What is Data Analytics?

"Without data, you're just another person with an opinion."
— W. Edwards Deming

Data analytics is the process of examining raw data to uncover patterns, answer questions, and support decision-making.

It helps companies forecast demand, doctors diagnose diseases, and governments plan cities.
Just as microscopes let us study cells, data analytics lets us study patterns in behavior, performance, or risk.

We call this data-driven thinking, and it’s becoming a core skill for everyone — not just engineers or analysts.

We generate enormous amounts of data every day:
tweets, health trackers, purchase histories, school records, GPS signals, even electricity usage.

Knowing how to read, organize, and learn from that data gives you an edge in almost any field.
Data analytics helps you ask better questions — and find better answers.

This course will help you understand the core tools of data analysis using Python.

You’ll explore:

• Python basics and logic
• Numerical analysis with NumPy
• Data cleaning and manipulation with Pandas
• Data visualization using Matplotlib and Seaborn
• A basic introduction to machine learning tools

Whether you're planning to work with data directly or just want to understand the language of decisions, you're in the right place.

To get a visual overview of how data moves from raw input to actionable insight, explore the short slide deck below.