Course Review: Udacity Data Structures and algorithms

Udacity’s course, Data Structures and Algorithms, is intended for those individuals who are intending to go on interviews in the field of data science. While I don’t think I am going to be on any interviews, namely because of my age and health, I decided it would be a good idea to take the course nevertheless to see if the content will help me in the projects I am currently involved in.

Below is a review of the course and my thoughts about the content:-

Lesson 1: Introduction and Efficiency

The purpose of data structures and algorithms is to invent efficient solutions to unsolved problems using algorithms and data structures.

An algorithm is a program that solves a problem. It is a series of steps to solve a problem. It is a high level description of a trick for solving a problem.

Data types:-

1. String = “ “
2. List = [ ]
3. Tuple = ( )
4. Dictionary = {}
5. Boolean = True or False
6. Number = 1 or 1.0
7. Variable with zero data = None

Types of loops

1. For
2. While