Course · Intermediate
Introduction to Data Structures
In this course, you'll learn how to optimize your data analysis using data structures - and how to improve performance on common tasks like searching and sorting.
- Intermediate friendly
- 4 hrs
- 4 lessons
- 2 projects
- Premium
Course overview
Build core data structures such as linked lists, stacks, queues, and dictionaries to write more efficient and scalable programs.
What's inside
4 lessons · 2 projects
- 01 10 minGuided Project: Analyzing Stock Prices Project
For this project, you'll step into the role of a financial analyst to examine historical stock price data from the NASDAQ exchange. You'll apply your Python skills to analyze trends and find the most profitable stocks.
- 02 70 minLinked Lists
Learn how to implement lists using a linked node structure.
- 03 54 minQueues
Learn how to implement queues and use them to implement the FCFS process scheduling algorithm.
- 04 38 minStacks
Learn how to implement a stack data structure.
- 05 61 minDictionaries
Learn how to implement dictionaries with separate chaining.
- 06 11 minGuided Project: Evaluating Numerical Expressions Project
For this project, you'll become a software developer tasked with creating an algorithm to evaluate complex numerical expressions. You'll apply concepts like stacks and infix/postfix notation in Python to enable evaluating expressions.
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