Who can Enroll In This Course? Any Prerequisites?

Anyone who has never done coding in their life. The course is very beginner-friendly, and you don’t need to have any coding or computer science knowledge.
Anyone who knows Python but wants to advance their knowledge by learning advanced concepts and building projects.

No FAQ Available.

Contents

1: Welcome to the Python Experience

1.1: Course Introduction

1.2: What Benefits You Get By Learning Python?

1.3: Who can Enroll In This Course? Any Prerequisites?

1.4: What Kind Of Computer Do I Need For This Course?

1.5: Course Content Overview

2: Enhance your Learning Experience

2.1: Join Discord for doubt clearing support & networking

2.2: Setting Video Resolution and Video Speed Globally

3: Project Description

3.1: Project 1: Hospitality Domain Data Analysis

3.2: Project 2: Expense Tracking System

4: Python Basics: Getting Started

4.1: Peter Pandey’s Journey and Need to Learn Python

4.2: Python Installation - Windows

4.3: Python Installation - Linux

4.4: Python Installation - Mac

4.5: How to Download Code and Get Help If I Have a Question?

5: Python Basics: Variables, Numbers and Strings

5.1: Variables

5.2: Numbers

5.3: Strings

5.4: Quiz: Variables, Numbers and Strings

5.5: Peter shares his Coding Fear with Tony

5.6: Exercise: Variables, Numbers and Strings

5.7: Chapter Summary

6: Python Basics: Lists, If Condition and For Loop

6.1: Lists

6.2: Install Pycharm

6.3: If Condition

6.4: For Loop

6.5: Quiz: Lists, If Condition and For Loop

6.6: Peter Found Something Interesting to Practice

6.7: Exercise: Lists, If Condition and For Loop

6.8: Chapter Summary

7: Python Basics: Functions, Dictionaries, Tuples and File Handling

7.1: Functions

7.2: Dictionary and Tuples

7.3: Modules and Pip

7.4: File Handling

7.5: Quiz: Functions, Dictionaries, Tuples and File Handling

7.6: Peter’s Request to Tony

7.7: Exercise: Functions, Dictionaries, Tuples and File Handling

7.8: Two Deadly Viruses Infecting Learners

7.9: Chapter Summary

8: Python Basics: Classes and Exception Handling

8.1: Classes and Objects

8.2: Operator Overloading

8.3: Inheritance

8.4: Exception Handling

8.5: __main__ Function

8.6: Quiz: Classes, Exception Handling

8.7: Using Python in a Real Time Problem

8.8: Exercise: Classes and Exception Handling

8.9: Chapter Summary

9: Python Basics: NumPy

9.1: Introduction and Benefits

9.2: Basic Operations

9.3: Matrix Operations

9.4: Slicing, Stacking

9.5: Quiz: NumPy

9.6: Peter Solves a Real Time Problem Using NumPy

9.7: Exercise: NumPy

9.8: Chapter Summary

10: Python Basics: EDA Using Pandas, Matplotlib and Seaborn

10.1: Pandas Introduction and Installation

10.2: Dataframe Basics

10.3: Read, Write Excel and CSV Files

10.4: Handle NA values - Part 1

10.5: Handle NA values - Part 2

10.6: Group by

10.7: Concat and Merge

10.8: Data Visualization Using Matplotlib and Seaborn

10.9: Quiz: EDA using Python

11: Project 1: Exploratory Data Analytics (EDA) in Hospitality Domain

11.1: Problem Statement, OLTP vs OLAP, ETL, Data Warehouse

11.2: Data Understanding: CSV Files

11.3: Data Understanding: Fact vs Dim table, Star vs Snowflake Schema

11.4: Data Exploration

8.5: main Function