Python Programming Bundle- Intro to Python, Pandas, and OOP

Python Programming Bundle: Intro to Python, Pandas, and OOP, available at $74.99, has an average rating of 4.36, with 115 lectures, 16 quizzes, based on 7 reviews, and has 82 subscribers.

You will learn about The basic data types in Python – strings, integers, floats, and Boolean Python’s built-in functions and Python keywords How to write your first script in Python How variables and functions work in Python and how to debug errors How to write your first script in Python and use If-Else statements Storing complex data, including lists and dictionaries All about Python modules and how to install them Installing Python locally and completing your first Python project Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method. Make an object indexable (like lists), callable (like functions), and comparable (like numbers). Design and implement Python programs for complex problems, making good use of the language’s features such as classes and inheritance. An overview of Pandas and installing Pandas on your computer Using the two primary Pandas data structures, Series and DataFrame Viewing data imported from an external source and organizing input data using indexing and filtering Using Pandas for data preprocessing and addressing missing values and duplicate rows Formatting your data most efficiently and processing different data types Data manipulation using string functions and date and time formatting This course is ideal for individuals who are People looking to learn the Python Programming Language or Beginner Python developer or Those who want to learn and use Pandas library for Python or Python programmers who want to expand their knowledge and learn object-oriented programming or Data Analysts who wants to use Python It is particularly useful for People looking to learn the Python Programming Language or Beginner Python developer or Those who want to learn and use Pandas library for Python or Python programmers who want to expand their knowledge and learn object-oriented programming or Data Analysts who wants to use Python.

Enroll now: Python Programming Bundle: Intro to Python, Pandas, and OOP

Summary

Title: Python Programming Bundle: Intro to Python, Pandas, and OOP

Price: $74.99

Average Rating: 4.36

Number of Lectures: 115

Number of Quizzes: 16

Number of Published Lectures: 115

Number of Published Quizzes: 16

Number of Curriculum Items: 131

Number of Published Curriculum Objects: 131

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

The basic data types in Python – strings, integers, floats, and Boolean

Python’s built-in functions and Python keywords

How to write your first script in Python

How variables and functions work in Python and how to debug errors

How to write your first script in Python and use If-Else statements

Storing complex data, including lists and dictionaries

All about Python modules and how to install them

Installing Python locally and completing your first Python project

Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process

Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method.

Make an object indexable (like lists), callable (like functions), and comparable (like numbers).

Design and implement Python programs for complex problems, making good use of the language’s features such as classes and inheritance.

An overview of Pandas and installing Pandas on your computer

Using the two primary Pandas data structures, Series and DataFrame

Viewing data imported from an external source and organizing input data using indexing and filtering

Using Pandas for data preprocessing and addressing missing values and duplicate rows

Formatting your data most efficiently and processing different data types

Data manipulation using string functions and date and time formatting

Who Should Attend

People looking to learn the Python Programming Language

Beginner Python developer

Those who want to learn and use Pandas library for Python

Python programmers who want to expand their knowledge and learn object-oriented programming

Data Analysts who wants to use Python

Target Audiences

People looking to learn the Python Programming Language

Beginner Python developer

Those who want to learn and use Pandas library for Python

Python programmers who want to expand their knowledge and learn object-oriented programming

Data Analysts who wants to use Python

**This course bundle includes a Python Project and downloadable course instructor and exercise files to work with and follow along.**

If you need a better tool for handling data, it’s time to get to know Python, and this amazing value three-course Python bundle is the perfect place to start.

Python is one of the most popular languages for data analysis and business intelligence, with Pandas as one of the most commonly used Python libraries. At the same time, Object-Oriented Programming is particularly important in Python since every piece of Python code interacts with objects and classes.

The introduction to Python course assumes no prior knowledge and guides you through getting set up and started, with practice exercises and a full project to complete at the end of the course.

Pandas for beginners will introduce you to the basics of data analysis and assumes no previous Pandas experience. But since Pandas is a package built for Python, you need to have a fundamental understanding of basic Python syntax, which you should learn in the first course.

To get the most out of the OOP course, you need to be at an intermediate level in Python programming.

What’s included?

Introduction to Python:

The basic data types in Python – strings, integers, floats, and Boolean

All about Python’s built-in functions

How variables and functions work in Python

How to debug errors in Python

All about Python keywords

How to use If-Else statements in Python

All about storing complex data, including lists and dictionaries

All about Python modules and how to install them

How to install Python locally

How to write your first script in Python

To complete your first Python project

Object-Oriented Programming:

Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process.

Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method.

Make an object indexable (like lists), callable (like functions), and comparable (like numbers).

Design and implement Python programs for complex problems, making good use of the language’s features such as classes and inheritance.

Pandas for Beginners:

An overview of Pandas

Installing Pandas on your computer

Using the two primary Pandas data structures, Series and DataFrame

Viewing data imported from an external source

Organizing input data using indexing and filtering

Using Pandas for data preprocessing

Addressing missing values and duplicate rows

Formatting your data most efficiently

Processing different data types

Data manipulation using string functions

Date and time formatting

This course bundle includes:

1. 11+ hoursof video tutorials

2. 70+ individual videolectures

3. Certificate of completion

4. Course and exercise filesso you can follow along

Course Curriculum

Chapter 1: Intro to Python: The Workplace Tech Divide

Lecture 1: Which Side of the Divide Are You On?

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Course Exercise Files

Lecture 4: DOWNLOAD ME: Course Project Files

Lecture 5: Beginners Are Welcome

Lecture 6: Course Overview

Chapter 2: Intro to Python: Introduction to Python

Lecture 1: What is Python?

Lecture 2: Pythons Comparison to Other Programming Languages

Lecture 3: Examples of Python in the Workplace

Lecture 4: The Easiest Place to Practice Python

Lecture 5: Create an Account Online

Chapter 3: Intro to Python: Basic Data Types

Lecture 1: Python Data Types

Lecture 2: Strings

Lecture 3: Integers

Lecture 4: Floats

Lecture 5: Boolean

Lecture 6: Data Types Exercise

Chapter 4: Intro to Python: Python Built-In Functions

Lecture 1: What is a Built-In Function?

Lecture 2: Where to Look For Built-In Functions

Lecture 3: Most Common Built In Functions

Lecture 4: Built In Functions Exercise

Chapter 5: Intro to Python: Variables and Functions

Lecture 1: Variables and Functions

Lecture 2: Storing Values as Variables

Lecture 3: Comparing Variables with Operators

Lecture 4: Basic Expressions

Lecture 5: Functions

Lecture 6: Commenting

Lecture 7: Variables and Functions Exercise

Chapter 6: Intro to Python: Errors and Debugging

Lecture 1: What is an Error?

Lecture 2: Reading a Stack Trace

Lecture 3: Print Function: print()

Lecture 4: Try and Except

Lecture 5: You Are Not Alone

Lecture 6: Errors Exercise

Chapter 7: Intro to Python: Python Keywords

Lecture 1: Python Keywords

Lecture 2: Common keywords

Lecture 3: Global

Lecture 4: Keywords Exercise

Chapter 8: Intro to Python: If-Else Statements

Lecture 1: Basic Logic

Lecture 2: Syntax and Inline Evaluation

Lecture 3: Value Evaluation

Lecture 4: Complex If-Else Statements

Lecture 5: If-Else Exercises

Chapter 9: Intro to Python: Storing Complex Data

Lecture 1: Advanced Data Types

Lecture 2: Lists

Lecture 3: Dictionaries

Lecture 4: Looping: Lists

Lecture 5: Looping: Dictionaries

Lecture 6: Advanced Data Exercise

Chapter 10: Intro to Python: Python Modules

Lecture 1: Python Modules

Lecture 2: Python Built In Modules

Lecture 3: Importing Modules

Chapter 11: Intro to Python: Installing Python and Modules

Lecture 1: Python Environments

Lecture 2: Mac

Lecture 3: Windows

Lecture 4: IDEs

Lecture 5: Python Idle

Lecture 6: Managing Files and Folders

Lecture 7: Executing Scripts

Lecture 8: PIP

Chapter 12: Intro to Python: Project: Automate Data Updates For a Spreadsheet

Lecture 1: Project Introduction

Lecture 2: Setting Up Project

Lecture 3: Reading and Writing to Excel Files

Lecture 4: Working with CSV Files

Lecture 5: Dynamic File Paths

Lecture 6: Transform and Validate Transactions

Lecture 7: Transfer and Save Transactions

Lecture 8: Clean Up the Code

Lecture 9: Hardening the Script

Chapter 13: Intro to Python: Course Close

Lecture 1: Whats Next?

Chapter 14: Object-Oriented Programming: Basics of Object Oriented Programming

Lecture 1: Course Introduction

Lecture 2: WATCH ME: Essential Information for a Successful Training Experience

Lecture 3: DOWNLOAD ME: Course Exercise Files

Lecture 4: DOWNLOAD ME: Course Instructor Files

Lecture 5: Introduction to Object Oriented Programming

Lecture 6: Creating Bank Account Object: Attributes

Lecture 7: Creating Bank Account Object: Methods

Lecture 8: Printing Objects

Lecture 9: Using a Class Inside Another Class

Instructors

Simon Sez IT
870,000+ Students, 260+ Courses, Learners in 180+ Countries

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3 stars: 1 votes

4 stars: 4 votes

5 stars: 2 votes

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