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:
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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
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To complete your first Python project
Object-Oriented Programming:
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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:
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11+ hoursof video tutorials
-
70+ individual videolectures
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Certificate of completion
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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: Python's 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: What's 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
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Simon Sez IT
870,000+ Students, 260+ Courses, Learners in 180+ Countries
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 4 votes
- 5 stars: 2 votes
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