Description

Introduction of Python Basics for Data Science

Welcome to the “Python Basics for Data Science” course! This course is designed to provide you with a strong foundation in Python, one of the most popular and versatile programming languages in the field of data science. Whether you’re new to programming or looking to enhance your skills, this course will guide you through the essential concepts and tools used in data science. By the end of this course, you’ll be able to write Python programs, manipulate data, and perform basic data analysis, setting the stage for more advanced topics in data science.

Pre-requisites

Before starting this course, it’s helpful (but not required) to have:

1. Basic Computer Literacy: Familiarity with using a computer, including navigating directories, opening files, and using the internet.
2. Basic Mathematics: An understanding of high school-level math, including basic algebra, is beneficial but not mandatory.
3. No Prior Programming Experience Needed: This course is designed for beginners, so no prior programming knowledge is required.

Table of Contents

1: Introduction to Python

1.1 What is Python?
1.2 Installing Python and Setting Up the Environment
1.3 Running Python Code (Ref: Python Programming – Image Processing)
1.4 Understanding Python Syntax and Structure

2: Python Basics

2.1 Variables and Data Types
2.2 Basic Operators and Expressions
2.3 Working with Strings
2.4 Input and Output

3: Control Flow

3.1 Conditional Statements (if, elif, else)
3.2 Loops (for, while)
3.3 Break, Continue, and Pass Statements

4: Data Structures

4.1 Lists and List Comprehensions
4.2 Tuples
4.3 Dictionaries
4.4 Sets

5: Functions and Modules

5.1 Defining and Calling Functions
5.2 Function Arguments and Return Values
5.3 Introduction to Modules and Packages

To conclude; This course provides a solid foundation in Python programming, equipping you with essential skills for coding and problem-solving. Mastering these concepts will prepare you for more advanced programming challenges.

Reference for Python

Reference for data science