Learn Python Programming From A-Z: Beginner To Expert Course
Learn Python Programming From A-Z: Beginner To Expert Course, available at $69.99, has an average rating of 4.15, with 156 lectures, 95 quizzes, based on 3748 reviews, and has 108419 subscribers.
You will learn about How to become a professional Python Developer How to land your first job as a Python Developer How to use the basic Python structures: strings, lists, and dictionaries How to write Python scripts to perform automated actions How to use Python Object-Oriented Programming (OOP) How to create your own Python programs from scratch How to use core programming tools such as functions and loops How to use variables to store, retrieve and calculate information This course is ideal for individuals who are Students who want to learn Python Programming from A-Z It is particularly useful for Students who want to learn Python Programming from A-Z.
Enroll now: Learn Python Programming From A-Z: Beginner To Expert Course
Summary
Title: Learn Python Programming From A-Z: Beginner To Expert Course
Price: $69.99
Average Rating: 4.15
Number of Lectures: 156
Number of Quizzes: 95
Number of Published Lectures: 156
Number of Published Quizzes: 95
Number of Curriculum Items: 251
Number of Published Curriculum Objects: 251
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- How to become a professional Python Developer
- How to land your first job as a Python Developer
- How to use the basic Python structures: strings, lists, and dictionaries
- How to write Python scripts to perform automated actions
- How to use Python Object-Oriented Programming (OOP)
- How to create your own Python programs from scratch
- How to use core programming tools such as functions and loops
- How to use variables to store, retrieve and calculate information
Who Should Attend
- Students who want to learn Python Programming from A-Z
Target Audiences
- Students who want to learn Python Programming from A-Z
Welcome to the Learn Python Programming From A-Z: Beginner To Expert Course
Where you’re going to learn how to become a professional Python Developer and create programs, apps, scripts, games and so much more…
In this practical, hands-on course our main objective is to give you the education not just to understand the ins and outs of Python Programming, but also to learn exactly how the software development industry works, the different roles within a team, and how to land a Python Programming job without a degree.
Blending practical work with solid theoretical training, we take you from the basics of Python Programming to mastery, giving you the training you need not just to create software programs, scrape websites, and build automations, but also the foundational understanding of data science and visualization so you can become a well-rounded Python Programmer.
We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step.
Even if you already have some coding experience, or want to learn about the advanced features of Python, this course is for you! In this course, you’ll learn Python 3.
Python is the number one programming language choice for machine learning, data science, and artificial intelligence. In order to get those high paying programming jobs, you need the skills and knowledge of how to become an expert Python Programmer, and that’s exactly what you’ll learn in this course.
Together we’re going to give you the foundational education that you need to know not just on how to write code in Python, create various scripts and softwares but also how to get paid for your newly developed programming skills. The course covers 6 main areas:
1: PYTHON COURSE INTRO
This intro section gives you a full introduction to the Python industry and marketplace, job opportunities and salaries, and the various Python job roles.
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– Python Industry and Marketplace
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– Python Job Opportunities
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– Landing a Job w/o a Degree
2: BASIC/ADVANCED DATA TYPES
This section gives you a full introduction to the Python basic and advanced data types with hands-on step by step training.
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– Python Variables
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– Integers, Floats, and Complex Numbers
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– Strings
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– Operators
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– Lists, Tuples, Sets & Dictionary
3: PYTHON CONTROL FLOW
This section gives you a full introduction to the Python Control Flow with hands-on step by step training.
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– Basic/Complex Conditional Statements
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– For Loops, While Loops
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– Break/Continue Statements
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– Zip/Enumerate Keywords
4: BASIC/ADVANCED FUNCTIONS
This section gives you a full introduction to the Python basic and advanced functions with hands-on step by step training.
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– Help/Defining Function
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– Error Handling
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– Variable Scope
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– Doc Strings
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– Lambda Functions
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– Iterators + Generators
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– Map/Filter Functions
5: SCRIPTING & LIBRARIES (includes numpy, pandas)
This section gives you a full introduction to the scripting and libraries with hands-on step by step training.
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– Scripting Basics
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– Python IDEs
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– Python Text Editors
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– Third Party Libraries
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– Numpy + Pandas
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– Data Visualization
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– Webscraping
6: STARTING A CAREER IN PYTHON
This section gives you a full introduction to starting a career as a Python Programmer with hands-on step by step training.
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– Building a Brand
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– Personal Branding
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– Freelancing + Freelance websites
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– Importance of Having a website
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– Networking
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– Creating a Resume
By the end of the course you’ll be a professional Python Programmer and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.
Course Curriculum
Chapter 1: Introduction to Python Programming from A-Z
Lecture 1: Intro To Python Section Overview
Lecture 2: What is Python Programming?
Lecture 3: Who is This Course For?
Lecture 4: Python Programming Marketplace
Lecture 5: Python Job Opportunities
Lecture 6: How To Land a Python Job Without a Degree
Lecture 7: Python Programmer Job Roles
Lecture 8: Python from A-Z Course Structure
Lecture 9: How to Maximize your learning from the course?
Chapter 2: Getting Familiar with Python
Lecture 1: Getting Familiar with Python Section Overview
Lecture 2: Installing Python on Windows
Lecture 3: Anaconda and Jupyter Notebooks Part 1
Lecture 4: Anaconda and Jupyter Notebooks Part 2
Lecture 5: Python Syntax
Lecture 6: Line Structure
Lecture 7: Line Structure Exercise
Lecture 8: Comments
Lecture 9: Joining Lines
Lecture 10: Multiple Statements on a Single Line
Lecture 11: Indentation
Chapter 3: Basic Data Types
Lecture 1: Basic Data Types Section Overview
Lecture 2: Python Variables
Lecture 3: Integers and Floats
Lecture 4: String Overview
Lecture 5: String Overview Exercise Solution
Lecture 6: String Manipulation
Lecture 7: String Manipulation Exercise Solution
Lecture 8: String Indexing
Lecture 9: String Slicing
Lecture 10: Strings Exercise Solution
Lecture 11: Boolean
Lecture 12: Printing
Lecture 13: Mini Project 1 : Letter Counter
Chapter 4: Python Operators
Lecture 1: Python Operators Section Overview
Lecture 2: Arithmetic Operators
Lecture 3: Arithmetic Operators Exercise Solution
Lecture 4: Assignment Operators
Lecture 5: Assignment Operators Exercise Solution
Lecture 6: Comparison Operators
Lecture 7: Logical Operators
Lecture 8: StackOverFlow. Our new best friend !
Lecture 9: Logical Operators Exercise Solution
Lecture 10: Identity Operators
Lecture 11: Membership Operators
Lecture 12: Bitwise Operators
Chapter 5: Advanced Data Types
Lecture 1: Python Advanced Data Types Section Overview
Lecture 2: List Overview
Lecture 3: Lists Exercise Solution
Lecture 4: List Slicing and Indexing
Lecture 5: Tuples
Lecture 6: Tuples Exercise Solution
Lecture 7: Sets
Lecture 8: Dictionaries
Lecture 9: Dictionaries Exercise Solution
Lecture 10: When to use each one?
Lecture 11: Compound Data Types
Chapter 6: Control Flow Part 1
Lecture 1: Control Flow Part 1 Section Overview
Instructors
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Juan E. Galvan
Digital Entrepreneur | Business Coach -
Ahmed Wael
Python Instructor | ML Engineer | University TA | Freelancer
Rating Distribution
- 1 stars: 44 votes
- 2 stars: 64 votes
- 3 stars: 449 votes
- 4 stars: 1359 votes
- 5 stars: 1832 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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