Fundamentals of Data Science

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).

Target audience:
Anybody with an interest in Data Science and improve their data mining and statistical modelling skills.

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

Program:

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

At the end of this course attendees will know:

• how to clean and prepare your data for analysis;
• how to perform basic visualisation of your data;
• how to model your data;
• how to curve-fit your data.

Trainer:
Michael Burgess

Koolitushind sisaldab:

• koolitust;
• õppematerjale;
• tunnistust.

Lisaks pakume:

• sooje jooke koos küpsistega;
• lõunasööki igal koolituspäeval.