Course Features
Price
Study Method
Online | Self-paced
Course Format
Reading Material - PDF, article
Duration
4 hours, 45 minutes
Qualification
No formal qualification
Certificate
At completion
Additional info
Coming soon
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Overview
Python Programming Data Science is one of the most essential skill sets for today’s data-driven professionals. This course provides a clear, step-by-step introduction to Python and its powerful applications in data science. You’ll start from the very basics — understanding Python syntax, variables, and loops — and quickly progress to advanced concepts like string manipulation, conditional logic, functions, and file handling for real-world projects.
Through practical lessons, you’ll gain hands-on experience using Jupyter Notebook, the most popular environment for coding and analysis. You’ll learn to write efficient Python code, manage datasets, perform logical operations, and automate repetitive tasks — all while building a strong foundation in computational thinking. Each topic has been carefully structured to help you move from theory to practice seamlessly.
By the end of this course, you’ll be able to confidently use Python to process, analyse, and visualise data — key skills that open doors to data science, analytics, and machine learning roles. You’ll not only understand the logic behind Python programs but also learn how to handle files and interact with real datasets effectively.
Every learner receives a free course completion certificate upon finishing the course. For those wishing to strengthen their portfolio or showcase achievements professionally, premium certificate and transcript options are available for purchase. Additionally, all learners can rely on our 5-star rated support team, available 24/7 via email, to provide quick, expert assistance whenever needed.
Who is this course for?
Python Programming Data Science is one of the most essential skill sets for today’s data-driven professionals. This course provides a clear, step-by-step introduction to Python and its powerful applications in data science. You’ll start from the very basics — understanding Python syntax, variables, and loops — and quickly progress to advanced concepts like string manipulation, conditional logic, functions, and file handling for real-world projects.
Through practical lessons, you’ll gain hands-on experience using Jupyter Notebook, the most popular environment for coding and analysis. You’ll learn to write efficient Python code, manage datasets, perform logical operations, and automate repetitive tasks — all while building a strong foundation in computational thinking. Each topic has been carefully structured to help you move from theory to practice seamlessly.
By the end of this course, you’ll be able to confidently use Python to process, analyse, and visualise data — key skills that open doors to data science, analytics, and machine learning roles. You’ll not only understand the logic behind Python programs but also learn how to handle files and interact with real datasets effectively.
Every learner receives a free course completion certificate upon finishing the course. For those wishing to strengthen their portfolio or showcase achievements professionally, premium certificate and transcript options are available for purchase. Additionally, all learners can rely on our 5-star rated support team, available 24/7 via email, to provide quick, expert assistance whenever needed.
Requirements
Python Programming Data Science is one of the most essential skill sets for today’s data-driven professionals. This course provides a clear, step-by-step introduction to Python and its powerful applications in data science. You’ll start from the very basics — understanding Python syntax, variables, and loops — and quickly progress to advanced concepts like string manipulation, conditional logic, functions, and file handling for real-world projects.
Through practical lessons, you’ll gain hands-on experience using Jupyter Notebook, the most popular environment for coding and analysis. You’ll learn to write efficient Python code, manage datasets, perform logical operations, and automate repetitive tasks — all while building a strong foundation in computational thinking. Each topic has been carefully structured to help you move from theory to practice seamlessly.
By the end of this course, you’ll be able to confidently use Python to process, analyse, and visualise data — key skills that open doors to data science, analytics, and machine learning roles. You’ll not only understand the logic behind Python programs but also learn how to handle files and interact with real datasets effectively.
Every learner receives a free course completion certificate upon finishing the course. For those wishing to strengthen their portfolio or showcase achievements professionally, premium certificate and transcript options are available for purchase. Additionally, all learners can rely on our 5-star rated support team, available 24/7 via email, to provide quick, expert assistance whenever needed.
Career path
Python Programming Data Science is one of the most essential skill sets for today’s data-driven professionals. This course provides a clear, step-by-step introduction to Python and its powerful applications in data science. You’ll start from the very basics — understanding Python syntax, variables, and loops — and quickly progress to advanced concepts like string manipulation, conditional logic, functions, and file handling for real-world projects.
Through practical lessons, you’ll gain hands-on experience using Jupyter Notebook, the most popular environment for coding and analysis. You’ll learn to write efficient Python code, manage datasets, perform logical operations, and automate repetitive tasks — all while building a strong foundation in computational thinking. Each topic has been carefully structured to help you move from theory to practice seamlessly.
By the end of this course, you’ll be able to confidently use Python to process, analyse, and visualise data — key skills that open doors to data science, analytics, and machine learning roles. You’ll not only understand the logic behind Python programs but also learn how to handle files and interact with real datasets effectively.
Every learner receives a free course completion certificate upon finishing the course. For those wishing to strengthen their portfolio or showcase achievements professionally, premium certificate and transcript options are available for purchase. Additionally, all learners can rely on our 5-star rated support team, available 24/7 via email, to provide quick, expert assistance whenever needed.
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- Course Introduction 00:10:00
- Introduction to Machine Learning 00:10:00
- Installing Anaconda & Python on Windows 00:10:00
- Installing Anaconda on Linux 00:10:00
- Introduction to Jupyter Notebook and Keyboard Shortcuts 00:10:00
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- Arithmetic Operations in Python 00:10:00
- Data Types in Python 00:10:00
- Type Casting in Python 00:10:00
- String Operations and Handling 00:10:00
- String Slicing Techniques 00:10:00
- String Formatting and Editing 00:10:00
- Boolean Variables and Evaluation 00:10:00
- Working with Lists in Python 00:10:00
- Understanding Tuples 00:10:00
- Exploring Sets in Python 00:10:00
- Using Dictionaries Effectively 00:10:00
- Conditional Statements – If Else 00:10:00
- While Loops 00:10:00
- For Loops 00:10:00
- Writing and Using Functions 00:10:00
- Working with Date and Time 00:10:00
- File Handling – Reading and Writing Files 00:10:00
- Exam of Python Programming for Data Science: From Basics to File Handling 00:50:00
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Is this certificate recognized?
Yes, our premium certificate and transcript are widely recognized and accepted by embassies worldwide, particularly by the UK embassy. This adds credibility to your qualification and enhances its value for professional and academic purposes.
I am a beginner. Is this course suitable for me?
Yes, this course is designed for learners of all levels, including beginners. The content is structured to provide step-by-step guidance, ensuring that even those with no prior experience can follow along and gain valuable knowledge.
I am a professional. Is this course suitable for me?
Yes, professionals will also benefit from this course. It covers advanced concepts, practical applications, and industry insights that can help enhance existing skills and knowledge. Whether you are looking to refine your expertise or expand your qualifications, this course provides valuable learning.
Does this course have an expiry date?
No, you have lifetime access to the course. Once enrolled, you can revisit the materials at any time as long as the course remains available. Additionally, we regularly update our content to ensure it stays relevant and up to date.
How do I claim my free certificate?
I trust you’re in good health. Your free certificate can be located in the Achievement section. The option to purchase a CPD certificate is available but entirely optional, and you may choose to skip it. Please be aware that it’s crucial to click the “Complete” button to ensure the certificate is generated, as this process is entirely automated.
Does this course have assessments and assignments?
Yes, the course includes both assessments and assignments. Your final marks will be determined by a combination of 20% from assignments and 80% from assessments. These evaluations are designed to test your understanding and ensure you have grasped the key concepts effectively.
Is this course accredited?
We are a recognized course provider with CPD, UKRLP, and AOHT membership. The logos of these accreditation bodies will be featured on your premium certificate and transcript, ensuring credibility and professional recognition.
Will I receive a certificate upon completion?
Yes, you will receive a free digital certificate automatically once you complete the course. If you would like a premium CPD-accredited certificate, either in digital or physical format, you can upgrade for a small fee.
Course Features
Price
Study Method
Online | Self-paced
Course Format
Reading Material - PDF, article
Duration
4 hours, 45 minutes
Qualification
No formal qualification
Certificate
At completion
Additional info
Coming soon
- Share
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