Course Highlights:
44.5 hours of on-demand video lectures
101 coding exercises for hands-on practice
1 practice test to assess your skills
153 articles for in-depth learning
122 downloadable resources for reference
Accessible on mobile and TV for flexible learning
Full lifetime access for continuous skill development
What You’ll Learn:
Master Python data types, control flow, and functions
Understand and implement various data structures and algorithms
Excel in coding interviews with 100+ interview questions and explanations
Learn the time and space complexity of data structures and algorithms
Explore recursion, sorting algorithms, and searching algorithms
Dive deep into graph algorithms, dynamic programming, and more
Requirements:
Basic Python programming skills
Eagerness to learn and engage in hands-on coding exercises
Description:
Welcome to the most comprehensive Data Structures and Algorithms in Python bootcamp available online! With over 40 hours of immersive content, this course is designed to equip you with the knowledge and skills needed to ace coding interviews and excel as a professional programmer. Whether you’re a self-taught programmer, a computer science student, or a seasoned developer, this bootcamp will empower you to tackle complex problems with confidence.
What Makes This Course Special:
Comprehensive coverage of fundamental concepts to advanced topics
Visual explanations and real-world examples for deeper understanding
In-depth exploration of Python data structures and algorithms
Extensive practice with coding exercises and interview questions
Lifetime access to high-quality video lectures and supplementary materials
Who Is This Course For:
Self-taught programmers seeking to become proficient in data structures and algorithms
Computer science students in need of supplementary material for their studies
Professional programmers preparing for coding interviews at top tech companies
Anyone interested in mastering Python programming and advancing their career in tech
Course Contents:
Introduction to Data Structures and Algorithms
Recursion and Its Applications
Big O Notation and Time Complexity Analysis
Arrays and Lists in Python
Dictionaries, Tuples, and Sets
Linked Lists and Their Variants
Stack and Queue Implementations
Tree and Graph Algorithms
Sorting and Searching Techniques
Dynamic Programming and Greedy Algorithms
Problem-Solving Strategies and Techniques
What You Get:
Lifetime access to comprehensive video lectures and resources
Expert guidance and support from the instructor
Practical skills to succeed in coding interviews and real-world projects
Confidence to tackle complex problems and advance your career in tech
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