Overview

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).

Prerequisites

Delegates attending this course should have technical skills such as application or SQL programming – expose to Python or R would be advantageous.

Course Outline

  • Intro to Science and Business
  • Intro to Big Data
  • Intro to Machine Learning
  • Intro to Mathematics
  • Intro to Statistics
  • Intro to Python

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