Python Programming: Beginner To Expert at a Glance
Welcome to Python Programming: Beginner To Expert! In this comprehensive course, we’ll delve into a wide array of topics designed to enhance your skills and knowledge in Python Programming: Beginner To Expert field. Here’s a brief overview of what you can expect to learn:
- Gain a solid understanding of the foundational concepts and principles of Python Programming: Beginner To Expert, setting the stage for more advanced learning.
- Explore real-world scenarios and case studies to apply theoretical knowledge into practical situations, ensuring you’re well-equipped to handle challenges in your professional journey.
- Dive deep into advanced techniques and methodologies used by experts in the field, enabling you to tackle complex problems with confidence and efficiency.
- Engage in exercises that reinforce your learning and allow you to demonstrate your newfound skills.
- Gain valuable insights into the current trends, best practices, and emerging technologies shaping the Python Programming: Beginner To Expert landscape, keeping you abreast of the latest developments in the field.
Why Python Programming: Beginner To Expert is Right for You
Are you looking to enhance your expertise in or embark on a new career path in the ever evolving dynamic field? Here’s why our Python Programming: Beginner To Expert course is the perfect fit for you:
- Comprehensive curriculum: Our course covers a wide range of topics, ensuring you receive a holistic understanding of Python Programming: Beginner To Expert that prepares you for diverse roles and responsibilities in the industry.
- Flexibility and convenience: With our online platform, you have the flexibility to learn at your own pace and schedule, allowing you to balance your professional and personal commitments while pursuing your educational goals.
- Expert instruction: Learn from industry experts and seasoned professionals who bring years of experience and expertise to the table, providing you with valuable insights and guidance throughout your learning journey.
- Career advancement opportunities: Whether you’re looking to upskill for your current role or transition into a new career, our Python Programming: Beginner To Expert course provides you with the tools and resources you need to achieve your professional goals and unlock new opportunities.
Don’t miss out on this opportunity to take your skills and career to the next level with our Python Programming: Beginner To Expert course. Enroll now and embark on your journey towards success!
Who Should Take This Course
Our course is designed for individuals who are passionate and eager to expand their knowledge and skills in this field. This course is suitable for:
- Beginners: If you’re and looking to build a strong foundation, this course will provide you with the essential knowledge and skills to kickstart your journey.
- If you have some experience but want to deepen your understanding and explore advanced topics, this course will offer you valuable insights and practical techniques to enhance your expertise.
- Whether you’re already working in a related field or looking to transition, this course will equip you with the tools and knowledge needed to excel in your current role or pursue new opportunities.
- Entrepreneurs and business owners who are looking to leverage their own business or enhance their products/services, this course will provide you with the insights and strategies to drive innovation and achieve success.
Entry Requirements
While there are no strict entry requirements for this course, familiarity with basic computer skills and a passion for learning are recommended. Whether you’re a complete beginner or have some prior experience in Python Programming: Beginner To Expert, our course is designed to accommodate learners of all levels and backgrounds. Our comprehensive curriculum and expert instruction will guide you through the learning process, ensuring you gain the knowledge and skills needed to succeed.
Exam
To ensure knowledge retention and skill development, the course employs two evaluation tools:
- Multiple-choice questions (MCQs) for foundational understanding.The passing score aligns with industry standards and will be communicated beforehand and
- Assignments for practical application. Our in-house experts will rigorously assess your written work, providing personalised feedback.Â
Certification
By successfully passing the course assessment, you are eligible to apply for two prestigious certifications. A small processing fee will apply for each certificate
- Continuous Professional Development (CPD) Certificate
- Quality Licence Scheme (QLS) Certificate
FAQ (Frequesntly Asked Question)
- Are there any prerequisites for enroling in the course?
Our courses are designed to accommodate learners of all levels, from beginners to advanced. We encourage individuals with a passion for learning to enrol in our courses.
- Can I access the course materials after completing the course?
Yes, once you enrol in a course, you will have access to the course materials, including lectures, assignments, and resources, for the duration specified in the course enrolment.
- Are the courses self-paced or scheduled?
Our courses offer flexible learning options to accommodate different schedules and preferences.
- Will I receive a certificate upon completion of the course?
Yes, upon successfully completing all modules and assessments, you’ll receive a certificate of completion to demonstrate your understanding of the topic.
- Will this course qualify me for a specific job?
 While this course provides valuable knowledge, it may not be enough for specific job qualifications.
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Intro To Python Section Overview
00:05:00 -
What is Python Programming
00:09:00 -
Who is This Course For
00:05:00 -
Python Programming Marketplace
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Python Job Opportunities
00:05:00 -
How To Land a Python Job Without a Degree
00:08:00 -
Python Programmer Job Roles
00:09:00 -
Python from A-Z Course Structure
00:04:00
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Getting Familiar with Python Section Overview
00:06:00 -
Installing Python on Windows
00:10:00 -
Anaconda and Jupyter Notebooks Part 1
00:08:00 -
Anaconda and Jupyter Notebooks Part 2
00:16:00 -
Comments
00:05:00 -
Python Syntax
00:02:00 -
Line Structure
00:03:00 -
Line Structure Exercise
00:07:00 -
Joining Lines
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Multiple Statements on a Single Line
00:05:00 -
Indentation
00:08:00
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Basic Data Types Section Overview
00:08:00 -
String Overview
00:10:00 -
String Manipulation
00:07:00 -
String Indexing
00:04:00 -
String Slicing
00:08:00 -
Printing
00:10:00 -
Python Variables
00:08:00 -
Integers and Floats
00:08:00 -
Booleans
00:05:00 -
Mini Project 1 : Letter Counter
00:20:00
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Python Operators Section Overview
00:04:00 -
Comparison Operators
00:09:00 -
Arithmetic Operators
00:08:00 -
Assignment Operators
00:04:00 -
Logical Operators
00:13:00 -
Identity Operators
00:05:00 -
Membership Operators
00:02:00 -
Bitwise Operators
00:08:00
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Python Advanced Data Types Section Overview
00:11:00 -
Sets
00:06:00 -
List Overview
00:05:00 -
List Slicing and Indexing
00:04:00 -
Tuples
00:02:00 -
Dictionaries
00:11:00 -
When to use each one?
00:05:00 -
Compound Data Types
00:03:00
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Control Flow Part 1 Section Overview
00:15:00 -
Intro to Control Flow
00:01:00 -
Basic Conditional Statements
00:14:00 -
More Conditional Statements
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For Loops
00:10:00 -
While Loops
00:12:00
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Control Flow Part 2 Section Overview
00:02:00 -
Break Statements
00:08:00 -
Continue Statements
00:05:00 -
Zip Function
00:07:00 -
Enumerate Function
00:04:00 -
List Comprehension
00:04:00
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Python Functions Section Overview
00:03:00 -
Intro to Functions
00:02:00 -
Python help Function
00:03:00 -
Defining Functions
00:09:00 -
Variable Scope
00:08:00 -
Doc Strings
00:04:00
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User Input and Error Handling Section Overview
00:02:00 -
Introduction to error handling
00:03:00 -
User Input
00:04:00 -
Syntax Errors
00:04:00 -
Exceptions
00:11:00 -
Handling Exceptions Part 1
00:08:00 -
Handling Exceptions Part 2
00:08:00
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Python Advanced Functions Section Overview
00:05:00 -
Lambda Functions
00:05:00 -
Functions args and kwargs
00:10:00 -
Iterators
00:08:00 -
Generators and Yield
00:12:00 -
Map Function
00:14:00 -
Filter Function
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Python Scripting and Libraries Section Overview
00:04:00 -
What is a script
00:01:00 -
What is an IDE
00:17:00 -
What is a text editor?
00:12:00 -
From Jupyter Notebook to VScode Part 1
00:15:00 -
From Jupyter Notebook to VScode Part 2
00:05:00 -
Importing Scripts
00:03:00 -
Standard Libraries
00:04:00 -
Third Party Libraries
00:06:00
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NumPy Section Overview
00:04:00 -
Intro to NumPy
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Why use NumPy?
00:04:00 -
NumPy Arrays
00:10:00 -
Reshaping, Accessing, and Modifying
00:07:00 -
Slicing and Copying
00:06:00 -
Inserting, Appending, and Deleting
00:10:00 -
Array Logical Indexing
00:04:00 -
Broadcasting
00:08:00
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Intro to Pandas
00:17:00 -
Pandas Series
00:17:00 -
Pandas Series Manipulation
00:17:00 -
Pandas DataFrame
00:17:00 -
Pandas DataFrame Manipulation
00:13:00 -
Dealing with Missing Values
00:10:00
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Functional vs OOP
00:06:00 -
OOP Key Definitions
00:04:00 -
Create your First Class
00:12:00 -
How to Create and Use Objects
00:06:00 -
How to Modify Attributes
00:12:00
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Python Decorators
00:27:00 -
Property Decorator
00:09:00 -
Class Method Decorator
00:07:00 -
Static Methods
00:10:00 -
Inheritance from A to Z
00:21:00
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Python Career Section Overview
00:06:00 -
Getting Started with Freelancing
00:09:00 -
Building A Brand
00:12:00 -
Personal Branding
00:13:00 -
Importance of Having Website/Blog
00:04:00 -
Do’s and Don’ts of Networking
00:06:00 -
Top Freelance Websites
00:08:00 -
Creating A Python Developer Resume
00:06:00
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