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.
-
Intro To Python Section Overview00:05:00
-
What is Python Programming00:09:00
-
Who is This Course For00:05:00
-
Python Programming Marketplace
-
Python Job Opportunities00:05:00
-
How To Land a Python Job Without a Degree00:08:00
-
Python Programmer Job Roles00:09:00
-
Python from A-Z Course Structure00:04:00
-
Getting Familiar with Python Section Overview00:06:00
-
Installing Python on Windows00:10:00
-
Anaconda and Jupyter Notebooks Part 100:08:00
-
Anaconda and Jupyter Notebooks Part 200:16:00
-
Comments00:05:00
-
Python Syntax00:02:00
-
Line Structure00:03:00
-
Line Structure Exercise00:07:00
-
Joining Lines
-
Multiple Statements on a Single Line00:05:00
-
Indentation00:08:00
-
Basic Data Types Section Overview00:08:00
-
String Overview00:10:00
-
String Manipulation00:07:00
-
String Indexing00:04:00
-
String Slicing00:08:00
-
Printing00:10:00
-
Python Variables00:08:00
-
Integers and Floats00:08:00
-
Booleans00:05:00
-
Mini Project 1 : Letter Counter00:20:00
-
Python Operators Section Overview00:04:00
-
Comparison Operators00:09:00
-
Arithmetic Operators00:08:00
-
Assignment Operators00:04:00
-
Logical Operators00:13:00
-
Identity Operators00:05:00
-
Membership Operators00:02:00
-
Bitwise Operators00:08:00
-
Python Advanced Data Types Section Overview00:11:00
-
Sets00:06:00
-
List Overview00:05:00
-
List Slicing and Indexing00:04:00
-
Tuples00:02:00
-
Dictionaries00:11:00
-
When to use each one?00:05:00
-
Compound Data Types00:03:00
-
Control Flow Part 1 Section Overview00:15:00
-
Intro to Control Flow00:01:00
-
Basic Conditional Statements00:14:00
-
More Conditional Statements
-
For Loops00:10:00
-
While Loops00:12:00
-
Control Flow Part 2 Section Overview00:02:00
-
Break Statements00:08:00
-
Continue Statements00:05:00
-
Zip Function00:07:00
-
Enumerate Function00:04:00
-
List Comprehension00:04:00
-
Python Functions Section Overview00:03:00
-
Intro to Functions00:02:00
-
Python help Function00:03:00
-
Defining Functions00:09:00
-
Variable Scope00:08:00
-
Doc Strings00:04:00
-
User Input and Error Handling Section Overview00:02:00
-
Introduction to error handling00:03:00
-
User Input00:04:00
-
Syntax Errors00:04:00
-
Exceptions00:11:00
-
Handling Exceptions Part 100:08:00
-
Handling Exceptions Part 200:08:00
-
Python Advanced Functions Section Overview00:05:00
-
Lambda Functions00:05:00
-
Functions args and kwargs00:10:00
-
Iterators00:08:00
-
Generators and Yield00:12:00
-
Map Function00:14:00
-
Filter Function
-
Python Scripting and Libraries Section Overview00:04:00
-
What is a script00:01:00
-
What is an IDE00:17:00
-
What is a text editor?00:12:00
-
From Jupyter Notebook to VScode Part 100:15:00
-
From Jupyter Notebook to VScode Part 200:05:00
-
Importing Scripts00:03:00
-
Standard Libraries00:04:00
-
Third Party Libraries00:06:00
-
NumPy Section Overview00:04:00
-
Intro to NumPy00:04:00
-
Why use NumPy?00:04:00
-
NumPy Arrays00:10:00
-
Reshaping, Accessing, and Modifying00:07:00
-
Slicing and Copying00:06:00
-
Inserting, Appending, and Deleting00:10:00
-
Array Logical Indexing00:04:00
-
Broadcasting00:08:00
-
Intro to Pandas00:17:00
-
Pandas Series00:17:00
-
Pandas Series Manipulation00:17:00
-
Pandas DataFrame00:17:00
-
Pandas DataFrame Manipulation00:13:00
-
Dealing with Missing Values00:10:00
-
Functional vs OOP00:06:00
-
OOP Key Definitions00:04:00
-
Create your First Class00:12:00
-
How to Create and Use Objects00:06:00
-
How to Modify Attributes00:12:00
-
Python Decorators00:27:00
-
Property Decorator00:09:00
-
Class Method Decorator00:07:00
-
Static Methods00:10:00
-
Inheritance from A to Z00:21:00
-
Python Career Section Overview00:06:00
-
Getting Started with Freelancing00:09:00
-
Building A Brand00:12:00
-
Personal Branding00:13:00
-
Importance of Having Website/Blog00:04:00
-
Do’s and Don’ts of Networking00:06:00
-
Top Freelance Websites00:08:00
-
Creating A Python Developer Resume00:06:00
Course Reviews
N.A
- 5 stars0
- 4 stars0
- 3 stars0
- 2 stars0
- 1 stars0
No Reviews found for this course.