Fundamentals of Data Science is a three day overview course which blends discussion and group exercises to explore the field of data science with applied real world examples and projects.
Teaching begins with a conceptual introduction to science, data science, big data and machine learning; followed by a litany of real-world data science and machine learning examples.
The remainder is divided into two parts: introduction to Python, and the application of the language in building a Machine Learning model (including data preparation, statistical tests, feature engineering, modelling and evaluation).
Delegates attending this course should have technical skills such as application or SQL programming – expose to Python or R would be advantageous.
- Intro to Science and Business
- Intro to Big Data
- Intro to Machine Learning
- Intro to Mathematics
- Intro to Statistics
- Intro to Python