According to Wikipedia, data science is, ‘an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.’
Our course is designed for any sixth former who wishes to learn more about data science, its uses and its relation to mathematics and programming. The course will examine:
- Data: management, analysis, storage and computing power
- Theory and Fundamentals: volume, velocity, variety and descriptive and predictive methods
- Algorithms and Applications: supervised and unsupervised learning algorithms (regression and K-means clustering)
- Programming and Tools: Python(Spyder), Jupiter Notebook and Anaconda
The course is taught by Dmitry Borozdenkov. His successful career in investment banking and fund management has been built on his use of data science. Dmitry’s research is in improving portfolio performance with dimension reduction techniques. He also has a Masters in Data Science from City, University of London and a BSc in Mathematics from Kings College London. Above all, Dmitry has passion for conveying his knowledge of the subject.