Learning Objective:
Gain a foundational understanding of Python and its applications.

Topics:

• – Overview of Python
• – Python’s Role in Data Science
• – Setting Up the Python Environment
• – Writing Your First Program: “Hello, World”

Master Python coding to effectively handle and manage data.

Topics:

• – Overview of Code and Data
• – Understanding Code and Data Concepts
• – Creating and Manipulating Data
• – Leveraging Code to Work with Data
• – Syntax and Naming Best Practices

Learning Objective:
Discover the essential components of programming in Python.

Topics:

• – Overview of Core Building Blocks
• – Data Types and Their Usage
• – Arithmetic Operations in Python
• – Basics of Lists
• – Key Functions and Features

Learning Objective:
Understand how to handle and manipulate strings in Python.

Topics:

• – Introduction to Strings
• – Creating Strings and Accessing Elements
• – Negative Indexing, Slicing, and Stepping Techniques
• – Concept of String Immutability
• – Essential String Methods and Functions

Learning Objective:
Familiarize yourself with Python’s versatile data structures.

Topics:

• – Overview of Data Structures
• – Working with Lists (Part 1 & 2)
• – Understanding Tuples and Sets

Learn how to control the flow of Python programs using various statements and operators.

Topics:

Topics:

• – Introduction to Flow Control
• – Writing Conditional Statements (if, elif, else)
• – Using Comparison and Logical Operators
• – Implementing while Loops
• – Using for Loops with Sequences

Gain expertise in defining and using functions in Python.
Topics:

• – Overview of Python Functions
• – Creating User-Defined Functions
• – Parameter Passing Techniques
• – Returning Values from Functions

Learn how to utilize Python modules to extend functionality.
Topics:

• – Understanding Modules and Their Purpose
• – Installing and Using Modules
• – Fetching External Modules
• – Key Modules and Libraries in Python

Master working with files in Python for reading and writing operations.
Topics:

• – Introduction to File Handling
• – Basics of File Operations
• – Opening and Reading Text Files
• – File Modes for Reading and Writing
• – Writing Data to Text Files

Learn the fundamentals of using NumPy for numerical computations.
Topics:

• – Introduction to NumPy
• – Creating and Managing NumPy Arrays
• – Exploring Array Attributes
• – Array Indexing and Slicing Techniques
• – Basic and Advanced Array Operations
• – Various Methods to Create Arrays
• – Generating Random Numbers

Develop skills to use Pandas for data manipulation and analysis.
Topics:

• – Overview of Pandas
• – Reading Data from Different File Formats
• – Creating Series and DataFrames
• – Operations on Series
• – DataFrame Operations (Part 1 & 2)

Understand how to use regular expressions for pattern matching and text manipulation.
Topics:

• – Overview of Regular Expressions
• – Introduction to RegEx Basics
• – Meta Characters and Their Applications (Part 1 & 2)
• – Special Sequences for Advanced Pattern Matching

Explore techniques to visualize data effectively using Python.
Topics:

• – Overview of Data Visualization
• – Basics of Visualization in Python
• – Creating Simple Plots and Subplots
• – Building Bar Charts, Pie Charts, Histograms, and Scatter Plots
• – Generating Plots Using Pandas