Data is shaping our world — from personalized Netflix recommendations to stock market predictions. Data science is the field that extracts insights and intelligence from raw data to inform decisions, build systems, and uncover trends.
Python and R are the two main programming languages in data science. Python is praised for its readability and extensive libraries like Pandas, NumPy, and Scikit-learn. R is popular in academia and excels at statistical analysis and visualization.
A data scientist’s toolkit includes:
- Jupyter Notebooks for creating and sharing live code with visualizations
- Matplotlib, Seaborn, and Plotly for plotting trends
- SQL for querying databases
- Machine learning models to make predictions and detect patterns
In Canada, data science is growing across industries like healthcare, fintech, e-commerce, and government. Organizations are hungry for insights, and skilled data professionals are in demand.
Our course teaches you how to clean, analyze, visualize, and present data. You’ll learn how to ask the right questions — and answer them using data.