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Python Programming
You will learn how to become a Python developer through this course.
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Learning Outcome
- Get a guide to becoming a professional Python developer
- Learn the basic Python structures: strings, lists, and dictionaries
- Know the Python Object-Oriented Programming (OOP) language
- Explore how from scratch to create a Python program
- Learn how to calculate, retrieve, and store information using variables
Course Overview
A Python developer is a programmer who builds server-side web application logic. They create, maintain, and execute Python applications. Python developers are in high demand in the job market. The course will provide you with step-by-step instructions for becoming a Python developer.
Throughout this course, you’ll receive all the necessary instructions for pursuing a career in Python development. In the beginning, you’ll be guided on how to get your first employment as a Python developer. This course will cover developing Python scripts to carry out automated tasks as well as how to create the fundamental Python structures. You’ll also receive instructions on how to use fundamental programming constructs like loops and functions. Our professional instructor helps you equip you with theoretical and practical knowledge of Python to excel in this industry.
An expert instructor designed this “Python Programming ” course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.
Hurry up. Enrol now!
Course Description
This course is an excellent learning opportunity for those who are passionate about the topic and who are interested in a successful career within the relevant industry. Professionals currently working in this field who wish to brush up on their knowledge and advance their careers may also enrol in this program.
In the Python Programming Course, you will find a number of engaging, in-depth modules that will provide you with comprehensive theoretical knowledge that will enable you to succeed in your career. As proof of your completion, you will receive a free e-certificate from Learndrive.
Using computers, tablets, smartphones, and other internet-enabled devices, you can access the course modules at your own pace. Invest in your professional development today and learn skills that will lead to your dream job. Become a career leader by taking this course online.
What Do You Get With The Python Programming Course?
- Premium Video Materials in bite-sized format for the most accessible learning experience
- Free e-certificate after completing the course
- Flexible study time and pace
- Instructor-led Course
Course Design
Students can access the course using any internet-connected device through our online learning platform. You may study at your own pace since there are no formal deadlines or teaching schedules.
Certification
The learners who pass the course will receive a Learndrive Certificate as a badge of accomplishment. The e-certificate is free of charge. There is a small fee, however, if you want a hard copy of your certificate.
Who Is This Course For?
The course is right for you if you already work in this industry or want to make the transition. This Python Programming Course is designed to enhance your expertise and improve your CV.
Requirements
Students from all backgrounds are welcome to participate in the online training. There are no requirements for participation. The only prerequisite for studying this Python Programming Course is an interest in learning and a good grasp of English, mathematics, and computer skills.
Course Instructor
Juan Galvan
Juan Galvan has been an aspiring entrepreneur. Throughout his career, he has gained experience in a wide variety of areas, including Digital Marketing, E-Commerce, Web Development, and Programming. Juan believes that continuous education and improvements in skills and learning is the key to acquiring the best of a university degree without all the downsides that come with them, such as burdensome costs and inefficient methods. As a lifelong teacher, Juan is passionate about sharing his knowledge and helps enthusiastic learners enhance their skill sets.
Accreditation
This course is accredited by CPDQE. The demand for professionals to engage in Continuing Professional Development is escalating, irrespective of the industry, career stage, or job function. CPD serves as an impactful mechanism for skill enhancement, maintaining the relevance of academic credentials, and strategically advancing one’s career.
This CPDQE Certified Course will ensure that you have obtained the required CPD trainings for your professional development.
What Students say about us
The courses on the website are well designed, very clear and you can learn a lot of useful skills from them. A very
Enjoying the course at my pace, repeating what I did not understand and learning
Frequently Asked Questions
Everything you need to now about he product billing.
To purchase a course, simply select the course you want, choose your plan from the top right side, and click on the ‘Take this course’ button to initiate the checkout process. You will receive access as soon as the payment is processed.
We accept various payment methods, including credit/debit cards, PayPal, and bank transfer. If you don’t have a card or paypal, contact us for alternative payment methods.
If you’re not satisfied with our course, you can request a refund within 14 days of purchase. We follow a no-questions-asked refund policy, and you will receive a full refund.
Yes, upon successful completion of the course and exam (if applicable), you will receive a free digital certificate that can be downloaded and printed.
Yes, our courses are CPDQE accredited. CPDQE is an independent body that accredits courses and events for continuous professional development, ensuring they meet high-quality standards.
You can verify your certificate by visiting the Learndrive certificate verification page and entering your certification code. This will confirm the authenticity of your certificate.
To redeem your voucher, first visit the voucher redemption page. Enter your personal details and paste the voucher code into the designated field (do not type the code manually). After that, click the “Send” button. You will receive your login details via the email address you provided. Once you have received them, log in to our website and access your course from your dashboard.
Course Curriculum
| Course Promo | |||
| Python Promo Video | 00:05:00 | ||
| Section 1: Introduction to Python Programming from A-Z | |||
| Intro To Python Programming | 00:06:00 | ||
| What is Python Programming – Python for Data Science and Machine Learning | 00:07:00 | ||
| Who is This Course For – Python Programming | 00:05:00 | ||
| Python Marketplace | 00:06:00 | ||
| Python Job Opportunities | 00:05:00 | ||
| Getting a python job w.o degree | 00:09:00 | ||
| Python Job Roles | 00:09:00 | ||
| Python Course Structure | 00:05:00 | ||
| Section 2: Getting Familiar with Python | |||
| Getting Familiar With Python (section overview) | 00:06:00 | ||
| Installing Python on Windows | 00:10:00 | ||
| Anaconda and Jupyter Notebooks Part1 | 00:08:00 | ||
| Anaconda and Jupyter Notebooks Part2 | 00:17:00 | ||
| Python Syntax | 00:03:00 | ||
| Line Structure Part1 | 00:03:00 | ||
| Line Structure Part2 | 00:08:00 | ||
| Comments | 00:05:00 | ||
| Joining Lines | 00:05:00 | ||
| Multiple Statements on a Single Line | 00:05:00 | ||
| Indentation | 00:08:00 | ||
| Section 3: Python Basic Data Types | |||
| Python Basic Data Types (section overview) | 00:09:00 | ||
| Python Variables | 00:09:00 | ||
| Integers and Float | 00:09:00 | ||
| Strings Overview | 00:10:00 | ||
| String Manipulation – Data Science and Machine Learning with R | 00:08:00 | ||
| String Indexing | 00:05:00 | ||
| String Slicing | 00:09:00 | ||
| Booleans | 00:05:00 | ||
| Printing | 00:10:00 | ||
| Mini-Project 1 – Letter Counter (1) | 00:20:00 | ||
| Care for a Feedback | 00:01:00 | ||
| Section 4: Python Operators | |||
| Python Operators (section overview) | 00:05:00 | ||
| Arithmetic Operators | 00:09:00 | ||
| Assignment Operators | 00:04:00 | ||
| Comparison Operators | 00:10:00 | ||
| Logical Operators | 00:13:00 | ||
| Identity Operators (Need slide update as (Equality is misspelled) | 00:05:00 | ||
| Membership Operators | 00:02:00 | ||
| Bitwise Operators | 00:08:00 | ||
| Section 5: Python Advanced Data Types | |||
| Python Advanced Data Types (section overview) | 00:11:00 | ||
| List Overview | 00:05:00 | ||
| List Indexing and Slicing | 00:05:00 | ||
| Tuples | 00:03:00 | ||
| Sets | 00:06:00 | ||
| Dictionary | 00:11:00 | ||
| When to use each one | 00:05:00 | ||
| Compound Data Types | 00:03:00 | ||
| Section 6: Python Control Flow Part 1 | |||
| Control Flow Part 1 (section overview) | 00:15:00 | ||
| Basic Conditional Statements | 00:14:00 | ||
| Intro to Control Flow | 00:01:00 | ||
| More Conditional Statements | 00:05:00 | ||
| For Loops | 00:10:00 | ||
| While Loops | 00:12:00 | ||
| Section 7: Python Control Flow Part 2 | |||
| Control Flow Part 2 (section overview) | 00:03:00 | ||
| Break Statements | 00:08:00 | ||
| Continue Statements | 00:05:00 | ||
| Zip Function | 00:08:00 | ||
| Enumerate Function | 00:04:00 | ||
| List Comprehension | 00:05:00 | ||
| Section 8: Python Functions | |||
| Python Functions (section overview) | 00:03:00 | ||
| Intro to Functions | 00:03:00 | ||
| Python Help Function | 00:04:00 | ||
| Defining Functions | 00:10:00 | ||
| Variable Scope | 00:09:00 | ||
| Doc Strings | 00:04:00 | ||
| Section 9: User Input and Error Handling | |||
| Error Handling and User Input (section overview) | 00:02:00 | ||
| Intro to Error Handling | 00:03:00 | ||
| User Input | 00:05:00 | ||
| Syntax Errors | 00:04:00 | ||
| Exceptions | 00:12:00 | ||
| Handling Exceptions 1 | 00:09:00 | ||
| Handling Exceptions 2 | 00:09:00 | ||
| Section 10: Python Advanced Functions | |||
| Python Advanced Functions (section overview) | 00:06:00 | ||
| Lambda Functions | 00:06:00 | ||
| Functions args and kwargs | 00:10:00 | ||
| Iterators | 00:09:00 | ||
| Generators and Yield | 00:12:00 | ||
| Map Functions | 00:15:00 | ||
| Filter | 00:08:00 | ||
| Section 11: Python Scripting and Libraries | |||
| Scripting and Libraries (section overview) | 00:05:00 | ||
| What is a script | 00:02:00 | ||
| What is an IDE | 00:18:00 | ||
| What is a text editor | 00:12:00 | ||
| From jupyter notebook to vscode 1 | 00:15:00 | ||
| From jupyter notebook to vscode 2 | 00:05:00 | ||
| Importing Scripts | 00:03:00 | ||
| Standard Libraries | 00:05:00 | ||
| Third Party Libraries | 00:06:00 | ||
| Section 12: NumPy | |||
| Numpy section overview | 00:05:00 | ||
| What is NumPy | 00:05:00 | ||
| Why NumPy | 00:05:00 | ||
| NumPy Arrays – Python Programming | 00:11:00 | ||
| Reshaping, Modifying and Accessing NumPy arrays | 00:08:00 | ||
| Slicing and Copying | 00:06:00 | ||
| Inserting , Deleting, Appending | 00:10:00 | ||
| Logical Indexing | 00:04:00 | ||
| Broadcasting – Python Programming | 00:09:00 | ||
| Section 13: Pandas | |||
| 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 | 00:11:00 | ||
| Section 14: Intro To OOP | |||
| Functional vs OOP | 00:07:00 | ||
| OOP key definitions | 00:04:00 | ||
| Create your First Class | 00:13:00 | ||
| How to create and use Objects | 00:06:00 | ||
| Modifying Attributes | 00:13:00 | ||
| Section 15: Advanced OOP | |||
| Python Decorators | 00:28:00 | ||
| Property Decorator | 00:09:00 | ||
| Class Methods Decorator | 00:08:00 | ||
| Static Methods Decorators | 00:11:00 | ||
| Inheritance | 00:21:00 | ||
| Section 16: Starting a Career in Python | |||
| Starting a Career in Python Overview | 00:06:00 | ||
| Getting Started with Freelancing | 00:10:00 | ||
| Building a Brand | 00:12:00 | ||
| Personal Branding | 00:14:00 | ||
| Importance of Website Blog | 00:05:00 | ||
| Networking Do_s and Don_ts – Python Programming | 00:06:00 | ||
| Top Freelance Sites – Python Programming | 00:08:00 | ||
| Creating a Python Developer Resume | 00:06:00 | ||
| Final Quiz: Python Programming | |||
| Final Quiz: Python Programming | 00:10:00 | ||
| Assessment Test | |||
| Python Programming Assessment Test | 00:15:00 | ||
| Order Your Transcript | |||
| Order Your Transcript | 00:01:00 | ||
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