attractive course!” – Dariusz Jenek
  • “Great one” – Wilson Edafe
  • “Excellent Teaching” – Ameeruddin Syed
  • “It is an excellent platform !!” – Subhajit Bera

About the Course:

Welcome to the Data Structures and Algorithms Coding Interview Bootcamp with Python!

The primary goal of this course is to prepare you for coding interviews at top tech companies. By tackling one problem at a time and understanding its solution, you’ll accumulate a variety of tools and techniques for conquering any coding interview.

Daily Data Structures and Algorithms Coding Challenges:

The course is structured around daily coding challenges. Consistent practice will equip you with the skills required to ace coding interviews. For the next 40 days commit to yourself to practice atleast 2 coding interview questions everyday. You don’t need any setup for this as the daily coding problem challenges can be solved in the coding environment provided by Udemy. The course will automatically track your progress and you just need to spend your time making actual progress everyday.

Topics Covered:

We start from the basics with Big O analysis, then move on to very important algorithmic techniques such as Recursion, Backtracking and Dynamic Programming Patters. After this we move to cover common data structures, and discuss real problems asked in interviews at tech giants such as Google, Meta, Amazon, Netflix, Apple, and Microsoft.

For each question, we will:

  1. Discuss the optimal approach
  2. Explain time and space complexity
  3. Code the solution in Python (you can follow along in your preferred language)

 

Who this course is for:

  • Folks looking to get into top Tech companies in Software Engineering roles
  • Folks looking to ace the DSA part in Data Science Interview
  • Self taught programmers looking for their first job
  • Experienced developers wanting to get into MAANG companies ( top tech firms)
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