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.
Koolitusfirma tutvustus
Nordic Koolitus OÜ - praktilised IT- ja juhtimiskoolitused Loen koolitusfirma kohta veel...