Course Features

Price

Original price was: $905.83.Current price is: $27.71.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

6 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

Overview

Data Analysis with NumPy and Pandas is the definitive course for anyone ready to turn raw data into meaningful insights using Python. From foundational concepts to advanced manipulation techniques, this course equips you with the tools to handle real-world datasets confidently. You’ll begin by mastering NumPy, learning how to create, slice, reshape, and perform efficient mathematical operations on arrays. Then, you’ll move into Pandas, where you’ll gain the ability to clean, filter, merge, and group complex datasets with ease.

Throughout the lessons, you’ll apply these skills to practical scenarios such as analysing financial data, performing trend analysis, and visualising patterns for business decision-making. Each topic is explained step by step, ensuring clarity for beginners while offering depth for professionals who want to refine their analytical workflow.

By the end of this course, you’ll know how to process and manipulate data efficiently, extract insights, and prepare datasets for visualisation or machine learning models. You’ll also develop the confidence to handle missing values, work with time series data, and automate repetitive data-cleaning tasks — all essential skills for modern analysts and data-driven professionals.

Learners will receive a free course completion certificate after finishing the training. Those who wish to enhance their professional profile can access premium certificate and transcript options for a small additional fee. Additionally, our 5-star rated support team is available 24/7 via email, ready to assist you at every stage of your learning journey.

This course is ideal for data enthusiasts, Python beginners, analysts, and anyone interested in learning how to clean, transform, and analyse data efficiently. It’s also perfect for business professionals who want to make data-driven decisions without relying on complex tools.
No advanced programming experience is required. Learners should have basic computer literacy and a working knowledge of Python syntax. Access to Python, Jupyter Notebook, or Google Colab will enhance your hands-on experience.
Completing this course opens doors to roles such as Data Analyst, Business Intelligence Specialist, or Python Developer. It also serves as a strong foundation for pursuing advanced certifications in data science, AI, and machine learning.

Who is this course for?

Data Analysis with NumPy and Pandas is the definitive course for anyone ready to turn raw data into meaningful insights using Python. From foundational concepts to advanced manipulation techniques, this course equips you with the tools to handle real-world datasets confidently. You’ll begin by mastering NumPy, learning how to create, slice, reshape, and perform efficient mathematical operations on arrays. Then, you’ll move into Pandas, where you’ll gain the ability to clean, filter, merge, and group complex datasets with ease.

Throughout the lessons, you’ll apply these skills to practical scenarios such as analysing financial data, performing trend analysis, and visualising patterns for business decision-making. Each topic is explained step by step, ensuring clarity for beginners while offering depth for professionals who want to refine their analytical workflow.

By the end of this course, you’ll know how to process and manipulate data efficiently, extract insights, and prepare datasets for visualisation or machine learning models. You’ll also develop the confidence to handle missing values, work with time series data, and automate repetitive data-cleaning tasks — all essential skills for modern analysts and data-driven professionals.

Learners will receive a free course completion certificate after finishing the training. Those who wish to enhance their professional profile can access premium certificate and transcript options for a small additional fee. Additionally, our 5-star rated support team is available 24/7 via email, ready to assist you at every stage of your learning journey.

This course is ideal for data enthusiasts, Python beginners, analysts, and anyone interested in learning how to clean, transform, and analyse data efficiently. It’s also perfect for business professionals who want to make data-driven decisions without relying on complex tools.
No advanced programming experience is required. Learners should have basic computer literacy and a working knowledge of Python syntax. Access to Python, Jupyter Notebook, or Google Colab will enhance your hands-on experience.
Completing this course opens doors to roles such as Data Analyst, Business Intelligence Specialist, or Python Developer. It also serves as a strong foundation for pursuing advanced certifications in data science, AI, and machine learning.

Requirements

Data Analysis with NumPy and Pandas is the definitive course for anyone ready to turn raw data into meaningful insights using Python. From foundational concepts to advanced manipulation techniques, this course equips you with the tools to handle real-world datasets confidently. You’ll begin by mastering NumPy, learning how to create, slice, reshape, and perform efficient mathematical operations on arrays. Then, you’ll move into Pandas, where you’ll gain the ability to clean, filter, merge, and group complex datasets with ease.

Throughout the lessons, you’ll apply these skills to practical scenarios such as analysing financial data, performing trend analysis, and visualising patterns for business decision-making. Each topic is explained step by step, ensuring clarity for beginners while offering depth for professionals who want to refine their analytical workflow.

By the end of this course, you’ll know how to process and manipulate data efficiently, extract insights, and prepare datasets for visualisation or machine learning models. You’ll also develop the confidence to handle missing values, work with time series data, and automate repetitive data-cleaning tasks — all essential skills for modern analysts and data-driven professionals.

Learners will receive a free course completion certificate after finishing the training. Those who wish to enhance their professional profile can access premium certificate and transcript options for a small additional fee. Additionally, our 5-star rated support team is available 24/7 via email, ready to assist you at every stage of your learning journey.

This course is ideal for data enthusiasts, Python beginners, analysts, and anyone interested in learning how to clean, transform, and analyse data efficiently. It’s also perfect for business professionals who want to make data-driven decisions without relying on complex tools.
No advanced programming experience is required. Learners should have basic computer literacy and a working knowledge of Python syntax. Access to Python, Jupyter Notebook, or Google Colab will enhance your hands-on experience.
Completing this course opens doors to roles such as Data Analyst, Business Intelligence Specialist, or Python Developer. It also serves as a strong foundation for pursuing advanced certifications in data science, AI, and machine learning.

Career path

Data Analysis with NumPy and Pandas is the definitive course for anyone ready to turn raw data into meaningful insights using Python. From foundational concepts to advanced manipulation techniques, this course equips you with the tools to handle real-world datasets confidently. You’ll begin by mastering NumPy, learning how to create, slice, reshape, and perform efficient mathematical operations on arrays. Then, you’ll move into Pandas, where you’ll gain the ability to clean, filter, merge, and group complex datasets with ease.

Throughout the lessons, you’ll apply these skills to practical scenarios such as analysing financial data, performing trend analysis, and visualising patterns for business decision-making. Each topic is explained step by step, ensuring clarity for beginners while offering depth for professionals who want to refine their analytical workflow.

By the end of this course, you’ll know how to process and manipulate data efficiently, extract insights, and prepare datasets for visualisation or machine learning models. You’ll also develop the confidence to handle missing values, work with time series data, and automate repetitive data-cleaning tasks — all essential skills for modern analysts and data-driven professionals.

Learners will receive a free course completion certificate after finishing the training. Those who wish to enhance their professional profile can access premium certificate and transcript options for a small additional fee. Additionally, our 5-star rated support team is available 24/7 via email, ready to assist you at every stage of your learning journey.

This course is ideal for data enthusiasts, Python beginners, analysts, and anyone interested in learning how to clean, transform, and analyse data efficiently. It’s also perfect for business professionals who want to make data-driven decisions without relying on complex tools.
No advanced programming experience is required. Learners should have basic computer literacy and a working knowledge of Python syntax. Access to Python, Jupyter Notebook, or Google Colab will enhance your hands-on experience.
Completing this course opens doors to roles such as Data Analyst, Business Intelligence Specialist, or Python Developer. It also serves as a strong foundation for pursuing advanced certifications in data science, AI, and machine learning.

    • NumPy Introduction – Creating NumPy Arrays 00:10:00
    • Array Indexing and Slicing 00:10:00
    • Understanding NumPy Data Types 00:10:00
    • Handling np.nan and np.inf 00:10:00
    • Statistical Operations in NumPy 00:10:00
    • Reshaping Arrays – shape(), reshape(), ravel(), flatten() 00:10:00
    • Array Creation – arange(), linspace(), random(), zeros(), ones() 00:10:00
    • Conditional Selection with where() 00:10:00
    • Reading and Writing NumPy Arrays 00:10:00
    • Array Concatenation and Sorting 00:10:00
    • Pandas Series Introduction – Part 1 00:10:00
    • Pandas Series Introduction – Part 2 00:10:00
    • Reading Series Data from Files 00:10:00
    • Using Built-in Functions with Series 00:10:00
    • Applying apply() on Pandas Series 00:10:00
    • Creating DataFrames from Scratch 00:10:00
    • Reading Files as DataFrames 00:10:00
    • Column Manipulation – Part 1 00:10:00
    • Column Manipulation – Part 2 00:10:00
    • Arithmetic Operations in DataFrames 00:10:00
    • Handling NULL Values 00:10:00
    • DataFrame Filtering – Part 1 00:10:00
    • DataFrame Filtering – Part 2 00:10:00
    • Handling Unique and Duplicated Values 00:10:00
    • Retrieving Rows by Index Label 00:10:00
    • Replacing Cell Values in DataFrames 00:10:00
    • Renaming and Deleting Index and Columns 00:10:00
    • Using Lambda with apply() 00:10:00
    • Grouping Data with groupby() 00:10:00
    • Grouping Data with groupby() 00:10:00
    • Merging, Joining, and Concatenation – Part 1 00:10:00
    • Concatenating DataFrames 00:10:00
    • Merging and Joining DataFrames 00:10:00
    • Working with DateTime in Pandas 00:10:00
    • Reading Stock Data from Yahoo Finance 00:10:00
    • Exam of Data Analysis with NumPy and Pandas: Practical Techniques in Python 00:50:00
    • Premium Certificate 00:15:00
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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.

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.

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.

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.

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.

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.

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.

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

Original price was: $905.83.Current price is: $27.71.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

6 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

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