Data is transforming every industry — from business and healthcare to finance and technology — and data scientists are at the centre of this revolution. Introduction to Data Science: Learn Python, Analytics & AI Basics gives you a complete introduction to the world of data science, even if you have no prior experience in coding or analytics. This course combines theory with hands-on practice to help you understand how data is collected, processed, analysed, and used to make intelligent decisions.

You’ll start by exploring what data science is and how it fits into the modern digital economy. The first module introduces key concepts, tools, and technologies used by professionals in the field. You’ll discover how Python — one of the most popular programming languages for data science — is applied in real-world analytics and AI projects.

As you progress, you’ll learn how to collect and clean data effectively, ensuring accuracy and consistency in your analyses. You’ll gain practical experience working with datasets and learn how to handle missing values, remove duplicates, and prepare data for deeper insights. The following module focuses on data analysis and statistics, where you’ll develop an understanding of descriptive statistics, correlations, and probability — the foundation of all data-driven decisions.

In the visualisation module, you’ll learn how to turn complex data into clear, impactful visuals using Python libraries like Matplotlib and Seaborn. You’ll discover how charts, graphs, and dashboards help communicate insights to non-technical audiences, an essential skill for every data professional.

The course concludes with an introduction to machine learning and artificial intelligence, giving you a glimpse into predictive modelling and automation. You’ll understand how algorithms learn from data, recognise patterns, and generate insights that drive innovation across industries. Finally, you’ll explore how data science is applied in real-world business contexts, connecting all the skills you’ve learned to practical applications.

By the end of this course, you’ll have a strong foundation in Python programming, data analysis, and visualisation — along with an understanding of how AI and machine learning fit into the data science workflow. Whether you’re preparing for a career in data or simply want to understand the data-driven world around you, this course gives you the confidence and skills to take the next step.